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$49.00
- 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.
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
- Python
- Linear Algebra Machine Learning Basics Probability Basics Proficiency in Python
- Data Analysis Data Science Deep learning Feature Engineering Machine learning Natural language processing Neural Networks 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
- Python
- Jupyter Notebook
- Basic Computer Literacy Linear Algebra Previous Programming Experience
- Artificial intelligence Calculus Essentials Data Science with 'Python' Deep learning Linear Algebra Essentials Neural Networks 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
- 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.
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
- Python
- Basic Scripting in Python
- Data Analysis Data Cleaning Data Manipulation Data Mining Data Science Data Science with 'Python' Data Visualization 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
- Python
- Basic Scripting in Python Basic SQL
- Data Analysis Data Science with 'Python' Data Visualization Data Wrangling Practical Statistics
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
- 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.
- Udacity
- Amazon Web Services Kaggle
- Microdegree
- Self-paced
- Advanced
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Python
- Intermediate Machine Learning Proficiency in Python
- Data Engineering Data Science with 'Python' Deep learning Machine learning Natural language processing Software Engineering for Data Science
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
- 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
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
- Python
- Intermediate SQL Linear Algebra Proficiency in Python
- Apache Cassandra Training Apache Spark Training AWS Cloud Databases Data Engineering Data Science
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.