Harvard Free Courses online for 2021 from EDX

Does Harvard offer free online courses?

Yes, the Harvard University offers free online courses to everyone from every corner of the world. The course duration ranges from a week to 15 weeks based on a variety of subjects from Humanities to computer science, Business & finance to Health & Medicine, and many more.

search trend of harvard free courses online

Are Harvard online free courses worth it?

The Massive Open Online Course industry is booming, as branded schools like Yale, MIT, Harvard, and many other are providing many opportunities to learn something new and show your employers that you are motivated and willing to learn. From the figure below, you can see that the interest of learners for getting Harvard free courses online has increased and is nearly consistent from the October 2020.
harvard free courses online

Harvard and many other online learning platforms provide free classes; however, they will not offer any credentials, but paid classes will provide a certificate upon completion.

The certificates earned from online courses will make you stand apart from others, but this alone won’t land you a job until and unless you show what you know and whether you can communicate intelligently about what you have learned.

Benefits of the Verified Track Certificate

  • You’ll get unlimited Course Access: Where you can learn at your own pace, and access course materials anytime to brush up your skills and get an overview of what you’ve learned.
  • Graded Assignments: Important to Build-up your skills through graded assignments and projects.
  • Easily Sharable: You can add the verified certificate to your CV or resume, or can post it directly on LinkedIn.

Many people or entrepreneurs are taking free courses even before launching their businesses or starting freelancing. The possibilities are endless, with a wide range of subjects ranging from Humanities to computer science and finance to fine arts.

How can you get free courses at Harvard?

For getting Harvard free courses online, you’ll have to Signup at Edx.org

  • Select the course of your choice and Enroll
  • Go for “Audit This Course (No Certificate)”
  • You can get the course for free and have complete access to all the course material, activities, tests, and forums.
  • Please note that this method/track does not offer a certificate for learners who earn a passing grade.
We have listed following Harvard free courses online in various categories:
 

Harvard FREE Course Categories

Architecture (1)

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$199.00
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Architecture

Art & Culture (2)

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$149.00
  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Culture Egyptian history History
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • Additional source readings from scholarly publications which is especially enriching.
  • This course provides real education with great packed material.
  • The Professor's concise teaching of the main concepts gives you better insight.
  • Allows you to visualize some of what has been lost.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Course difficulty has been considered to be very hard.
  • Need more elaboration on some course topics.
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$100.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Ancient languages Books and Manuscripts Culture History Japanese history

Business Essentials (9)

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$39.00
  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Business AI Cloud computing Data Science
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.4
Content Rating
9.6
PROS:
  • Teaches the subject with simplicity and purpose.
  • Part of multiple programs will make you proficient in the field.
  • Course gives clear picture of fundamentals of technologies and its services.
CONS:
  • Concepts needs to be explained using real time example.
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$199.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Law
The score is based on the quality of the course content & user experience as derived from classcentral.com
Learning Experience
9
PROS:
  • Challenging Course, laid out in a manner that it gets harder as you go along.
  • Charles Fried, the lecturer, has a fantastic storytelling ability.
  • Well-taught foundational concepts as well as some of the minutiae of contracts.
CONS:
  • Lack of written supplemental material and absence of structured discussion on forums.
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$139.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Business Leadership
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$149.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Business Health and Society Health Research Healthcare
The score is based on the user experience as derived from class-central.com
Learning Experience
9.4
PROS:
  • Very much essential to learn the basics first.
  • Five strategies from this course will improve your knowledge about business and make you grit.
  • Four vital principles of this system emphasize the product and service. For more be enrolled.
  • Syllabus is framed in an excellent manner.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Found course difficulty to be medium.
  • Need more elaboration on some course topics.
  • Should be available in subtitles in different languages.
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$169.00
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  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Business Entrepreneurship
The score is based on the user experience as derived from classcentral.com
Learning Experience
9
PROS:
  • The course is very good and informative
  • Course subject is very important for People Who are studying economy, administration, and business.
CONS:
  • The course is difficult to be easy.
  • Self-assessment grading criteria need to be optimized.
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$169.00
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  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Business Health and Society Health Research Healthcare
PROS:
  • Better insight through lectures, global health care innovators, and real-world case examples.
  • The course is offered in two formats: an open, online experience and a limited, team-based deep dive experience.
  • Well-organized course with a quick technical and theoretical review.
  • In depth practical analysis of real world scenarios.
CONS:
  • Prior knowledge of financial accounting.
  • Need more elaboration on some course topics.
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$169.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Business Health and Society Health Research Healthcare
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Business
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Business Entrepreneurship
The score is based on the user experience as derived from classcentral.com
Learning Experience
9.8
PROS:
  • This course content brings you so much variety.
  • The videos, the speakers, the additional reading is absolutely great.
  • The assignments are short but to the point, really helpful.
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Law Philosophy

Chemistry (2)

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$169.00
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Course (Affordable Certificate)
  • English
  • Cooking Food Science
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • No need to have prior experience in chemistry or cooking.
  • You will learn how to properly marinate, and connect it with the diffusion equation.
  • Packed with great material and an interesting combination of cooking and physics.
  • You will also have the opportunity to become an experimental scientist in your very own laboratory in your kitchen.
  • Top-down approach with every video and able to do the homework.
CONS:
  • Should be available in subtitles in different languages.
  • One should familiar with basic mathematics concepts (arithmetic, algebra, geometry).
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$199.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Course (Affordable Certificate)
  • English
  • Electrochemistry Thermodynamics

Communication (1)

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$139.00
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Digital learning Education System Leadership Teachers
The score is based on the user experience as derived from class-central.com
Learning Experience
9
PROS:
  • Very useful course for any occupation and any ‘walk of life.
  • Explored organizational structure, physical design, and optimizing resources for Personalized Learning.
  • Also introduces a philosophy of learning as seen through the experiences of various teacher.
  • The examples and guest speakers are very interesting and informative.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Course material is not heavy.
  • Focused to different topics but in same learning quadrants.
  • Somewhere course material is too rigid.
  • Need more elaboration on some course topics.

