70 Free Online Courses for Data Science to Advance Your Skills in 2024

Free Online Courses for Data Science

Are you looking for Free Online Courses for Data Science? If yes, then this article will help you and provide 70 free online courses for Data Science from various platforms. So give your few minutes and find out the best free data science online course for you.

I would recommend you bookmark this article for future reference. Because this article will not only provide free courses but also saves your searching time for different free data science courses.

NOTE- The courses which I have listed in this article are completely free. You don’t need to pay a single buck for the course.

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

Free Online Courses for Data Science

For your convenience, I have created a table, so that you can filter out the courses according to your need. But before discussing the courses, I would like to tell you the required data science skills.

A data scientist requires an in-depth knowledge of the following skills-

  1. Programming Skills
  2. Statistics or Probability
  3. Machine Learning
  4. Multivariate Calculus and Linear Algebra
  5. Data wrangling.
  6. Data Visualization.
  7. Database Management
  8. BigData

Now let’s get started and find out free online courses for Data Science.

S/NCourse NameRatingProviderTime to CompleteLevel
1. Intro to Data Science4.7/5Udacity2 MonthsIntermediate
2. Foundations of Data Science: K-Means Clustering in Python4.6/5Coursera29 hoursBeginner
3. Data Science in Stratified Healthcare and Precision Medicine4.6/5Coursera17 hoursIntermediate 
4. Bayesian Statistics: From Concept to Data Analysis4.6/5Coursera12 hours Intermediate
5. Data Analysis and Visualization4.7/5Udacity16 WeeksIntermediate
6. Data Visualization and D3.js4.7/5Udacity7 WeeksIntermediate
7. Data Analysis with R4.6/5Udacity2 MonthsIntermediate
8. Spark4.5/5Udacity10 HoursIntermediate
9. Essentials of Data Science4.4/5Udemy1hr 41minBeginner
10. R Basics – R Programming Language Introduction4.5/5Udemy4hr 6minBeginner
11. Data Wrangling with MongoDB4.7/5Udacity 2 MonthsIntermediate
12. Statistics4.7/5Udacity4 MonthsBeginner
13. Intro to Data Analysis4.6/5Udacity6 WeeksBeginner
14. Model Building and Validation4.7/5Udacity8 WeeksAdvanced
15. Machine Learning by Stanford University4.9/5Coursera60 hoursBeginner
16. Process Mining: Data science in Action4.8/5Coursera22 hours Intermediate
17. Data Analytics for Lean Six Sigma4.8/5Coursera11 hoursBeginner
18. Probability and Statistics4.6/5Coursera16 hoursBeginner
19. Data Science Ethics4.8/5Coursera15 hoursBeginner
20. An Intuitive Introduction to Probability4.7/5Coursera30 hoursBeginner
21. Practical Time Series Analysis4.6/5Coursera26 hours Intermediate
22. Real-Time Analytics with Apache Storm4.7/5Udacity2 WeeksIntermediate
23.Linear Algebra Refresher Course4.7/5Udacity 4 MonthsIntermediate
24. Improving your statistical inferences4.9/5Coursera28 hoursIntermediate
25. Hands-on Text Mining and Analytics3.9/5Coursera13 hours Intermediate
