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$49.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Apache System Big data Data Science Data Science with 'Python' Deep learning Keras Machine learning Pytorch Spark TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners.
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
$49.00
- Coursera
- NRU Higher School of Economics
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Data Science Deep learning Machine learning Natural language processing TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- In terms of quality of the material this course will absolutely meet your requirements.
- One with graduate level math skills can also commence with this course.
- Assignments are good for getting to know python tools.
CONS:
- Need to improve the quality of content in Bayesian methods for machine learning course.
- Require quite a bit of probability theory knowledge.
- The teachers should put more time into explaining the models and their details.
- Udacity
- Microdegree
- Self-paced
- Beginner
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Data Science with 'Python' Deep learning Pytorch
The score is based on the user experience, rated by the learners.
PROS:
- Excellent course for learning the fundamentals of AI.
- As compared to other training programs it is clear and meaningful.
- Concise and beginner friendly course material provided.
- Math concepts explanations are awesome.
CONS:
- Lesson on matplotib and seaborn needs more explanation.
- Very lengthy elementary content.
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Science Data Science with 'Python'
The score is based on the quality of the course content & user experience as rated by the learners.
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
$49.00
- Coursera
- University of Michigan
- Microdegree
- Self-paced
- Intermediate
- 3+ Months
- Paid Course (Paid certificate)
- English
- Data Science 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.
PROS:
- Programming assignments are packed with coding questions that will help you revise what you have learned.
- Overall you will find good introduction to python for data science.
- Content covered in this specialization program would definitely meet your expectations for learning Data science with Python.
CONS:
- The video content is too general and has little connection with assignment.
- Need to put efforts into designing a curriculum.
Best seller
- Udacity
- Kaggle Mode
- Microdegree
- Self-paced
- Intermediate
- 3+ Months
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science with 'Python'
The score is based on the user experience, rated by the learners.
PROS:
- Informative content as well as format of the video materials.
- Provides high quality lectures with many real industry cases plus tons of hands-on projects.
- The lectures and short exercises are well arranged.
CONS:
- One must have glimpses of Python standard libraries.
- Need some working experience with Pandas and NumPy.
- Need to reduce complexity of the course.
- 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.
- Udacity
- Amazon Web Services Kaggle
- Microdegree
- Self-paced
- Advanced
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Data Engineering Data Science with 'Python' Deep learning Machine learning Natural language processing
The score is based on the user experience, rated by the learners
PROS:
- Well organized instructions with concrete and familiar examples.
- Projects and reviewers will give you precious feedback.
- Unique, well-paced and well-structured content.
CONS:
- Should have deeper dive into machine learning algorithms.
- You need to be familiar with programming libraries like Numpy & pandas.
$39.00
- 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.
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.
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Cognos Data Analysis Excel
The score is based on the quality of the course content & user experience as rated by the learners
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
- Udacity
- Insight
- Microdegree
- Self-paced
- Intermediate
- 3+ Months
- Paid Course (Paid certificate)
- English
- Data Engineering Data Science Spark
The score is based on the user experience, rated by the learners.
PROS:
- Clarity on explanation, all the tasks and demos.
- Projects are challenging and useful.
- The course content explains both the theory and practicalities of each technology in an easy-to-understand manner.
- The lessons are well-organized and highly informative.
- Real world projects and feedback is extremely helpful.
CONS:
- Expectation to have a bit improvement in instructor’s presentation skill.
- Need to be familiar with basic programming libraries.
$49.00
- 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.
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.
- Codecademy
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Data Science Data Science with 'Python' Machine learning Natural language processing
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Analysis Data Science Data Science with 'Python'
The score is based on the quality of the course content & user experience as rated by the learners.
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.
Best seller
$1,400.00
- EDX
- University of California, San Diego
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Big data Data Science Data Science with 'Python' Machine learning Probability Spark Statistics
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.
- 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
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