Computer Science (11)

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$39.00
  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 1+ Years
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Cloud computing Data Science with 'Python' SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9
Content Rating
9.2
PROS:
  • Good introductory course to Cloud computing concepts
  • No prior experience required
  • Hands-on projects involving various popular technologies and programming languages
CONS:
  • Lengthy preliminary content
  • Unclear instructions for the final peer graded assignment
  • Final assignment is a bit difficult
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$79.00
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • IBM Mainframe z/OS
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.4
Content Rating
9.4
PROS:
  • Excellent course covering IBM Z architecture, design, hardware and software components
  • Explanations are very clear and understandable.
  • Good course at reasonable price.
  • Good course to start your career in Mainframe.
CONS:
  • Should have detailed Lab instructions for beginners.
  • Some of the exercises were exceptionally challenging.
  • Some questions in the quiz were not covered during the videos.
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$39.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Cyber attacks Cybersecurity
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.4
Content Rating
9.0
PROS:
  • Course gives much details about administration and infrastructure services.
  • Learn more about the data breaches, cyber threats and soc. intelligence.
  • Good exercise to use skills and information obtained through this course.
CONS:
  • Needs improvement in audio quality
  • More graded hands-on lab should be provided.
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$49.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Intermediate
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Cloud management IBM power systems Linux
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.5
Content Rating
9.4
PROS:
  • Great course to understand the fundamentals of Linux
  • One should be able to perform fundamental operational tasks.
  • Essential course to begin your career in system administration
CONS:
  • Errors with the content.
  • Labs in some cases do not work.
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$49.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Data Engineering Data Science Data Science with 'Python' SQL
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.2
Content Rating
9.2
PROS:
  • Hands-on experience with Python, SQL & fundamentals of the Data Engineering ecosystem.
  • Very informative and well-structured courses.
  • Good for getting acquainted with programming.
CONS:
  • Needs more practice material on connection to a database and use of SQL magic.
  • Issues with IBM cloud connectivity.
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$49.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Cyber attacks Cybersecurity
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.1
Content Rating
9.2
PROS:
  • A good introductory course that covers the essentials of cybersecurity.
  • Practice quizzes make the content easily understandable.
  • Details about types of cyberattacks and basics of networking.
CONS:
  • Need more in-depth content on some subjects as they were merely presented
  • Need improvement in audio-visual content.
  • Learners recommend adding some virtual labs.
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$39.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Cloud computing
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
8.8
Content Rating
9.6
PROS:
  • No need of any prior programming experience or Cloud background.
  • Helps to develop skillsets in a variety of technologies.
  • Multiple courses helps to get better insight.
CONS:
  • Very length preliminary content of some courses
  • Should be able to focus for long duration of time
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$49.00
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Cyber attacks Cybersecurity
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.4
Content Rating
9.1
PROS:
  • No need to have any prior experience.
  • Hands-on experience to develop skills.
  • Implementation of real-world cybersecurity case studies.
CONS:
  • Video and audio quality
  • Tests are very basic
  • Learning material needs to be up-to-date
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$199.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Computer programming Cryptography Cybersecurity Harvard Computer Science 50 (CS50) Law
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • CS50 itself takes a bottom-up approach, emphasizing mastery of low-level concepts and implementation details thereof.
  • It equips students with a deeper understanding of the legal implications of technological decisions made by clients.
  • Empowers students through a mix of technical instruction and discussion of case studies.
  • Hands-on experience with Python and SQL, languages via which they can mine data for answers themselves.
CONS:
  • This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers.
  • Need more elaboration on some course topics.
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$199.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Cloud computing Computer programming Harvard Computer Science 50 (CS50) Web delvelopment
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • Course takes a top-down approach, emphasizing mastery of high-level concepts and design decisions related thereto.
  • High-level overview of computer science.
  • Well-organized and relevant course information and videos one for each section.
CONS:
  • Assignments don't involve much math.
  • Designed for managers, product managers, founders, and decision-makers more generally.

Data Analytics (11)

