6 Best Python Data Science Courses [2021 DECEMBER][UPDATED]

Best Python Data Science course tutorial class certification training online

Our team of global experts compiled this list of Best Python and Data Courses, Classes, Tutorials, Training, and Certification program available online for 2021. This list includes both paid and free courses to help you learn Python and Data Science together. Also, this list is ideal for beginners, intermediates, as well as experts.


6 Best Python Data Science Courses, Certification, Training and Tutorial Online [2021 DECEMBER]

1. Python for Data Science (Coursera)

Offered by IBM, this Python for Data Science course is the best choice for you to kick start your career in Python and Data Science. This course will introduce you to python for data science as well as a programming language in general. It consists of four modules, which includes Python Basics, Python Data Structures, Python Programming Fundamentals, and Working with Data in Python. After finishing these modules, you’ll be assigned a project to test your knowledge and skills. Also, this course is a part of multiple specializations, so completing this course will prepare to take the specialization in Python and Data Science. You may also want to check out our compilation of Python Certification.


Key USPs –

– One of the best Python and Data Science course available online for all types of individuals

– Guide you to basic Python programming language as well as advanced your skills in Data Science using Python

– Beginner-friendly course with multiple videos and practice exercises to enroll you better with the course content

– Learn about expression, variables, lists, tuples, conditions, branching, objects, and classes

– Get assistance and help from experienced and professional instructors regarding the course content

– Earn a certification of completion after completing the course and get your first step toward success


Duration: 10 hours

Rating: 4.6 out of 5

You can Sign up Here


Review: Every course has offered something interesting, challenging, and surprising. I am glad I have spent the time with this class. I would strongly recommend it to others with an interest in data science. – WL



2. Python for Data Science and Machine Learning Bootcamp (Udemy)

This comprehensive Python with Data Science course will work as a guide for you to teach you how to utilize the power of Python for analyzing the data, creating beautiful visualizations, and using powerful machine learning algorithms. In this course, you’ll cover multiple topics, such as programming with Python, Connect Python to SQL, Numpy with Python, Linear Regression, and much more. Also, after finishing the course, you’ll receive a certification of completion from Udemy.


Key USPs –

– An amazing course to start with your Python programming skills and learn Data Science

– Learn how to use Python for Data Science and Machine Learning, and how to implement Machine Learning Algorithms

– Get guidance and assistance from one of the top instructors of Udemy

– Avail multiple exercises, video lectures, and hands-on projects to enhance your skills

– Know about Data Science topics like Logistic Regression, Linear Regression, Neural Networks, Numpy, and many more in detail


Duration: 23-24 hours, 4-5 hours/week

Rating: 4.6 out of 5

You can Sign up Here


Review: I’m a slow learner. I really appreciate how Jose breaks down the instruction intro to the subject, show how it’s done, repeat with exercise to reinforce the knowledge. Each section of the course can be used as reference which I am sure I will repeat viewing in the future. – Sovanna Chuon



3. Python A-Z™: Python for Data Science (Udemy)

Udemy is the leading online provider of Python courses, and this Python for Data Science course is amongst one of the best courses available online. In this course, you’ll learn how to start with programming in python, core principles of programming, and many other things. The instructor, Kirill Eremenko, is a Data Science management consultant who was trained by analytics mentors at Deloitte Australia. Today, he provides training to more than one lakh students at a time in Python for Data Science. What makes this course more unique than others is its step-by-step training of every tutorial in the course. After finishing the course, you’ll not only get immense knowledge of Python in Data Science, but you’ll be able to implement real-life scenarios.


Key USPs –

– Learn and understand the core principals of programming and how to code in Jupiter Notebooks

– Know about integer, float, logical, string, and other types in Python

– Learn how to create a while() loop and a for() loop in Python

– Learn a new variable concept after every video that can be applied right away

– Packed with real-life analytical challenges that will help you solve analytical problems

– Earn a Certificate of Completion after finishing the course


Duration: 11-12 hours, 2-3 hours/week

Rating: 4.6 out of 5

You can Sign up Here


Review: Amazing course, challenging, and at the same time I was able to keep up with it, great didactic! – Gabriel Lopes Silva



4. Programming for Data Science with Python Nanodegree Program (Udacity)

Created in collaboration with MODE, this comprehensive program is designed to teach you the programming fundamentals of Python required for a successful career in data science. In this syllabus, you’ll learn the fundamentals concepts of SQL, such as JOINs, Subqueries, Aggregations, and more. You’ll also learn how to use SQL to answer complex business problems with the help of Python and SQL. The curriculum is included with real-world projects, technical mentor support, and career services from industry experts to help you make a successful career in the data science field. After ending the program, you’ll earn a completion badge to share with your LinkedIn profile and resume.


