Come join us as we dive deep into data science with the help of our Best Free Python Courses. Best for those who wish to master data analysis and machine learning.
Key Takeaways
- Learn all about Python programming for data science.
- A chance to understand machine learning algorithms and data visualization.
- Apply Python skills to real-world data platforms.
What can you learn from free Python data science courses?
With Free Python Data Science courses, you can learn all about programming, data analysis techniques, and machine learning algorithms.
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness. Python Data Science Courses Evaluation & Selection Criteria
Our team prioritized each Python data science course based on factors like in-depth curriculum, higher ratings, and hands-on coding exercises.
Best Python Data Science Courses
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- UCSanDiego via edX
- 305,528+ already enrolled!
- 10 weeks (8-10 hours / week) of effort required!
This “Python Data Science” course aims to help you understand how to use powerful and open-source tools in detail. This includes Pandas, Git, and Matplotlib where you will learn to manipulate, analyze, and visualize a variety of complex datasets. Explore the shifts and developments in the data science job market for 2024 in our comprehensive guide, offering valuable perspectives and strategies for professionals in the field.
- The best thing about this course is its focus on explaining basic statistical analysis and machine learning methods.
- This course is suitable for all those who wish to understand all about python data science and visualize results effectively.
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- IBM via Coursera
- 391,923+ already enrolled!
- ★★★★★ (25,687 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ |
In this engaging class, you will get to understand python from scratch, and that too in a few hours. Here you will get to understand the Python fundamentals in detail including the data structures and data analysis. Explore the benefits of pursuing Certification in Spatial Analysis for career advancement.
- The reason why we chose this class is its focus on explaining how to create basic programs and work with data and then solve real-world problems in Python.
- This class is suitable for all those individuals who wish to gain a very good understanding of advanced python concepts. Delve into Building REST APIs in Python: Flask, Docker, and MongoDB insights with our detailed course review, perfect for developers seeking to enhance their API development skills.
Overall I can say this is a very engaging course and you can learn easily if you have some programming experience. The lecture videos are great and most of all the labs are the most beneficial. Furthermore, the additional materials are also interesting and thus my overall experience was great. (Maksym O, ★★★★★)
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- IBM via edX
- 490,528+ already enrolled!
- 3 weeks (4-10 hours / week) of effort required!
This is a type of course that will give you a detailed introduction to Python for data science. Through this course, you will learn to create your first python scripts easily.
- The best thing about this course is its focus on explaining all about sets and conditional statements in Python. You will understand why python is useful in detail. With that, the instructor will explain how you can operate on files for reading and writing data in python.
- This is the type of course that is suitable for all those who wish to understand python and all its functions. Explore top resources where you can learn machine learning with Python for free, providing a solid foundation for advancing your skills in data science.
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- Jose Portilla via Udemy
- 529,160+ already enrolled!
- ★★★★★ (113,374 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★★☆ | Fair
★★★★☆ |
This class will enable you to understand how to use NumPy, Pandas, and Matplotlib in detail. With that, you will be taught how to implement machine learning algorithms.
- The reason why we chose this class is its focus on explaining how to use Pandas for data analysis and Seaborn for statistical plots.
- This class has been designed for all those individuals who are interested in learning what machine learning and python in data science are. Master essential Data Science Skills in Python through our specialized curriculum.
I would say this is an excellent course and Jose is without any doubt the best instructor I ever got to learn from. The course is up to date and has practical information to offer. The main focus of the course was on python and jupyter and how to do data analysis. I can recommend this course to all the individuals who wish to learn python in detail. (Soheel H, ★★★★★)
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- Kirill Eremenko via Udemy
- 141,018+ already enrolled!
- ★★★★★ (23,544 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★★☆ | Fair
★★★★☆ |
Interested in understanding how to do statistical analysis and programming in python for data science? In this course, you will be taught how to do all that in detail.
- The best thing about this course is its focus on explaining the core principles of programming. With that, you will be taught how to create variables and understand what integer, float, logical string, etc are.
- This course is suitable for all those who wish to understand how to create while loop, for loop, and much more in python. Check out the best Data Analytics courses with certificates.