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  • Coursera
  • deeplearning.ai
  • Microdegree
  • Self-paced
  • Intermediate
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Python
  • Intermediate Python Skills Linear Algebra Machine Learning Basics
  • Data Science Data Science with 'Python' Deep learning Machine learning Neural Networks TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.6
Content Rating
9.7
PROS:
  • Effective conceptualization on Neural Network and Deep Learning.
  • The Hyper parameter explanations are excellent.
  • Great coding exercises, improve understanding of the importance of vectorization
  • Deeper insight into how to enhance your algorithm and neural network and improve its accuracy.
  • Content delivery from a very experienced deep learning practitioner
  • Overview of existing architectures and certain applications of CNN's
CONS:
  • Need's organized structure of assignment & exercises
  • Automatic graders for programming assignments can be tricky
  • Assignment in the 5th course more challenging than other segments of the specialization
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  • Coursera
  • Stanford University
  • Online Course
  • Self-paced
  • All levels
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Deep learning Machine learning
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.8
Content Rating
9.7
PROS:
  • A complete and outstanding summary of main learning algorithms.
  • Precise presentation of mathematical and statistic concepts behind each algorithm.
CONS:
  • Python has not been included
  • The quizzes are very basic
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  • Coursera
  • Johns Hopkins University
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Data Analysis Data Science Data Science with 'R' Machine learning
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.0
Content Rating
9.3
PROS:
  • Data scientist toolbox is good to set you up for advance courses.
  • Insightful for those without technical/statistical background.
  • Assignments & quizzes are quite good & challenging.
  • Well understandable methods & construction of ML model.
  • After finishing this program one can start with KAGGEL datasets.
CONS:
  • Assignments in R prog. are too hard and challenging
  • Practical ML course does not cover how to write your own ML algorithms but it trains to use existing algorithms
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$350.00
  • EDX
  • University of California, San Diego
  • Online Course
  • Self-paced
  • Advanced
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Science Data Science with 'Python' Machine learning Natural language processing
Best seller
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$199.99
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  • Udemy
  • SuperDataScience
  • Online Course
  • Self-paced
  • All levels
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Data Science Data Science with 'Python' Data Science with 'R' Deep learning Machine learning Natural language processing
The score is based on the user experience as rated by the learners
Learning Experience
9
PROS:
  • Amazing course for beginners to understand everything in machine learning.
  • Excellent explanation on the process of writing and building of models.
CONS:
  • Course should include datasets and exercises.
  • Needs explaination on mathematics behind each algorithms.
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$199.99
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  • Udemy
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Apache Spark Training Data Science with 'Python' Deep learning Keras Machine learning Natural language processing TensorFlow
The score is based on the user experience as rated by the learners
Learning Experience
9.2
PROS:
  • Great course which covers most of the important concepts of python in Machine learning.
  • It is easy to understand for people that know python & machine learning algorithms.
  • Helpful exercises which helps to get a real world understanding of applying the concepts.
CONS:
  • Some ML topics needed better and more in depth explanation of the concepts.
  • Support vector machines, DL & Big Data topics should have more information.
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$49.00
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  • Coursera
  • University of Michigan
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Data Science Data Science with 'Python'
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.6
Content Rating
9.8
PROS:
  • Extremely useful to quickly and efficiently learn python basics.
  • Python data structure course concepts explained with lucid and engaging talks.
  • Meaningful learning experience on deeper understanding and doing the auto grader assignments.
  • Conceptual overviews are excellent in the 'Database with python course'.
  • Capstone course: Great to see how Python can be used for data visualization.
CONS:
  • Assignments/examples intended for beginners only (need practical examples).
  • Python to access web data course is challenging.
  • The Capstone course lacks organized content.
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$49.00
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Artificial intelligence Building AI Chatbots Data Science with 'Python' Machine learning Natural language processing
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.0
Content Rating
9.2
PROS:
  • The course module has been designed especially for beginners to understand the basics of AI.
  • The course on building AI-powered chatbots seems to be very informative, logically laid out, and well presented, as it is a great platform to learn AI-powered Chatbots without programming with Watson Assistant.
  • Excellent course for understanding the basics of python and introduction to Pandas and Numpy.
  • Useful information on an introduction to computer vision modeling, OpenCV, and its related projects.
CONS:
  • Users expect more exercise involving the tools of Watson.
  • Building an AI power chatbot course should be updated to reflect the latest changes in the Watson Conversation interface.
  • In the python for data science & AI course, the instructions for IBM Watson and how to set up the assignments are outdated.
  • The final assignment seems to be much harder.
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  • Skillshare
  • Sundog Education
  • Online Course
  • Self-paced
  • Intermediate
  • Less Than 24 Hours
  • Paid Course (Paid certificate)
  • English
  • Deep learning Keras Machine learning Natural language processing TensorFlow
The score is based on the user experience, rated by the learners.
Learning Experience
8.9
PROS:
  • Good introductory course on Deep Learning.
  • Demystifying a lot of terms and concepts, explain in a simple and clear way.
  • Recommended by learners as an intermediate level course.
CONS:
  • Need more description on models (Specifically hyperparameters).
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  • Skillshare
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Data Science Data Science with 'Python'
The score is based on the user experience, rated by the learners.
Learning Experience
8.8
PROS:
  • Excellent structure of the course
  • Well organized class proceeds with logical progression.
  • Clear and helpful Instruction.
  • Covers Python basics, great course for beginners.
  • Practical implementation of Examples.
CONS:
  • This course needs to have in-depth exercises.
  • Need to increase video recording speed.

Data Science (13)

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$199.99
  • Udemy
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Python Programming
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9.2/10

Big Data Specialization

  • Coursera
  • University of California, San Diego
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Apache Hadoop Apache Spark
  • None Pre-requisite
  • Apache Hadoop Training Apache Spark Training Big data Data Modeling Machine learning
Learning Experience
9.0
Content Rating
9.4
PROS:
  • Well structured course with a solid foundation and real-world problems
  • Provides a good overview and positioning of relevant big data technologies.
  • Step by step approach from basics of big data to Hadoop framework with hands-on mapping
  • Nice course to describe the traditional data modeling (RDBMS)
CONS:
  • Some exercises are a bit difficult to understand
  • The section on Spark needed more time and additional descriptions
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9.1/10

Text Mining and Analytics

  • Coursera
  • University of Illinois
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Free Trial (Paid Course & Certificate)
  • English
  • None Pre-requisite
  • Data Mining Natural language processing Probability
Learning Experience
9.0
Content Rating
9.2
PROS:
  • The pipeline proposed helps you understand text mining
  • Well defined key concepts and techniques for text mining and analytics
  • Provides a good foundation of text mining and analytics like PLSA and LDA
CONS:
  • Difficult programming assignments and quizzes
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8.2/10

