15 Best Data Science Courses On Udemy 2026

Udemy is full of courses you can learn from, and there is a wide range of levels, so you can either learn something from scratch or continue with an appropriate course for your knowledge.

Data science is a useful way of extracting important data that could be useful from a bunch of unorganized data. On top of that, data science is all about applying the extracted information in actionable ways to improve.

So if you’re looking to get into this interesting field, down below, you’ll find the 15 best data science courses you can find on Udemy, so keep on reading!

Best Data Science Courses On Udemy

Finding a quality data science course can be hard. Still, with the 15 best data science courses directly available on Udemy, you won’t have difficulty making the right decision, as any of these can be a great fit!

1. The Data Science Course: Complete Data Science Bootcamp

If you’re new to Data Science and yet you’d like to learn everything there is about it, this is the course you should start with.

This course is a complete bootcamp that will guide you on everything related to data science, including statistics, Python, mathematics, and even machine learning and deep learning.

The course is split into 64 sections, and you’ll learn from almost 500 different lectures, a total of almost 30 hours of length training.

This course is aware that data science is hard to master, and with universities that are lacking in data science training, this course’s mission is to provide an all-in-one training that ties everything you need to know about data science, but also about sub-related aspects of data science, such as programming, mathematics, analytics, and others.

So in this training, you can expect to start building related skills from simple data science skills, mathematics, and statistics, to programming in Python, using Tableau, and advanced statistics.

You’ll also be touching on and learning many different data science disciplines that will tie all these sub-related aspects into one, preparing you for a career in the data science field.

Also, you’ll be surprised that some of the largest companies, such as Apple or Netflix, are using this exact training with their employees.

The course includes almost 30 hours of video training, 90 articles, 500 resources, and you even get a certification of completion. For the latest price, visit the official course page.

2. Data Science A-Z: Real-Life Exercises

Whether you think you know a bit about data science or you’re looking to learn everything there is about it, the best way to learn is with real-life examples and exercises, and that’s exactly what this course is all about.

In this hands-on course, you’ll learn things such as preparing data for analysis, cleaning your data before analysis, performing basic data visualizations, data modeling, and curve-fitting your data.

The course also touches on other sub-related data science aspects, such as the use of Tableau, SQL, SSIS, and Gretl.

Therefore, training is split into 28 sections that hold slightly over 200 lessons, over 20 hours in total.

You’ll start by learning data visualization first, then progress with data modeling, data preparation, and even communication.

You’ll get unlimited access to seven articles and real-life exercises, along with the video training. For the latest price of this course, visit the official course page.

3. Python for Data Science & Machine Learning

Python is of huge importance for data science. This course is all about teaching you how to use Python for data science purposes and how to take additional advantage of your data for machine learning.

You’ll start learning how to program in Python, from where you will dive deep into data visualization, data analysis, and machine learning.

The course is ideal for students who know some Python and are looking forward to using their knowledge by learning more about data science and tying it with machine learning.

Therefore, the course is split into 26 sections with 231 lectures, making 44 hours in total length.

Along with the video training, there are also 6 articles, 33 resources, four coding exercises, and you’ll also get a certification of completion.

For the latest pricing, visit the official course page.

4. Complete Data Science & Machine Learning Bootcamp

If you’re all about practical learning and yet you’re interested in learning the ins and outs of data science and still build a portfolio while you’re learning, this is the course that will fit your needs.

This course will teach you how to program using Python, you’ll get to work on practical projects during your training, and you’ll learn how to use algorithms to analyze real-life data.

On top of that, you’ll also learn data visualization techniques, get to know the latest tools that will help you along the way, and even build your portfolio of data science projects.

By the time you complete this training, you’ll save yourself a lot of money and time and be able to start your career in data science.

This course is split into 13 sections that include 207 lessons, which total 41 hours in length.

Besides video training, you’ll get access to 31 articles, 34 resources, seven programming exercises, and even a certification of completion.

For the latest price of this course, visit the course’s official page.

5. Statistics for Data Science and Business Analysis

If you already have some experience or knowledge with data science and you’re looking to focus on statistics strictly, even business analysis, this is the right course to take.

This course focuses on the fundamentals of statistics, so you will learn how to work with data (various types), calculate correlations, make estimates, learn regression analysis, and even practice all of the above using dummy variables and examples.

