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.
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!
FAQ
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.