Data Cleaning in Python

  • Udemy
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Paid Course (Paid certificate)
  • English
  • Python
  • Jupyter Notebook
  • Basic Scripting in Python
  • Data Cleaning Python Programming
Learning Experience
8.2
PROS:
  • Well designed course content
  • Every concept is explained very well
  • Programming aspects of each concept can be understood by anyone who has basic knowledge of Python.
CONS:
  • The example code is mostly list based instead of data frame-based
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  • Udemy
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Paid Course (Paid certificate)
  • English
  • Python
  • Google Colab
  • None Pre-requisite
  • Machine learning
Learning Experience
9.2
PROS:
  • Very well explained concepts
  • Sessions are good and informative
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  • Coursera
  • University of Michigan
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Python
  • High School-level Algebra
  • Data Analysis Data Science with 'Python' Data Visualization Practical Statistics
Learning experience
9.2
Content Rating
9.1
PROS:
  • Excellent course content, thoughtfully composed and carefully edited
  • Helpful course for a newcomer in data science studies
  • Supplementary material in Jupyter notebooks is extremely valuable
  • A great introduction to regression and bayesian analysis in python
CONS:
  • Python coding instruction itself could have been more detailed
  • Codes can be refactored in a way that can be more suitable for reproducible studies
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  • Coursera
  • University of Michigan
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Python
  • None Pre-requisite
  • Data Science with 'Python' Python Programming
Learning experience
9.2
Content Rating
9.2
PROS:
  • Very comprehensive and easy to understand
  • Beneficial course on object-oriented programming in python 3
  • Functional project at the end helps to understand how recommendation systems work
  • Hands-on practice with the Runestone Notebook Environment
CONS:
  • Little bit challenging, requires completing of Course 1
  • Runestone project needs debugging
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  • Coursera
  • Imperial College London
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Free Trial (Paid Course & Certificate)
  • English
  • Basic Maths
  • Eigenvalues And Eigenvectors Linear Algebra Essentials Machine learning Transformation Matrix
Learning experience
9.4
Content Rating
9.2
PROS:
  • Great way to learn Applied Linear Algebra
  • Should be fairly easy if you have any background with linear algebra
  • The team of lecturers is very likable and enthusiastic
CONS:
  • Requires fundamental understanding of Linear Algebra
  • Learner recommended intermediate level for enrollment to this course
  • Issues in the auto-grading of python notebooks in week 3
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  • Coursera
  • IBM
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Free Trial (Paid Course & Certificate)
  • English
  • None Pre-requisite
  • Artificial intelligence Data Science Deep learning Machine learning
Learning Experience
9.2
Content Rating
9.6
PROS:
  • Easy to understand the basic concepts in Artificial Intelligence
  • Explains the most basic ideas, terminologies, and technologies behind AI
  • Tests and assignments are good to test your understanding of the subject.
CONS:
  • Would be great if a more detailed view of the IBM Cloud platform was given.
Best seller
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$399.00
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EDUAWS20
Best deal at: Coursera
  • Edureka
  • Professional Certificate
  • Instructor-led Self-paced
  • Intermediate
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Experience with AWS Fundamentals of networking Fundamentals of Virtualization
  • AWS Cloud computing DevOps
Learning Experience
9.8
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Advanced
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Data Analysis Genomics Research methodology
The score is based on the quality of the course content & user experience as derived from coursetalk.com
Learning Experience
8.3
Content Rating
7
PROS:
  • Project is a great idea for all people who had a real interest for less that is the course or the time of study in a great university.
  • Throughout the case studies, you make use of exploratory plots to get a general overview.
  • Given the diversity in educational background of students you will find the series divided into seven parts.
  • Statisticians can consider skipping the first two or three courses.
CONS:
  • Need prior knowledge of PH525.3x, PH525.4x.
  • Could simplify the courses.
  • Need more elaboration on some course topics.
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • R
  • RStudio
  • None Pre-requisite
  • Data Analysis Data Science Data Science with 'R' Machine learning Probability Web Scraping
The score is based on the user experience as derived from class-central.com
Learning Experience
9
PROS:
  • Concise teaching of the main concepts and packed with great material.
  • Good practical examples and exercises related to the course subjects.
  • A very good vivid introduction to the subject and very clear to understand.
  • This part of the Professional Certificate Program in Data Science covers several standard steps.
CONS:
  • This is an entry-level course on the subject.
  • Very lengthy preliminary content.
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$199.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • C/C++
  • Applications of TinyML Basic Programming in C/C++ TinyML Course Kit
  • Artificial intelligence Data Science Data Science with 'Python' Deep learning Machine learning Microcontrollers TensorFlow TinyML
PROS:
  • Gain hands-on experience with embedded systems, machine learning training, and machine learning deployment.
  • The course features hands-on projects based on a TinyML Program Kit.
  • Kit plays a vital role in this course.
  • Also, they have provided a facility to preorder your Arduino kit here.
CONS:
  • Need to carry TinyML Course Kit.
  • Need more elaboration on some course topics.
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$199.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Python
  • Basic Scripting in Python
  • Artificial intelligence Data Science Data Science with 'Python' Deep learning Machine learning TinyML
PROS:
  • Focused on the basics of ML, DL and embedded devices and systems, such as smartphones and other tiny devices.
  • Provides a foundation for you to understand this emerging field.
  • Throughout the course, you will learn data science techniques.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • R
  • None Pre-requisite
  • Data Analysis Data Science Data Science with 'R' Practical Statistics Probability
The score is based on the user experience as derived from class-central.com
Learning Experience
8
PROS:
  • Concise, clear and very keen course material.
  • Very good introduction to the subject.
  • Covered valuable concepts in probability theory.
  • Evaluation of the case study using details of financial crisis of 2007-2008.
CONS:
  • Lack of theoretical depth and explanations.
  • More focused on the practical use of R to do some Probabilities.
  • This is an entry-level to the subject.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • R
  • Git RStudio
  • None Pre-requisite
  • Data Science Data Science with 'R' GitHub Practical Statistics
The score is based on the user experience as derived from class-central.com
Learning Experience
9.7
PROS:
  • Very easy, well-organized and packed with great material.
  • Useful information on Git/GitHub sections.
  • Demonstration with hands-on experience will give you better insight.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Should be available in subtitles in different languages.
  • Need more elaboration on some course topics.
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$149.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • R
  • Up-to-date browser required for programming
  • Data Analysis Data Science Data Visualization
The score is based on the user experience as derived from class-central.com
Learning Experience
9.4
PROS:
  • Engaging, well-organized course with a quick technical review.
  • Exercises provided, the themes are interesting to the proposed activities.
  • Not theoretical, nor about programming, this Course is quite interesting and practically oriented.