26. Improving Your Statistical Questions4.9/5Coursera18 hoursIntermediate
27. Population Health: Predictive Analytics5.0/5Coursera18 hoursIntermediate
28. Introduction to Data Science using Python (Module 1/3)4.4/5Udemy2hr 32minBeginner
29. What is Data Science?4.2/5Udemy40minBeginner
30. Python For Data Science4.4/5Udemy3hr 55minBeginner
31. Learn NumPy Fundamentals (Python Library for Data Science)4.6/5Udemy1hr 49minBeginner
32. Python for Data Science – Great Learning4.2/5Udemy1hr 55minBeginner
33. Intro to Data for Data Science4.4/5Udemy1hr 1minBeginner
34.Data Science, Machine Learning, Data Analysis, Python & R3.9/5Udemy8hr 7minBeginner
35. Python Crash Course for Data Science and Machine Learning4.6/5Udemy1hr 39minBeginner
36. Data Science with Analogies, Algorithms, and Solved Problems4.0/5Udemy1hr 19minBeginner
37. Learn Data Science With R4.4/5Udemy8hr 42minBeginner
38. Introduction to Python For Data Science 20244.3/5Udemy57minBeginner
39. NumPy for Data Science Beginners: 20244.3/5Udemy1hr 51minBeginner
40. Data Science for Business Leaders: Machine Learning Defined4.3/5Udemy1hr 58minBeginner
41. An Athlete’s Guide To Data Science4.3/5Udemy1hr 1minBeginner
42. A – Z™ Python crash course for Data Science 20244.1/4Udemy2hrBeginner
43. How To Build a Career in Data Analytics and Data Science4.3/5Udemy1hr 39min Beginner
44.Data Science – Data Mining Unsupervised Learning R & Python4.5/5Udemy1hr 52min Beginner
45. Data Analysis with Python4.6/5Udemy1hr 19minIntermediate
46. Data VisualizationNAKaggle4 hrsBeginner
47. PandasNAKaggle4 hrsBeginner
48. Data CleaningNAKaggle4 hrsIntermediate
49. Feature EngineeringNAKaggle6 hrsIntermediate
50. Explore, Track, Predict the ISS in Realtime With Python4.5/5Udemy1hr 13minIntermediate
51. SQL Crash Course for Aspiring Data Scientist4.1/5Udemy1hr 24min Beginner
52. SQL for Data Analysis: Solving real-world problems with data4.4/5Udemy1hr 57minBeginner
53.Introduction to Data ScienceNAedX6 WeeksBeginner
54.Data Science ToolsNAedX7 WeeksBeginner
55. The Math of Data Science: Linear AlgebraNAedX8 WeeksIntermediate
56.Data Science: R BasicsNAedX8 WeeksBeginner
57. Python Basics for Data ScienceNAedX5 WeeksBeginner
58. Data Science: VisualizationNAedX8 WeeksBeginner
59. SQL for Data ScienceNAedX8 WeeksBeginner
60. Statistical Thinking for Data Science and AnalyticsNAedX5 WeeksBeginner
61. Data Science: Machine Learning by HarvardXNAedX8 WeeksBeginner
62. Machine Learning Crash CourseNAGoogle15 hoursBeginner
63. Learning from DataNACaltech18 hoursIntermediate
64. Data Science Full Program by EdurekaNAYouTube10 hoursBeginner
65.Data Science Tutorial by Great LearningNAYouTube11 hoursBeginner
66.Data Science Full Course For BeginnersNAYouTubeNABeginner
67.Learn Data Science Tutorial – Full Course for BeginnersNAYouTube6 hoursBeginner
68. Data Science Full Course by SimplilearnNAYouTube10 hoursBeginner
69.Python for Data ScienceNAYouTube12 hoursBeginner
70. Statistics and Probability Full CourseNAYouTube11 hoursBeginner