The course is split into 18 sections that include 92 lectures, and all videos together are almost five hours long.

While you start with the fundamentals, you’ll quickly learn how to do measurements and even take a shot at practical examples included in the training.

Along with the five-hour on-demand video training, you’ll also get 28 articles and 98 resources, besides a certificate of completion.

All of the training above also applies and can be used for business analysis, making it ideal for salary and income, promotions, and securing your future in the field.

For the latest pricing of the course, visit the course’s official page.

6. Machine Learning in Python (Data Science and Deep Learning)

Learning how data science works in the machine learning field can be extremely interesting. if you have no experience and yet that’s what you’re trying to learn, this is the course that will fit your needs.

This course will teach you how to analyze and use data to build neural networks, make predictions, regressions, and implement machine learning even at a massive scale.

You also get to learn how to visualize data, learn more about reinforcement learning, and learn your way around must-have tools such as MatPlotLib or Seaborn.

The course is split into 13 sections which makes it easy to follow where the total number of lectures is 116. All video lectures together are 15 hours long, so you’ll have plenty of in-depth material to learn from.

The best part of the training in dealing with real-world data is learning from case studies and real-life examples so you can know how to handle even a bit more complex tasks that could come your way.

Along with 15 hours of video training, you will get access to six articles, one resource, and a certificate of completion.

For the latest price of this course, visit the course’s official page.

7. Statistics for Business Analytics and Data Science

Data science is of huge importance in business analytics. If you’re chasing a data science career in business, there’s no better course to get your knowledge and experience from than this course.

This course will teach you the difference between variables, understand deviations, statistical significance, potential pitfalls, confidence intervals, and how to apply hypotheses, central limit theorem, and more.

From distributions to the core limit theorem, all the way to hypothesis testing and statistical significance, you’ll even reach advanced testing that will prepare you for a career in statistics.

The best thing about the course is that you only need a basic knowledge of high school math.

For easier learning, the course is split into six sections, hosting 42 lectures, where the total time of the video training is slightly over six hours.

Along with the video training, you’ll get three useful articles that will help you through the training, and upon completion, you’ll also receive a certificate.

For the price of this course, visit the course’s official page.

8. Intro to Data Science: Step-by-Step Guide to Starting

Some of you might not even know what data science is, or you know a thing or two and would like to learn more about it briefly, this step-by-step course is a great introduction.

In this course, you’ll get to learn the whole data science process and how things work, from where you’ll learn from concepts, and even get to learn how to create visualizations from data mining.

On top of that, you’ll also learn about machine learning and how it correlates with data science. You’ll also learn more about cloud concepts, statistics fundamentals, and even a bit of advanced Python lessons.

The course is split into seven sections with 42 lectures in total, where the total length of the step-by-step video training is just over five hours.

Even though this isn’t the most elaborate course on data science, it’s ideal for beginners who don’t want to get overwhelmed at first. Also, the course doesn’t have any requirements, except passion for starting your career in data science.

For the price of this course, visit the course’s official page.

9. Careers in Data Science A-Z

Data science is a great career choice because it’s high in demand, but it lacks qualified and skilled professionals. So if you made up your mind to start a career in data science, there’s no better course to learn from than this one.

This course is made to deliver highly valuable lessons, insights, advice, and even tips and tricks that will help get you up to speed and separate you from being just another data scientist in the bunch.

The course is split into eight sections, it includes 52 lectures, and it is three and a half hours long in total. That’s exactly what it’ll take you to learn the ropes of data science.

But what’s different about this course is that it’s highly focused on data science as a career choice, so you’ll learn the requirements, what it takes to become a top data scientist, job options you can expect, promotions, and even how to handle interviews after you’ve successfully crafted the skill.

For the latest price of the course, visit the course’s official page.

10. Data Science: Deep Learning and Neural Networks in Python

If you know your way around data science and you’d like to improve your skills to connect it with deep learning and even building neural networks in Python, this is a great advanced course you should take.

In this course, you will learn how to build neural networks with the help of deep learning techniques. The goal is to take full advantage of Python and Numpy and put methods such as backpropagation to use. Of course, the main purpose of the course remains the ability to connect machine learning with data science.

The course is split into 14 sections, there are 89 lectures, and the total video training length is slightly over 11 hours.

However, by the time you finish this course, you’ll be able to fully create models that will automatically learn features only by relying on data science.

