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- Coursera
- Lund University
- Online Course
- Self-paced
- Beginner
- 1-4 Weeks
- Free Course (Affordable Certificate)
- English
- Arguments Editing and proofreading Personal development Writing
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
- 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.
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
- Python
- Basic Scripting in Python Fundamentals of calculus Machine Learning Basics Probability Basics
- Artificial intelligence Data Science with 'Python' Feature Engineering Machine learning Reinforcement 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
- Python
- Jupyter Notebook
- None Pre-requisite
- Data Analysis Data Manipulation Data Science Data Science with 'Python' Data Visualization Practical Statistics
- 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
- 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
- Python
- Jupyter Notebook
- Basic Maths Basic Scripting in Python Basic SQL Data Visualization Data Wrangling Fundamentals of calculus Linear Algebra Machine Learning Basics Probability Basics Statistics Basics
- Apache Spark Training Data Engineering Data Science Data Visualization Machine learning Natural language processing Software Engineering for Data Science
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
- Python
- Micorsoft Excel Tableau
- None Pre-requisite
- Big data Data Analysis Data Science Data Science with 'Python' Deep learning Machine learning Practical Statistics Probability 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
- Beginner
- Paid Course (Paid certificate)
- English
- None Pre-requisite
- Data Analysis Data Science Machine learning Practical Statistics Probability
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
Enroll
LIMITED25
- 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