10 Best Courses on Udemy for Data Science You Must Know in 2024

Best Courses on Udemy for Data Science

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 am going to share with you the 10 Best Courses on Udemy for Data Science. So give your few minutes to this article and find out the best courses on Udemy for data science.

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

Best Courses on Udemy for Data Science

1.  The Data Science Course 2024: Complete Data Science Bootcamp

Rating- 4.6/5

Provider- 365 Careers Team

Time to Complete- 28.5 hours

This is the best course, I have found on Udemy. Why…? because this course tries to cover almost all necessary topics of data science. This course covers the following topics- Intro to data science, statistics, and mathematics required for data science, Python, Tableau, machine learning, and deep learning.

Extra Benefits-

  • You will get a Certificate of Completion.
  • Along with that, you will get lifetime access to the course material.

You Should Enroll, If-

  • You are a beginner in data science.

Interested to Enroll?

If yes, then check out the details here- The Data Science Course 2020: Complete Data Science Bootcamp

2.  Python for Data Science and Machine Learning Bootcamp

Rating- 4.6/5

Provider- Jose Portilla

Time to Complete- 25 hours

This is one of the best Udemy courses on Data Science with Python. In this course, you will learn how to program with Python, how to create data visualizations, and how to use Machine Learning with Python. You will also learn about Python libraries such as NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, etc.

Along with that, you will learn machine learning algorithms including Linear Regression, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, Natural Language Processing, Neural Nets, and Deep Learning, Support Vector Machines, etc.

Extra Benefits-

  • You will get a Certificate of completion.
  • Along with that, you will get 5 downloadable resources and Lifetime access to the course material.

You Should Enroll, If-

  • You have previous programming experience in any language and want to learn Data science with Python.

Interested to Enroll?

If yes, then check here- Python for Data Science and Machine Learning Bootcamp

3. Data Science A-Z™: Real-Life Data Science Exercises Included

Rating- 4.6/5

Provider- Kirill Eremenko

Time to Complete- 21 hours

This is the perfect course for practical exercises. This is not a theoretical course. In this course, you will learn how to clean and prepare your data for analysis, how to perform basic visualization of your data, how to model your data, how to curve-fit your data, and how to present your findings.

Throughout this course, you will learn the following tools- SQL, Tableau, SSIS, and Gretl.

Extra Benefits-

  • You will get a Certificate of completion.
  • Along with that, you will get 7 articles and Lifetime access to the course material.

You Should Enroll, If-

  • You are a beginner and want to learn data science.

Interested to Enroll?

If yes, then check here- Data Science A-Z™: Real-Life Data Science Exercises Included

4. Machine Learning A-Z™: Hands-On Python & R In Data Science

Rating- 4.5/5

Provider- Kirill Eremenko

Time to Complete- 44 hours

This is the Bestseller Course at Udemy. I personally love this course. This course not only teaches you the theory related to Machine Learning but also provides the implementation of each Machine Learning algorithm.

The best part of this course is that you will find implementation in Both Languages Python and R. If you are a complete beginner in Machine Learning, then this course is best for you.

This course doesn’t cover advanced topics but covers all basic topics of Machine Learning. You will also learn the basics of Deep Learning and Natural Language Processing.

Extra Benefits-

  • You will get a Certificate of Completion.
  • You will also get 74 articles and 38 downloadable resources.
  • Along with that, you will get lifetime access to the course material.

You Should Enroll, If-

  • You have at least high school level knowledge in math and want to learn Machine Learning.

Interested to Enroll?

If yes, then check here- Machine Learning A-Z™: Hands-On Python & R In Data Science

5. Data Science and Machine Learning Bootcamp with R

Rating- 4.6/5

Provider- Jose Portilla

Time to Complete- 17.5 hours

In this course, you will learn how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R. You will also learn Advanced R FeaturesR Data Frames to solve complex taskshow to perform Web scraping with R, etc.

The instructor of this course explains the concepts step by step and is good for beginners.

Extra Benefits-

  • You will get a Certificate of completion.
  • Along with that, you will get full lifetime access and 9 articles and 3 downloadable resources.

You Should Enroll, If-

  • You are a beginner with basic Math Skills.