  • You will gain lot of practical knowledge in a minimum amount of time and effort.
CONS:
  • Exercises are based on quite complicated pieces of code.
  • Discussion Forums are full of people who written code meeting all conditions and still not accepted by algorithm.
  • Found the difficulty level adequate.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Data Analysis Practical Statistics
The score is based on the user experience as derived from class-central.com
Learning Experience
8
PROS:
  • Covered the basics of using R and a general overview of statistics.
  • Course material is released every week which allows flexibility for students.
  • Additional follow-up courses are available for matrix operations and advanced statistics.
  • Very good approach with several perspectives and concepts 
  • Watching videos, reading the material & doing exercises, you will emerge with a working understanding of statistics foundations.
CONS:
  • Prior knowledge of basic programming and basic math.
  • Homework and assignments might be challenging for those unfamiliar with the languages.
  • Actual instruction in programming in R is a bit slim here.
  • The instructors should maintain transparency in their explanations.
  • Forums and the exercise explanations are challenging.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Python
  • Google Colab
  • Basic Scripting in Python Colab Basics Embedded Systems Basics Fundamentals of TinyML Machine Learning Basics
  • Artificial intelligence Data Science Data Science with 'Python' Machine learning TinyML
PROS:
  • This course features real-world case studies, guided by industry leaders.
  • Detailed elaboration of principles of Visual Wake Words.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Prior knowledge of fundamentals of TinyML course or sufficient relevant experience.
  • Not for newbies, basic Scripting in Python and usage of Colab.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Probability Basics
  • Data Analysis Data Science Data Science with 'R' Practical Statistics
The score is based on the user experience as derived from class-central.com
Learning Experience
8
PROS:
  • Insight of two concepts that are ubiquitous - confidence intervals, and p-values.
  • You will learn about Bayesian modeling.
  • It is easy, quick, and packed with great material.
  • You get quite a good efficiency between time spent and concepts/practical knowledge learnt on the subject.
CONS:
  • Beginners should have prior knowledge of Probability.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • R
  • None Pre-requisite
  • Data Analysis Data Science Data Science with 'R' Practical Statistics
The score is based on the user experience as derived from class-central.com
Learning Experience
9.2
PROS:
  • Course forums are full of people trying to figure out how to get the code to work.
  • Videos are concise, to the point & recaps with Key Points listing.
  • Videos examples codes are extremely useful.
  • Assessments are a clear application of the lesson concepts, without bugs, and at the right complexity level.
CONS:
  • Professors need to make concrete communication as well as improve knowledge.
  • Need to focus more on execution of practical examples.
  • Improvement in basic programming concepts as well as syntax.
  • The lack of depth, and low level of difficulty.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Analysis Practical Statistics
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$99.00
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Analysis Data repositiories Data Science Data Science with 'Python' Data Science with 'R' GitHub Practical Statistics
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Data Analysis High-throughput data Practical Statistics
The score is based on the user experience as derived from class-central.com
Learning Experience
9
PROS:
  • Courses make up two Professional Certificates and are self-paced.
  • R programming examples helps make the connection between concepts and implementation.
  • The course has divided the series into seven parts, you can take the entire series or individual courses that interest you.
  • The course material is great and well structured
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Found the course difficulty to be medium.
  • More difficult than the previous two courses.
  • Discussion boards should increase transparency in communication.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Genomics High-throughput techniques
Ratings and reviews for the course on Introduction to Bioconductor. The score is based on the user experience as derived from class-central.com
Learning Experience
6.5
PROS:
  • Decent introduction to Bioconductor and course provides real education.
  • Packed with great material on par with the previous courses in the sequence.
  • These courses make up two Professional Certificates and are self-paced.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Need to take all 3 previous courses of series before taking this course.
  • The difficulty level ramps up considerably towards the end.
  • Some case studies need to be rectified.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Intermediate
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Computer programming Data Analysis Maths
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Analysis Research methodology
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • No need to have background in data science.
  • Started with absolute basics and added more elements as time went on.
  • Well-organized with clear explanations, great graphics and lots of repetition.
  • Very good to review and begin to learn about causal DAG or structural causal inference.
  • Concise teaching with case studies and packed with great material.
CONS:
  • Found the course difficulty to be medium.
  • It could be a little abstract for those without experience in the area.
  • Need more elaboration on some course topics.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Advanced
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Data Analysis Machine learning Maths
The score is based on the user experience as derived from class-central.com.
Learning Experience
7.4
PROS:
  • These courses make up two Professional Certificates and are self-paced.
  • The course material is great as well as the structure for teaching it.
  • Top content, excellent instructor and challenging assignments.
  • You can take the entire series or individual courses that interest you.
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$149.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Advanced
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Bioinformatics Data Analysis Genomics Research methodology
The score is based on the user experience as derived from class-central.com
Learning Experience
7.5
PROS:
  • The course makes up two self-paced Professional Certificates.
  • Detailed information on advanced statistical concepts such as hierarchical models.
  • Given the diversity in educational background of students they have divided the series into seven parts.
  • Minimal time investment that yields a decent introduction to RNA-seq analysis.
CONS:
  • Need more elaboration on some course topics.
  • Massive datasets generated by these studies.
  • Should increase the number of a programming exercise.
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python R Scala
  • Git Jupyter Notebook RStudio Watson Studio
  • None Pre-requisite
  • Artificial intelligence Data Analysis Data Science Data Science with 'Python' Data Visualization Practical Statistics Probability
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
8.8
Content Rating
8.7
PROS:
  • No prior knowledge of programming languages required.
  • Very well designed final assignment.
  • Good to improve your Python skills.
  • Well-structured courses.
CONS:
  • Challenging for non-statisticians.
  • Project needs some Python coding.
  • Needs to update the material since some tools have changed.
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Micorsoft Excel
  • Up-to-date browser required for programming
  • Cognos Analytics Data Analysis Data Science Data Visualization Microsoft Excel
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.4
Content Rating
9.7
PROS:
  • Final assignment gives an exact idea about Data analysis
  • Gives good ideas and examples of career paths
  • Very good for a beginner and intermediate learner
CONS:
  • Only introductory info on Cognos
  • It would also be helpful to show demos
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8.6/10

