Python for data science udemy free

Udemy is one of the most popular MOOC-based e-learning platforms in the world. Udemy has a wide variety of Data Science courses. That’s why in this article, I have listed 75 FREE Data Science Courses on Udemy.

For these courses, You don’t need to pay a single buck. So give your few minutes to this article and check out the FREE Data Science Courses on Udemy.,

Note- Most of these courses cover Data Science basics and for beginners. If you are looking for advanced level data science courses, then check this list- 15 Best Online Courses for Data Science

Now without any further ado, let’s get started-

For your convenience, I have created a table from where you can filter out the course according to Rating, Time to Complete, and Prerequisites.

S/N Course Name Rating Time to Complete Prerequisites
1. Introduction to Data Science using Python  4.5/5 2hr 32min None
2. What is Data Science? 4.3/5 40min None
3. Learn NumPy Fundamentals (Python Library for Data Science) 4.7/5 1hr 49min None
4. Essentials of Data Science 4.3/5 1hr 41min Basic statistics and math
5. Data Science, Machine Learning, Data Analysis, Python & R 4.1/5 8hr 7min None
6. Python For Data Science 4.4/5 3hr 55min None
7. Python for Data Science – Great Learning 4.3/5 1hr 55min None
8. Python Crash Course for Data Science and Machine Learning 4.6/5 1hr 39min None
9. Introduction to Data Science for Complete Beginners 4.4/5 1hr 56min None
10. Intro to Data for Data Science 4.5/5 1hr 1min None
11. Introduction to Python For Data Science 2022 4.5/5 57min None
12. Data Science with Analogies, Algorithms and Solved Problems 4.0/5 1hr 19min Basic mathematics
13. Learn Data Science With R Part 1 of 10 3.9/5 8hr 42min Basic Maths,Stats and Programing
14. Maths for Data Science by DataTrained 3.6/5 55min 10th class Level math
15. Data Science for Business Leaders: Machine Learning Defined 4.4/5 1hr 58min None
16. Data Science: Intro To Deep Learning With Python In 2022 4.3/5 1hr 54min Python Basics
17. How To Build a Career in Data Analytics and Data Science 4.2/5 1hr 39min  None
18. NumPy for Data Science Beginners: 2022 4.2/5 1hr 51min  Python Basics
19. 50 Must-Know Concepts, Algorithms in Machine Learning 4.0/5 54min Machine Learning basics
20. SQL Crash Course for Aspiring Data Scientist 4.5/5 1hr 24min None
21. Intro To Machine Learning Course With Python: Internship 4.2/5 40min  None
22. Explore, Track, Predict the ISS in Realtime With Python 4.9/5 1hr 13min Python basics
23. Implementation of ML Algorithm Using Python 4.4/5 48min  Python basics
24. SQL for Data Analysis: Solving real-world problems with data 4.5/5 1hr 57min None
25. Bootcamp for KNIME Analytics Platform 4.5/5 4hr 13min None
26. Learn Python: Python in 80 Minutes for Beginners 4.5/5 1hr 20min  None
27. Introduction to Spacy for Natural Language Processing 4.5/5 1hr 34min Python and Machine Learning basics
28. Learn Data Analysis using Pandas and Python 4.2/5 1hr 39min None
29. AI foundations for business professionals 4.4/5 2hr  None
30. WEKA – Data Mining with Open Source Machine Learning Tool 3.5/5 3hr 30min  Basic maths
31. Introduction to Data Analysis for Government 4.4/5 1hr 12min You should be a government employee
32. R Basics – R Programming Language Introduction 4.5/5 4hr 6min Basics of statistics and data structure
33. Find Actionable Insights using Machine Learning and XGBoost 4.5/5 37min Python basics
34. Association Mining for Machine Learning 4.6/5 1hr 48min  None
35. Master Data Analysis with Python – Intro to Pandas 4.6/5 5hr 9min Python Basics
36. Logistic Regression Practical Case Study 4.7/5 1hr 4min The basic theory of Logistic Regression
37. Acumen Presents: Prasad Setty of Google on People Analytics 4.5/5 35min None
38. Planning for Data Collection 4.3/5 30min None
39. Augmented Data Visualization with Machine Learning 4.6/5 3hr 15min Basic Understanding of Statistics & Business Analysis
40. Python for Data Analysis 4.4/5 1hr 10min  Python basics
41. Polynomial Regression, R, and ggplot 4.8/5 1hr 5min Basic R programming
42. Deep Learning Prerequisites: The Numpy Stack in Python V2 4.6/5 1hr 59min  Linear Algebra, Probability, and Python Programming
43. Artificial Neural Network for Regression 4.7/5 1hr 11min  Deep Learning Basics
44. Modern Data Visualization with Oracle Analytics Cloud 4.4/5 3hr 54min Basic Understanding of Reports and Analysis
45. R, ggplot, and Simple Linear Regression 4.6/5 2hr 14min None
46. Fundamentals Data Analysis & Decision Making Models – Theory 4.0/5 31min None
47. Baseball Data Wrangling with Vagrant, R, and Retrosheet 4.7/5 2hr 10min R Programming basics
48. Data Visualization in Python Masterclass™ for Data Scientist 4.4/5 1hr 48min  Python basics
49. Big Data Analysis With Pandas Data Frame 4.6/5 1hr 43min Python basics
50. Learn Data Cleaning with Python 4.1/5 50min Python basics
51. Tableau Fundamentals for Aspiring Data Scientists 4.2/5 1hr 58min None
52. Statistics literacy for non-statisticians 4.7/5 1hr 36min None
53. Python for linear algebra (for absolute beginners) 4.8/5 1hr 49min None
54. Microsoft Excel – Basic Data Visualization in Excel 4.4/5 1hr 1min  Basic understanding of Excel formulas
55. Practical Deep Learning Projects 4.9/5 1hr 54min  Machine Learning basics
56. Big Data and Hadoop Essentials 4.2/5 43min  None
57. Python AI and Machine Learning for Production & Development 4.7/5 1hr 43min Python Basics
58. The Ultimate Python and Pandas Data Analysis Course 4.2/5 1hr 1min Python Basics
59. Data Visualization with Excel – Crash Course 4.4/5 33min None
60. Learn Statistical Data Analysis with Python 4.4/5 1hr 2min Python basics
61. Executive Data Storytelling 4.4/5 30min  None
62. Data Visualization 4.5/5 1hr 10min None
63. Excel Data Visualization for Business Analysts 4.3/5 1hr 12min Excel basics
64. Introduction to R 4.4/5 10hr 4min Basic understanding of maths and statistics
65. Data Warehouse basics for absolute beginners in 30 mins 4.5/5 34min Basic Database Understanding
66. Excel Data Validation For beginners 4.6/5 1hr 23min Microsoft Excel basics
67. R and RStudio for Beginners – A Quick Introduction 4.5/5 1hr 2min  None
68. Training Sets, Test Sets, R, and ggplot 4.7/5 1hr 30min  Basic understanding of linear and polynomial regression.
69. Introduction to Bayesian Statistics 4.7/5 1hr 19min Understanding of probability basics.
70. Microsoft Excel Pivot Tables – The Beginner Course 4.6/6 50min Excel basics
71. Learn Keras: Build 4 Deep Learning Applications 4.3/5 1hr 29min Python basics
72. Learn R for Business Analytics from Basics 3.8/5 1hr 43min  None
73. Baseball Database Queries with SQL and dplyr 4.5/5 3hr 2min R Basics
74. CatBoost vs XGBoost – Quick Intro and Modeling Basics 4.6/5 50min  Some Python and Modeling experience
75. Genetic Algorithm for Machine Learning 4.7/5 1hr 32min  None