Interested to Enroll?

If yes, then check out the details here- Data Science and Machine Learning Bootcamp with R

6. Data Analysis with Pandas and Python

Rating- 4.7/5

Provider- Boris Paskhaver

Time to Complete- 20.5 hours

This is the best course for data analysis using Python. In this course, you will learn about Pandas in a step-by-step manner, from installation to visualization. The best part about this course is that the instructor uses a good number of examples.

The course begins with the Installation and setup tutorial then you will learn about Data Frames and how to work with text data. Throughout this course, you will dive into dozens of datasets.

Extra Benefits-

  • You will get a Certificate of completion.
  • Along with that, you will get full lifetime access and 11 articles, 4 downloadable resources8 coding exercises, and lifetime access to the course material.

You Should Enroll, If-

  • You have basic experience with the Python programming and strong knowledge of data types (strings, integers, floating points, booleans) etc.

Interested to Enroll?

If yes, then check out the details here- Data Analysis with Pandas and Python

7. Deep Learning A-Z™: Hands-On Artificial Neural Networks

Rating- 4.5/5

Provider- Kirill Eremenko

Time to Complete- 22.5 hours

This is the best course to learn deep learning. In this course, you will learn Artificial neural networks, convolutional neural networks, recurrent neural networks, self-organizing maps, Boltzmann machines, AutoEncoders, and the basics of regression and classification.

Throughout this course, you will work on Real-World datasets, to solve Real-World business problems- Customer Churn problemImage RecognitionStock Price PredictionFraud Detection, and Recommender Systems. The instructor of this course, Kirill is an amazing instructor and explains each topic very clearly.

Extra Benefits-

  • You will get a Certificate of Completion.
  • You will also get 37 articles and 5 downloadable resources.
  • Along with that, you will get lifetime access to the course material.

You Should Enroll, if-

  • You have basic Python programming knowledge and High school mathematics.

Interested to Enroll?

If yes, then check it out here– Deep Learning A-Z™: Hands-On Artificial Neural Networks

8. R Programming A-Z™

Rating- 4.6/5

Provider- Kirill Eremenko

Time to Complete- 10.5 Hours

This is the best course for complete beginners in R programming. This course is for all skill levels and even if you have no programming or statistical background. This course will teach you the core principles of programming.

In this course, you will learn Installing R and R Studio, Core programming principles, Fundamentals of R, Matrices, Data Frames, and Advanced Visualization With GGPlot2.

Extra Benefits-

  • You will get a certificate of completion.
  • Along with that, you will get full lifetime access and 5 articles.

You Should Enroll, If-

  • You want to learn how to program in R.

Interested to Enroll?

If yes, then check out the details here- R Programming A-Z™

9. Python Crash Course for Data Science and Machine Learning

Rating- 4.2/5

Provider- Idan Gabrieli

Time to Complete- 1hr 39min

This is a Free short course on Python for data science. In this course, you will learn the Python fundamentals and syntax for developing data science projects by using Jupiter notebooks. 

This course covers the following concepts of Python- Variables, Data Types, Lists, Dictionaries, IF and For-Loop Statements, Functions, Classes, Objects, Attributes, and Methods, and Libraries for Data Science Projects.

You Should Enroll, If-

  • You are a absolute beginner and want to learn Python basics for data science.

Interested to Enroll?

If yes, then check out all details here- Python Crash Course for Data Science and Machine Learning

10. Learn NumPy Fundamentals (Python Library for Data Science)

Rating- 4.6/5

Provider- Derrick Sherrill

Time to complete- 1hr 49min

This is a free and short course but very concise and straight on point for understanding the Python library-Numpy. In this course, you will learn what is the use of Numpy, NumPy Arrays, Array Math, Array Indexing, Advanced Indexing, and Broadcasting, etc. 

You Should Enroll, If-

  • You are a beginner in Python and want to learn Numpy.

Interested to Enroll?

If yes, then check out all details here- Learn NumPy Fundamentals (Python Library for Data Science)

And here the list ends. I hope these Best Courses on Udemy for Data Science will definitely help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 10 Best Courses on Udemy for Data Science. If you have any doubts 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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