IBM AI Workflow Enterprise

  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Advanced
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Watson Studio
  • Linear Algebra Machine Learning Basics Probability Basics Python for Data Science Statistics Basics
  • Apache Spark Training Apache System Artificial intelligence Data Science Data Science with 'Python' Deep learning IBM Watson Studio Machine learning Natural language processing
This score is based on the user experience as rated by the learners
Learning Experience
8.6
PROS:
  • Very well structured course to understand whole AI workflow
  • Labs for Hands-on session are useful
  • Case studies are challenging and informative
CONS:
  • Content could be more in-depth as an 'advance' course
  • More practicality and assignment should be helpful
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Intermediate
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Jupyter Notebook Watson Studio
  • Basic Scripting in Python Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
  • Artificial intelligence Data Analysis Data Science Data Science with 'Python' Deep learning Machine learning Regression Analysis Reinforcement learning SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.3
Content Rating
9
PROS:
  • Well-structured course and easy-to-understand lectures
  • Lots of Labs to get a hands-on practice
  • Good examples to cover the major topics
CONS:
  • Required in detailed explanation on hypothesis testing
  • Need to elaborate concepts
  • Required couple of Labs for DBSCAN and Mean-Shift
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • None Pre-requisite
  • Artificial intelligence Data Analysis Data Science Data Science with 'Python' Data Visualization Predictive Modelling
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
8.9
Content Rating
9.1
PROS:
  • No need for any prior experience.
  • Focused on Python fundamentals.
  • Hands on experience with practical skills.
CONS:
  • Needs to cover some courses in detail for a better understanding
  • Needs improvement in instructional videos
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • None Pre-requisite
  • Cloud Databases Data Science Data Science with 'Python' SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.2
Content Rating
9.1
PROS:
  • Perfect introduction to data science
  • Gives you a good idea and overview of different tools
  • Step-by-step guide of how to create a data science project
  • The entire program is well structured and has good hands-on assignments.
CONS:
  • Videos need to be updated for changes to Watson Studios
  • Support from IBM on their cloud services should also be improved.
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Advanced
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Jupyter Notebook Watson Studio
  • Basic Maths Basic Scripting in Python Basic SQL
  • Apache Spark Training Apache System Big data Data Science Data Science with 'Python' Deep learning Keras Machine learning Practical Statistics Pytorch TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
8.9
Content Rating
8.5
PROS:
  • Great Introductory course for Big Data Analytics
  • Exercises and assignments have the appropriate level of difficulty
  • Interesting concepts with more math
  • Go deep in machine learning and signal processing with different datasets
  • Worthy course programs for the price offered
CONS:
  • The concepts ain't explained completely here (being advanced course)
  • The videos need to be updated
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Basic Scripting in Python Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
  • Artificial intelligence Data Analysis Feature Engineering Machine learning Practical Statistics Regression Analysis SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.5
Content Rating
9
PROS:
  • Well-structured course with easy-to-understand
  • Thorough walkthrough to the code
  • Detailed explanation on each and every aspect of the classification
  • Lots of Labs to get a hands-on practice
CONS:
  • Need more material and direction for assignments
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$39.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • None Pre-requisite
  • Application Programming Interfaces (API) Artificial intelligence Building AI Chatbots Data Science Deep learning IBM Watson Studio Natural language processing
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.3
Content Rating
9.5
PROS:
  • Excellent program for beginners
  • Get familiar and know more about Watson services
  • Informative content throughout, logically laid out and well presented
CONS:
  • Need more detailed view of IBM Cloud platform
  • Need more exercises on tools of IBM Watson
  • Course content needs to be updated to the latest changes
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$39.00
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 1+ Years
  • Paid Course (Paid certificate)
  • English
  • Jupyter Notebook Micorsoft Excel
  • Python
  • Basic Computer Literacy High School Level Maths Up-to-date browser required for programming
  • Artificial intelligence Cognos Analytics Data Analysis Data Science with 'Python' Data Visualization Microsoft Excel Spreadsheet SQL
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.4
Content Rating
9.5
PROS:
  • Great Introductory course to start your career in Data analytics
  • Good overview of how Python can be used for data science
  • Syllabus of the course takes you in a roller-coaster ride from basic level to advance level
CONS:
  • More exercises related to Pandas and Numpy would be good for practice
  • The course needs to be updated with the latest UI of IBM Watson
  • Final assignment on Cognos Analytics is difficult
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$39.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Watson Studio
  • None Pre-requisite
  • Artificial intelligence Business AI Data Architecture Data Science Deep learning IBM Watson Studio Leadership Machine learning
The score is based on the quality of the course content & user experience as rated by the learners
Learning Experience
9.4
Content Rating
9.6
PROS:
  • Great way to start your way in the AI world
  • Practicle understanding to deploy AI in business enterprises
  • Fascinating introduction to IBM Watson
CONS:
  • Some of the videos are monotonous
  • Courses are much introductiory
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$79.00
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  • Coursera
  • IBM
  • Online Course
  • Self-paced
  • Advanced
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Python
  • Apache Spark Training Apache System Machine learning Signal processing
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9
Content Rating
8.3
PROS:
  • Career changer course, giving you hands-on experience.
  • Learn theory behind signal processing
  • Good course content and nice visualization
CONS:
  • Audio quality of guest lectures needs improvement
  • As the course level is advanced, comparatively coding assignments are much easy.
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$1,499.00
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  • Edureka
  • Masters program
  • Instructor-led
  • All levels
  • Paid Course (Paid certificate)
  • English
  • Power BI Tableau
  • None Pre-requisite
  • Data Analysis Data Mining Data Science Data Visualization Informatica Power BI Tableau Teradata
The score is based on the user experience as rated by the learners.
Learning Experience
8.4
PROS:
  • Well structured curriculum
  • Includes top five skills in business intelligence
  • Customer centered applied project
CONS:
  • Not enough reviews
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  • Edureka
  • Masters program
  • Instructor-led
  • All levels
  • Paid Course (Paid certificate)
  • English
  • Python
  • Apache Spark
  • Basic SQL
  • Apache Spark Training Data Science with 'Python' Deep learning Machine learning Natural language processing Reinforcement learning TensorFlow
The score is based on the user experience as rated by the learners.
Learning Experience
9
PROS:
  • This course will give you an edge over other competing candidates for job
  • Course covers almost all corners of the data science and machine learning
CONS:
  • Not enough reviews
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$1,499.00
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  • Edureka
  • Masters program
  • Instructor-led Self-paced
  • All levels
  • Paid Course (Paid certificate)
  • English
  • Java Python Scala
  • Apache Cassandra Apache Hadoop Apache Kafka Apache Spark Talend Open Studio
  • Apache Cassandra Training Apache Hadoop Training Apache Kafka Training Apache Spark Training Big data Data Science Machine learning Scala Talend
The score is based on the user experience as rated by the learners.
Learning Experience
8.8
PROS:
  • Well designed curriculum
  • Covers important aspects to master Big Data
CONS:
  • Not enough reviews
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$1,099.00
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  • Edureka
  • Masters program
  • Instructor-led Self-paced
  • All levels
  • Paid Course (Paid certificate)
  • English
  • Python
  • Chef Docker Git Jenkins Nagios Puppet
  • Data Engineering Data Science DevOps Linux Splunk
The score is based on the user experience as rated by the learners.
Learning Experience
9
PROS:
  • Hands on experience with industry experts
  • You can gain end-to-end skills in DevOps
  • Quora review: Course has everything to make you DevOps professional
  • Quora review: Very comprehensive, syllabus conforming standards required by IT industry
CONS:
