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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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$79.00
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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$49.00
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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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$49.00
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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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$39.00
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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.
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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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  • 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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  • 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
  • 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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  • 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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  • 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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$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
  • 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
  • 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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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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$39.00
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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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$39.00
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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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$39.00
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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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  • 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
  • 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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  • 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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  • 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
  • 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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