For the price of this course, visit the course’s official page.

11. R Programming: Advanced Analytics in R for Data Science

Programming is a huge part of data science, and while Python is often the most popular choice, R is also a decent choice used in this training.

Therefore, keep in mind that you’ll need basic knowledge of R for this training. But if that’s not an issue, you’ll be able to learn data preparation and analysis in R, working with date-times, working with lists, applying family functions, and learning the R’s ins and outs from the data science perspective and usage.

The course is split into five sections, yet there are 53 lectures, and the total video training length is six hours in total.

What’s even better yet is that this training includes plenty of real-life case studies such as financial data you’ll be working on in the first section of the training.

Along with six hours of training, you’ll get bonus lectures and five articles to help your training.

For the latest price of this course, visit the course’s official page.

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12. Python Data Science with Pandas: Master 12 Advanced Projects

If you’ve been using Pandas for data science and consider yourself an advanced data scientist who loves a challenge that can help growth, this is the ideal course you should take.

This course is built to help teach you more than just writing a few lines of code in Pandas. The course focuses on real-world projects that will help you improve your Pandas skills and take them to an even more advanced level.

The course is split into 16 sections, there are 195 lectures, and the total video lesson length is 15 and a half hours.

But after completing this course, you’ll be able to master large or unorganized datasets easily, master writing code in Pandas, create efficient data projects in Pandas, get into machine learning, or even focus on the finance and investment industry.

For the latest price of this course, visit the course’s official page.

13. Data Science & Deep Learning for Business – Case Studies

There’s no better way to learn than from real examples where you can combine theory and practice, and if that’s your way of learning, this is the best data science course you can try.

This course is compiled from 20 case studies where the combination of these case studies will teach you how to understand and value data, solve common business problems using data science, use commonly used tools in practice, and even do complex things such as building bots using reinforcement learning.

Therefore, you’ll find 38 sections inside this course featuring 190 lectures of 21 hours in total length. On top of that, you’ll also get 31 articles and eight resources, as well as a certificate of completion after you finish the course.

What’s also great about this course is that it’s aimed at taking advantage of data science for business purposes. You’ll learn everything from probability theory, hypothesis testing, and connecting data science with deep learning in detail.

For the latest price of this course, visit the course’s official page.

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14. Data Science for Business with Real-World Business Case Studies

Data science is of huge importance in business, and if you already know bits and pieces, there’s no better way to make a career in data science than ensuring it happens in business.

This course is all about teaching you how to take advantage of data science for business. You’ll learn everything from developing AI models to help with daily business issues, developing forecasting to make future predictions, improving and optimizing marketing strategies, and even creating models that can analyze aspects such as social media reviews.

The training is split into seven sections, yet there are 73 lectures, of which there are 11 hours of video footage you get to learn from.

Since the course focuses on data science for business use, you’ll learn things that apply to various departments, such as human resources, marketing, sales, operations, production/manufacturing, and even public relations.

On top of that, you’ll get one article and 13 downloadable resources that will help you with the training. Upon completion of the course, you’ll receive a certificate of completion.

For the latest price of this course, visit the course’s official page.

15. Data Science Career Guide

If you’re very passionate about making data science your career, this is the most suitable course you’ll find on Udemy.

You’ll have to have previous experience in Python, SQL, and general data science, but what you’ll learn in this course is how to ensure that all your knowledge comes across wisely in an interview.

You can know everything about data science, but if you’re not prepared for a data science job interview, your knowledge might not get expressed as well as it should be.

Therefore, in this course, you’ll learn how to create an incredibly good data science resume, practice probability and statistics examples, practice SQL-related questions, understand the position, and even find out which position you’d like to aim for.

The course is split into 12 sections featuring 110 lectures, with four hours of video lessons.

On top of that, you’ll get three articles that will help you prepare yourself and be confident for your first interview at the beginning of your data science career.

For the price of this course, visit the course’s official page.

Conclusion

Depending on your current position and knowledge, any of these best data science courses on Udemy can be a great fit, as long as it’s appropriate for your current needs.

While the Complete Data Science Bootcamp is a great place to start as it’s an incredibly good course packed with valuable information and lessons, it might not be a great fit for advanced data scientists.

Therefore, making the right choice is super important and, needless to say, these courses are more than what you might need to kickstart your career in data science even with no previous experience or knowledge, so make the right choice!