  • Quora review: Expensive program
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$1,099.00
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Best deal at: Edureka
  • Edureka
  • Masters program
  • Instructor-led Self-paced
  • All levels
  • Paid Course (Paid certificate)
  • English
  • Python
  • Ansible Docker Git Grafana Jenkins Kubernetes Prometheus Terraform
  • AWS Cloud computing Data Science Data Science with 'Python' DevOps
The score is based on the user experience as rated by the learners.
Learning Experience
8.8
PROS:
  • User with minimal IT experience found this course valuable
  • Course begins with basics in Python and fundamentals of cloud computing
  • Program curriculum is well designed
CONS:
  • No user feed back / reviews for this program
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  • Codecademy
  • Online Course
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • R
  • None Pre-requisite
  • Data Cleaning Data Science Data Science with 'R' Data Visualization Practical Statistics Regression Analysis
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  • Codecademy
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Jupyter Notebook
  • None Pre-requisite
  • Data Analysis Data Manipulation Data Science Data Science with 'Python' Data Visualization Practical Statistics
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  • Codecademy
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • None Pre-requisite
  • Data Analysis Data Manipulation Data Science Data Science with 'Python' Data Visualization Data Wrangling Deep learning Natural language processing SQL for Data Science
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  • Simplilearn
  • IBM
  • Masters program
  • Instructor-led
  • Advanced
  • Paid Course (Paid certificate)
  • English
  • Python R Scala
  • Apache Spark
  • Basic Maths Basic Scripting in Python Basic Scripting in R Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
  • Artificial intelligence Data Science Data Science with 'Python' Deep learning Keras Machine learning Natural language processing TensorFlow
The score is based on the user experience rated by the learners.
Learning Experience
9.4
PROS:
  • Online self-learning videos & trainers assistance with their enriched knowledge helps you understand the content easily.
  • All the courses are well structured with self-learning, live classes, and assessment.
  • Excellent industry-related projects and will help you to put into practice what you learned in the class.
CONS:
  • Should have basic knowledge of mathematics.
  • Need to be familiar with the fundamentals of Python programming.
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  • Simplilearn
  • IBM
  • Masters program
  • Instructor-led Self-paced
  • Advanced
  • Paid Course (Paid certificate)
  • English
  • Data Analysis Data Science with 'Python' Data Science with 'R' Power BI Tableau
The score is based on the user experience rated by the learners.
Learning Experience
9.8
PROS:
  • Beginners are welcome to this course.
  • The courses are very well designed and the live classes have personal attention in terms resolving the doubts.
  • Very informative and concise information provided on Statistics.
CONS:
  • Requires a foundation in statistics and mathematics.
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  • Simplilearn
  • IBM
  • Masters program
  • Instructor-led
  • Advanced
  • Paid Course (Paid certificate)
  • English
  • Python R Scala
  • Apache Hadoop Apache Spark
  • Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
  • Apache Hadoop Training Apache Spark Training Big data Data Science Data Science with 'Python' Data Science with 'R' Deep learning Keras Machine learning SQL for Data Science Tableau TensorFlow
The score is based on the user experience rated by the learners.
Learning Experience
9.4
PROS:
  • Well-structured and excited material provided throughout the course.
  • The animation in the lectures is very helpful and useful.
  • Hands-on projects will assist you to clarify your all queries.
  • Provided real-time scenarios with examples that will help you understand concepts better.
CONS:
  • One should have basic knowledge of statistics and basic understanding of any programming language.
  • Very lengthy elementary content.
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$300.00
  • EDX
  • Massachusetts Institute of Technology
  • Online Course
  • Self-paced
  • Advanced
  • 3+ Months
  • Free Course (Affordable Certificate)
  • English
  • Python
  • Intermediate Calculus Intermediate Probability Intermediate Vectors and Matrices Proficiency in Python
  • Data Analysis Data Science Data Science with 'Python' Deep learning Machine learning Natural language processing Reinforcement learning
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$1,500.00
Buy Now
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  • EDX
  • Massachusetts Institute of Technology
  • Microdegree
  • Instructor-led
  • Advanced
  • 1+ Years
  • Paid Course (Paid certificate)
  • English
  • Python
  • Comfort with Mathematical Reasoning Intermediate Calculus Intermediate Probability Intermediate Vectors and Matrices Proficiency in Python
  • Big data Data Analysis Data Science Deep learning Machine learning Practical Statistics Probability
Best seller
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$1,400.00
Buy Now
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  • EDX
  • University of California, San Diego
  • Microdegree
  • Self-paced
  • Advanced
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Apache Spark Jupyter Notebook
  • Intermediate Calculus Linear Algebra Previous Programming Experience
  • Apache Spark Training Big data Data Science Data Science with 'Python' Machine learning Practical Statistics Probability
Learning Experience
9.2
PROS:
  • You will learn the basics of Python for data science and how to use arrays, series and data frames.
  • Build your confidence and basic knowledge to pursue more complex projects.
CONS:
  • Interaction with instructors can be slow and limited.
  • Jupyter section is UNIX heavy and can be troubling to perform on Windows machines.
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$991.00
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  • EDX
  • Harvard University
  • Professional Certificate
  • Self-paced
  • Beginner
  • 1+ Years
  • Paid Course (Paid certificate)
  • English
  • R
  • Git RStudio
  • Probability Basics Up-to-date browser required for programming
  • Data Analysis Data Science Data Science with 'R' Data Visualization Data Wrangling Machine learning Practical Statistics Probability Regression Analysis
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$350.00
Buy Now
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  • EDX
  • University of California, San Diego
  • Online Course
  • Self-paced
  • Advanced
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Analysis Data Science Data Science with 'Python'
Best seller
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$39.00
Buy Now
Best deal at: edX (Global)
  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python R Scala
  • Git Jupyter Notebook RStudio Watson Studio
  • None Pre-requisite
  • Artificial intelligence Cloud Databases Data Analysis Data Science Data Science with 'Python' Data Visualization Machine learning Predictive Modelling SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
9.2
Content Rating
9.1
PROS:
  • The course module has been designed especially for beginners to understand the basics of Data Science.
  • Hands-on projects will help you to clear your technical concepts.
  • Course provides detail and clear information about Pandas, Numpy, statistical and data analysis.
CONS:
  • Users expect more exercise involving the tools of data science methodology.
  • Should have prior knowledge of calculus and linear algebra.
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$49.00
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Intermediate
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Basic Scripting in Python High School Level Maths
  • Apache Spark Training Artificial intelligence Data Engineering Data Science Data Science with 'Python' Deep learning Keras Machine learning Pytorch TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners.
Learning Experience
8.8
Content Rating
8.8
PROS:
  • Useful information on an introduction to Deep Learning and Neural Networks with Keras.
  • Demonstration of an understanding of supervised deep learning.
  • You can apply your AI and Neural Network skills to a real-world challenge also can demonstrate your ability to communicate project outcomes.
CONS:
  • Need to improve the content on Scalable Machine Learning and on Big Data using Apache Spark.
  • Lengthy elementary content.
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$1,099.00
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  • Edureka
  • Masters program
  • Instructor-led Self-paced
  • Advanced
  • Paid Course (Paid certificate)
  • English
  • R
  • Power BI RStudio Tableau
  • Data Analysis Data Manipulation Data Mining Data Science with 'R' Data Visualization Power BI Practical Statistics Regression Analysis SAS Tableau
The score is based on the user experience, rated by the learners
Learning Experience
9
PROS:
  • Upon enrolling in the course, one can start with his convenience.
  • Personal learning managers will assist you to clear your queries.
  • You can always switch to another batch, depending upon your availability.
CONS:
  • Masters Program is designed and developed only to accommodate various professional backgrounds.
  • Need to improve the content on Essentials for Analytics.

