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- Coursera
- Lund University
- Online Course
- Self-paced
- Beginner
- 1-4 Weeks
- Free Course (With Certificate)
- English
- Personal development
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Good course with comprehensive lessons
- Necessary for improving academic writing
- Get an idea on presenting research paper
- Essential for preparing for next education development
CONS:
- Needs more exercises and quizes
- Basic course, expecting practicing critical writing
$29.99
- Udemy
- Lazy Programmer Team Inc.
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Science with 'Python' Deep learning TensorFlow
The score is based on the learner ratings/experience, at Udemy.
PROS:
- Covers a wide-range of advanced reinforcement learning topics.
- Excellent and advanced topics.
- Good details and manual coding.
- Concise details about each algorithms.
CONS:
- Should have more explanation on the theory.
- Need to improve coding lectures.
$79.00
- Coursera
- IBM
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Apache System Machine learning Signal processing Spark
The score is based on the quality of the course content & user experience as rated by the learners.
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.
$199.99
- Udemy
- Lazy Programmer Team Inc.
- Online Course
- Self-paced
- Intermediate
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Science with 'Python' Machine learning
The score is based on the user experience, rated by the learners
PROS:
- Excellent veteran instructor’s explanation and teaching process.
- All math is thoroughly explained and ambiguities clarified.
- It will absolutely clear your theory and math concept.
CONS:
- Should give focus on more use of animations and visual learning.
- Need improvement in balance between theory of RL and practical’s.
- Codecademy
- Online Course
- Self-paced
- Beginner
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Data Science Data Science with 'R'
- Codecademy
- Online Course
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Data Science Data Science with 'R'
- Simplilearn
- Online Course
- Self-paced
- Beginner
- Less Than 24 Hours
- Paid Course (Paid certificate)
- English
- Artificial intelligence Deep learning Machine learning
The score is based on the user experience, rated by the learners.
PROS:
- No need to have any programming or IT background.
- Designed in a systematic manner.
- Courses are well structured with self-learning, live classes, and assessments.
CONS:
- Lengthy preliminary content
- It should have detail practical information.
- Udacity
- Bertelsmann Figure eight an appen co. IBM Insight Kaggle Starbucks
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Data Engineering Data Science Machine learning Natural language processing Spark
The score is based on the user experience, rated by the learners.
PROS:
- Program is comprehensive with all the required data.
- Transparent explanations and the exercises helps a lot to understand the content.
- Commencement with fundamental algorithm(math) before you implement it.
CONS:
- Need to add more related lessons for each algorithm.
- You should be familiar with SQL programming and statistics.
- Hands-on with wrangling and visualizing data.
Best seller
- Udemy
- 365 Careers
- Online Course
- Self-paced
- All levels
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science Data Science with 'Python' Deep learning TensorFlow
The score is based on the user experience, rated by the learners
PROS:
- Jam-packed with a good balance of technical and practical information.
- Extremely eye-catching design and presentation. The way content is delivered on the screen is very attractive.
- The exercises are very informative, exhaustive and detailed.
- One can commence without any prior programming experience.
- Realistic approach, balanced theories and practice.
CONS:
- Need to expand details on other classifiers such as knn, SVMs and decision trees.
- Need to add basic mathematics calculus.
- Lengthy content on topics such as probability and stats.
$119.00
- Edureka
- Online Course
- Self-paced
- Intermediate
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science
The score is based on the user experience, rated by the learners
PROS:
- Well presented module with good pace.
- Overall course material, description and homework will let you gain expertise in this domain.
- Constant updation on courses with 24X7 support with instant response from faculties.
CONS:
- Need to update more information on topics such as Statistical Inference.
- Simplilearn
- Online Course
- Self-paced
- Beginner
- Less Than 24 Hours
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science Machine learning
The score is based on the user experience, rated by the learners.
PROS:
- Introductory and interactive course with highly talented trainers.
- Well organized and explanatory information provided.
- As this course has very clear and concise content, Virtually seems effortless to understand.
CONS:
- Very basic information
- Lengthy preliminary content
$389.00
- Edureka
- Online Course
- Instructor-led
- All levels
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science with 'R' Machine learning Natural language processing
The score is based on the user experience, rated by the learners
PROS:
- Well-structured programs and project submissions.
- Good overview and insight on the real world application.
- Interactive training method and interesting content.
CONS:
- This course needs to have in-depth exercises.
- Need more description for the topics- Linear regression & data mining
$99.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Beginner
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- Data Science Machine learning
From classcentral.com
PROS:
- Good course with popular data science methodologies
- You will learn about training data, and use a set of data to discover potentially predictive relationships
CONS:
- Need to improve assignments
- Some important algos not included in the Course content (SVM, Boosting)
$99.00
- EDX
- Beginner
- 1-4 Weeks
- Online Course
- Free Course (Affordable Certificate)
- Data Science
- Harvard University
- English
$49.00
- Coursera
- NRU Higher School of Economics
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Good and easy explanations on validation and metrics.
- Excellent framework for additional applications of projects.
- Chock full of practical information that is presented clearly and concisely.
- Packed with full of tips and tricks and techniques that are well explained and very useful for data science.
CONS:
- There are some pretty advanced tricks.
- Need to improve content on introductory-level material.
- Bit complex for those who do not have a good knowledge base on the subject of Machine learning.
- Skillshare
- Sundog Education
- Online Course
- Beginner
- Less Than 24 Hours
- Free Trial (Paid Course & Certificate)
- English
- Data Science Data Science with 'Python' Machine learning Spark
The score is based on the user experience, rated by the learners.
PROS:
- One can start without any programming background.
- Concise implementation of basic algorithms.
- Very informative lessons on regression & Reinforcement.
CONS:
- This course needs to have in-depth exercises.
- Need more description on models (Specifically hyperparameters).