Key USPs – 

– Learn the essential concepts of Python  programming, such as data structures, loops, functions, and variables, and how to work with libraries like NumPy and Pandas

– Learn to use Python  programming, SQL, Command line, and Git concepts to solve complex business problems

– Included with high-quality video lectures, graded quizzes, practical assignments, and other essential study material to improve your knowledge

– Get continuous technical support from a team of experts who will stay in touch with you throughout the classes


Duration: 3 months, 10 hours/week

Rating: 4.8 out of 5

You can Sign up Here


Review: I really like it and think things are very well explained. The exercises on each chapter make you identify clearly the things you got clearly and the ones you didn’t, making you revise and understand everything. The classes are not long, so they don’t get boring, and the text highlighting the most important points under the videos are really helpful. – Isabel C.



5. Applied Data Science with Python (University of Michigan)

University of MichiganThis Python and Data Science specialization offered by the University of Michigan consists of five different courses that will introduce you to data science through the Python programming language. In this specialization, you’ll learn about the basics of the Python programming environment, Data science in Python, Charting & Data Representation in Python, and Applied Machine Learning in Python. It is a skill-based specialization designed for intermediate learners who want to apply statistical, machine learning, text analysis and social network analysis techniques via popular python toolkits – such as pandas, nltk, and scikit-learn. We also have a compilation of some of the best Data Science Certification for you to choose from.


Key USPs –

– Master your skills in Data Science through Python programming with this specialization

– Learn how to analyze the connectivity of a social network, and how to conduct an inferential statistical analysis

– Gain new insights into the data and learn how to apply data science methods and techniques

– Enhance your data analysis skills with applied machine learning concepts

– Get hands-on projects to enhance your skills and successfully finish you specialization

– Earn a certification of completion on completing the hands-on projects


Duration: 5 months, 7 hours/week

Rating: 4.5 out of 5

You can Sign up Here



6. Introduction to Python for Data Science (Datacamp)

If you want to master the basics of data analysis in Python and expand your skill set by learning scientific computing with numpy, then this Python course from Datacamp will be a great choice. Unlike other Python courses, this course is specifically designed to teach students how to use and implement Python for Data science. In this course, you’ll learn robust techniques for storing and manipulating data as well as cool data science tools to begin your own analyses. It contains four different chapters – Python Basics, Python Lists, Functions and Packages, and Numpy. All these chapters will teach you different concepts of Python for Data Science. Also, after completing the course, you’ll get a certification of completion by Datacamp.


Key USPs –

– An interactive course that is specifically designed to help students learn Python for Data Science

– Learn how to use Python both interactively and through a script to create your first variables

– Understand how to store, access, and manipulate data in lists that will later help you work with huge amounts of data

– Know about Numpy Python package and how to work with Numpy array that is a strong alternative to the list

– Contains 57 exercises with 11 videos to help you understand the course content deeply


Duration: 4 hours

Rating: 4.5 out of 5

You can Sign up Here



7. Python Data Science Certification Program (IBM)

This course has been discontinued

If you want to launch your career in Python and Data Science together, then this certification program offered by edX is ideal for you. This certification program includes five courses that will prepare you for a career in Data Science and Machine learning. It will start by teaching you Python, that is the most popular language for Data Science, and then develop your skills in Data Analysis and Data Visualization. This certification program is offered by expert instructors of edX, who focus on improving your knowledge by providing hands-on exercises. Even if you’re new to the job market, this certification program will help you land your dream job. If Machine Learning’s on your mind, do check out our list of best Machine Learning Course.


Key USPs –

– Learn Python language from the beginning to understand its basics and how to apply it to Data Science

– Create stunning data visualizations with matplotib, folium, and seaborn

– Understand how to analyze data using Python pandas and numpy libraries

– Practice iterative data science using Jupyter notebooks on IBM cloud

– Self-paced program with expert instruction from industry professionals

– Earn a certification of completion after finishing every course


Duration: 2-4 months

Rating: 4.6 out of 5

You can Sign up Here



8. Python for Data Science (Emeritus)

This course has been discontinued

If you have no prior experience in Python programming and want to master it for data science, then this course from Emeritus is the best choice for you. This course is designed in collaboration with DataCamp to help you learn how to use Python for data analysis and insight generation. It includes more than 124 recorded video lectures and eight live online teaching sessions, which means if you are unable to attend the live sessions, you can learn from the recorded videos. Moreover, you will also receive two career guidance sessions from the instructors who will help you choose the right career after learning python programming.


Key USPs –

– Get introduced to the basics of Python, such as variables and types, subsetting lists, manipulating lists, functions, methods, NumPy, and many more

– Learn about basic plots with Matplotlib, Histograms, Dictionaries, Boolean Operators, While Loop and Four Loop, and Distribution

– Understand how to manipulate data with Pandas using various data frames, such as Indexing, slicing, filtering, and pivoting data frames

–  Learn how to visualize data with Python using plotting multiple graphs, customizing axes, working with 2D arrays and visual regression

– Get certified in Python for Data Science after completing this course with the given projects and assignments


Duration: 2 months, 4-6 hours/week

Rating: 4.6 out of 5

You can Sign up Here


Those were the best Python Data Science courses and certifications as chosen by experts. Hope you found what you were looking for. You can also have a look at more Data Science courses on our website. Wish you happy learning 🙂