A truly amazing and engaging course that encloses its diverse set of topics. All the information shared in this course has been explained in a very professional way and at the same time enjoyable manner. The real-world projects were a great source to challenge your learning process. (Alejandro A, ★★★★★)
More Python Data Science Courses
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- University of Michigan via Coursera
- 3526,620+ already enrolled!
- ★★★★★ (24,903 ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Good
★★★★☆ | Good
★★★★☆ |
This engaging yet challenging specialization will help you gain new insights into your data and enable you to learn and apply the various data science methods and techniques. With the help of this specialization, you can acquire analysis skills from the comfort of your home.
- The best thing about this specialization is its focus on explaining how to conduct an inferential statistical analysis. You will also learn to analyze the connectivity of a social network.
- This specialization is for those who are interested in understanding how to enhance data analysis using applied machine learning.
Learn how to implement machine learning algorithms using Python in our step-by-step tutorial.
The courses in this specialization have helped me understand all about data science methods and techniques. All the courses were equally engaging and competitive. In short, this specialization introduced me to data science through the python programming language. (Anonymous learner, ★★★★★)
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- Microsoft via FutureLearn
- Study Level: Intermediate
- 15 weeks (5-6 hours / week) of effort required!
This engaging course will help you discover all the python programming fundamentals in detail. You will get to understand what cloud computing is and all its applications in data science.
- The reason why we chose this course is its focus on explaining how you can grow your knowledge of Microsoft Azure. With that, you will be learning key skills required to modify data.
- This course is for all those who wish to understand how you can create data visualizations through a variety of market-leading tools.
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- Alexander Hagmann via Udemy
- 19,205+ already enrolled!
- ★★★★★ (2,689 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This “Complete Pandas Bootcamp 2022” course explains how you can bring your data handling and data analysis skills to a sufficient level. In this course, you will get to learn and practice a variety of Pandas methods and workflows through real-world datasets.
- The best thing about this course is its focus on explaining how to master a complete machine learning project with Pandas, Scikit-Learn, and Seaborn. Similarly, you will get to learn the basics of Pandas and Numpy coding in a step-by-step guide.
- This course is for all those who wish to understand all about Pandas methods and understand its basics in detail.
I believe this course is full of information and contains highly engaging content that kept me motivated. I would highly recommend this course to all those who wish to understand all about Pandas. Now that I have completed this course, I still think I need some practice so as to not forget what I have learned. Plus the quiz was also great. (Samuel W, ★★★★★)
Python Data Science FAQs
Is Python good for Data Science?
Yes, Python is an open-source high-level programming language. It offers great approach for object-oriented programming. Python is known to be one of the best languages used by data scientists for multiple data science projects and thus it is good for data science.
Should I use R or Python for data science?
If you have interest in statistical calculations and data visualizations then R has to be the best choice for you. But on the other hand, if you have interest in data science, AI, and deep learning algorithms and want to become a data scientist then Python would be a wiser choice.
Can I learn Python in a Month?
Only the basics of Python can be learned in a month that will lead you to writing a simple program. However, Python is a vast language and the adventure doesn’t stop here. To increase your level of Python knowledge, it can take you more than a month. The more effort and time you put in, the more exciting and fun it will get to learn Python.
How long it will take to learn Python?
Learning the entire fundamentals of Python can take up to six months. But just like we have mentioned earlier, you can learn python in a month enough to write your first short program. But know that, developing mastery of Python’s vast array of libraries will take you more than a year.
How do I start learning data science with Python?
To be able to understand Python;
- You first need to understand Python fundamentals. At takethiscourse.net, you can find the “Python basics for data science” course to help you get started.
- Next, you can practice with different mini Python projects.
- Similarly, you can learn Python data science libraries.
- After that, you should learn to build a data science portfolio.
- Enroll in a Python for data science course to dive deep into the advanced concepts. You can find a variety of Python data science courses at takethiscourse.net.
- Then learn the advanced data science techniques.
These steps would be enough to get you started.
Final Thoughts
As a data scientist, learning python is very important and worth your time and effort; that is why we believe this list of best python data science classes can help any interested learner to develop the desired skills. Therefore, enroll in one of the courses from this python data science courses list and never stop learning.