75 FREE Data Science Courses on Udemy You Need to Know in 2025

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-

FREE Data Science Courses on Udemy

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 2025	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 2025	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: 2025	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.

Conclusion

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!

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