And here we go!

Now, let’s see 10 beginner-friendly data science projects-

10 Beginner-Friendly Data Science Projects-

1. Fake News Detection

There is a lot of fake news spreading all over the world. So how can we differentiate between true news and false news?… The answer is with the help of Python. In this project, you have to build a model by using the Python programming language, which can identify whether the news is true or fake.

In order to implement this project, you need to build a TfidfVectorizer and use a PassiveAggressiveClassifier to classify news into “Real” and “Fake”. 

You can check the tutorial for this project in Datacamp and in DataFlair.

2. Build a Chatbots

When you have any query with any product, then you complain to customer support. So when you send a message with your query, you get a reply within a few seconds. So this is a Customer Support Bot, that understands your language by processing and then replies to your query.

You can check examples of chatbots in eCommerce, healthcare, entertainment, and customer service in this article- The Best Chatbot Examples and Awesome Chatbot Ideas That You Can Borrow.

You can check this tutorial to build your first chatbot from scratch- Build Your First Python Chatbot Project

3. Recommendation System

As a beginner in machine learning, you can start your first project as a Recommendation system. Where you have to build a system that will recommend the products based on user history. Something like Amazon or Netflix.

You can build a Music recommendation system, movie recommendation system, etc.

For the recommender system datasets, you can refer to the UCSD portal. In this portal, you will find some rich datasets that were used in lab research projects at UCSD.

This portal has various datasets available for recommender systems from popular websites like Goodreads book reviews, Amazon product reviews, bartending data, etc.

Portal Link- Recommender Systems Datasets

And you can also check this complete project on Movie Recommendation System in R.

4. Driver Drowsiness Detection

Road Accident is a serious problem and the major reason is the sleepy drivers. But you can prevent this problem by creating a driver drowsiness detection system.

Driver Drowsiness Detection system detects the drowsiness of the driver by constantly assessing the driver’s eyes and alerting him with alarms.

For this project, a webcam is necessary to monitor the driver’s eyes. Python, OpenCV, and Keras are used to alert the driver when he feels sleepy.

You can check this complete project tutorial here- Driver Drowsiness Detection System with OpenCV & Keras.

5. Sentiment Analysis 

In natural language processing, sentiment analysis is used to interpret the sentiments and classify them as positivenegative, and neutral.

Sentiment analysis is used in various domains, especially in business. Businesses are using sentiment analysis to find the opinions of their customers by using customer reviews to improve their services.

Many Political parties are using sentiment analysis to plan their election campaigns. So if you want to implement sentiment analysis, you can find the datasets from these websites-

Datasets For Sentiment Analysis

  1. Twitter US Airline Sentiment– Kaggle
  2. Paper Reviews Data Set– UCI
  3. Sentiment Lexicons for 81 Languages– Kaggle
  4. Amazon product data
  5. Stanford Sentiment Treebank

You can also check this tutorial for the Sentiment Analysis Project in R.

6. Credit Card Fraud Detection Project

In this project, you have to perform the detection of credit cards by using R programming and algorithms like Decision Trees, Logistic Regression, Artificial Neural Networks, and Gradient Boosting classifiers.

You will use the Card Transactions dataset to classify credit card transactions into fraudulent and genuine. And you will apply different machine learning algorithms and check the accuracy by plotting the performance curves.

You can check this Project Tutorial at DataFlair.

7. Road Lane line detection

This is another good project idea for data science beginners. This project will provide guidance to human drivers on lane detections through lines drawn on the road.

This project is done using the concepts of computer vision using the OpenCV library. For detecting the lane, you have to detect the white markings on both sides of the lane. And for this, frame masking is used.

You can download the source code of the project here.

8. Color Detection with Python

This is a beginner-level project, where you have to build an interactive app. This app will identify the selected color from any image. There are 16 million colors based on the different RGB color values, but we only know a few colors.

So to implement this project, you need to have a labeled dataset of all the colors that we know, and then you need to calculate which color resembles the most with the selected color value.

In order to implement this project, you should be familiar with Computer Vision Python libraries- OpenCV and Pandas.

You can check all the details regarding this project here.

9. Stock Price Predictor

This is another Best machine learning project for beginners. Various companies and businesses are looking for software that can monitor and analyze the company’s performance and predict future prices of various stocks.

As a beginner, you can develop a machine learning project that predicts the stock price for the upcoming months.

You can check this tutorial for Stock Price Prediction in Python. In this tutorial, you will learn how to predict stock prices using the LSTM neural network. And how to build a dashboard using Plotly dash for stock analysis.

10. Forest Fire Prediction

Forest Fire is one of the most common disasters in today’s world. Forest Fire damages our ecosystem. Forest fire is also a severe enemy of animals.

So, you can build a Forest fire prediction system using k-means clustering. The forest fire prediction system identifies major fire hotspots and their severity. 

You can also use meteorological data for finding the common seasons for wildfires and various weather conditions to increase your model’s accuracy.

You can check this tutorial for Forest Fire prediction here.

So, these are the 10 Projects for Data Science Beginners.

FAQ on FREE Data Science Courses

That’s all.


So, these are the 70 Best Free Online Courses for Data Science in 2024. I will keep adding more free courses to this list.

But I hope these Free Online Courses for Data Science will help you to enhance your data science skills. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

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

John Wooden

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Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.

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