Epidemiology (2)

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$69.00
  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Beginner
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Epidemics
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • An interesting short course that explores how John Snow deduced that cholera was a water-borne disease in 1850s London.
  • A very good approach with several perspectives and concepts.
  • Videos and readings are well-put-together.
  • Additional resources provided lots of other information on the subject that can help you in research.
CONS:
  • Found the course difficulty to be easy.
  • Certain videos are quite long, however, and could have been easily split into separate sections rather than kept as a whole.
  • Need more elaboration on some course topics.
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Health and Society Health Research Neurology
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • Very informative and well-structured course.
  • Good quality of video material helps you to clear concepts.

Health & Safety (5)

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$99.00
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Disaster management Healthcare
Ratings and reviews for the course on Humanitarian Response to Conflict and Disaster are based on the user experience as derived from class-central.com and coursetalk.com.
Learning Experience
9.6
PROS:
  • Well-organized course with a quick technical and theoretical review.
  • In depth practical analysis of real world scenarios.
  • Explores the ethical and professional principles that guide humanitarian response to conflict and disaster.
  • Through four case studies you will have better insight of the course.
CONS:
  • Very lengthy preliminary content.
  • Need more elaboration on some course topics.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Global health Health Research
The score is based on the user experience as derived from class-central.com
Learning Experience
9.6
PROS:
  • A very concise introduction to mechanical ventilation.
  • Complementing video-watching with notes and further reading is highly recommended.
  • The course & video presentation are very useful and excellent presentation.
  • Very good review of the basics and Information and Covid 19.
  • Vent settings and wave form information are very informational.
  • This course will help prepare licensed non-ICU hospital clinicians to assist in the operation of a ventilator.
CONS:
  • Prior knowledge of basic simple practical on ventilation & basics ventilation theory.
  • It is intended for licensed medical professionals.
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Global health Health and Society Healthcare
The score is based on the user experience as derived from class-central.com
Learning Experience
9.9
PROS:
  • Learners will hear from leading experts as they engage with current issues and challenges in global health.
  • Examine the global response to diseases, such as the developing Zika outbreak.
  • The backbone of this learning experience is a set of 18 reviews, co-edited by David Hunter and Harvey Fineberg.
  • Chance of engaging with the content and one another through assessments and discussion questions.
CONS:
  • Very lengthy preliminary content.
  • Need more elaboration on some topics.
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$79.00
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Global health Health and Society Healthcare
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$99.00
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Best deal at: edX (Global)
  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Health and Society Health Research Neurology
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • Very informative and well-structured course.
  • Good quality of video material helps you to clear concepts.

Humanities (52)

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$149.00
  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Culture Egyptian history History
The score is based on the user experience as derived from class-central.com
Learning Experience
9.8
PROS:
  • Additional source readings from scholarly publications which is especially enriching.
  • This course provides real education with great packed material.
  • The Professor's concise teaching of the main concepts gives you better insight.
  • Allows you to visualize some of what has been lost.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Course difficulty has been considered to be very hard.
  • Need more elaboration on some course topics.
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$100.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Ancient languages Books and Manuscripts Culture History Japanese history
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Beginner
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • Culture History Philosophy Religion
The score is based on the user experience as derived from class-central.com
Learning Experience
8
PROS:
  • Lessons are clear, simple and direct.
  • Exceptionally reasonable course with valuable and well-organized content.
  • Very good information, videos, and commentary.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Need to maintain consistency in course material.
  • Should have focused on factual information.
  • Some lessons are verbose, overly complex, and esoteric.
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9.6/10

ChinaX: China and Communism

  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Course (Affordable Certificate)
  • English
  • Chinese history Culture History Politics
The score is based on the user experience as derived from class-central.com
Learning Experience
9.6
PROS:
  • Extremely interesting and very thought provoking along with great course material.
  • The instructor's concise teaching of the main concepts gives you better insight.
  • Informative on the cultural, intellectual, political, and economic changes in this period.
CONS:
  • Extremely interesting and very thought provoking along with great course material.
  • The instructor's concise teaching of the main concepts gives you better insight.
  • Informative on the cultural, intellectual, political, and economic changes in this period.
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Instructor-led
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Chinese history History
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Course (Affordable Certificate)
  • English
  • Chinese history Culture History Religion
The score is based on the user experience as derived from class-central.com
Learning Experience
9.6
PROS:
  • A well-structured course gives a greatly enhanced understanding of modern China.
  • Detailed information on all topics gives you clear insight.
  • Notes and course assessments make your practice concrete.
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$99.00
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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-4 Weeks
  • Free Course (Affordable Certificate)
  • English
  • History Philosophy Religion
The score is based on the user experience as derived from class-central.com
Learning Experience
8
PROS:
  • Vivid illustration of information, videos, and commentary.
  • The course familiarized one to basic information about the Bible.
  • Official and verified, easily shareable course completion certificate available.
CONS:
  • Not the strongest of the series.
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