And here the list end. So, these are the 75 FREE Data Science Courses on Udemy. I will keep adding more free courses to this list.


I hope these FREE Data Science Courses on Udemy will definitely help you to enhance your data science and machine learning skills. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!


Is udemy good for data science?

Yes, Udemy is good for short courses that provide enough information in a short amount of time. Udemy is an Inexpensive, easy-to-use platform and has more specific courses on data science.

Which is better coursera or udemy?

Coursera is better for detailed, structured, and credible courses whereas Udemy has short courses that provide enough information in a short amount of time. For a more detailed comparison between Coursera and Udemy, check this article- Coursera vs Udemy for Data Science: Which is Better?

Can we mention udemy certificate in my resume?

Yes, you can. But skills are more important than a certificate.

Do udemy courses expire?

No, on Udemy you will get lifetime access to the course material. This is the best feature of Udemy.

Does udemy have a time limit?

No, on Udemy once you purchase the course, then it’s up to you when you want to complete the course.

Thank YOU!

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Though of the Day…

It’s what you learn after you know it all that counts.’

– John Wooden

Does Udemy have free Python courses?

Free Beginner Course going over the fundamentals of Python programming. In this free, brief course we'll cover all the fundamentals of building python scripts. We'll go through everything you need to know and understand in Python (and we'll do it quick too.)

How much does it cost to learn Python for data science?

While everyone is different, we've found that it takes three months to a year of consistent practice to learn Python for data science.

Is Udemy data science worth it?

This massive course is rated as one of the Bestseller courses in the platform with over 360k enrollment as well as a 4.5 rating score and if you are really a beginner and you want to be professional in data science and highly recommend the course.

How much does Udemy Python cost?

Python for LSTMs, ARIMA, Deep Learning, AI, Support Vector Regression, +More Applied to Time Series ForecastingRating: 4.7 out of 51167 reviews23 total hours170 lecturesIntermediateCurrent price: $79.99.