8 Best Online Courses for Data Science for Beginners in 2025

Are you looking for Best Online Courses for Data Science for Beginners? If yes, then this article is for you. All the listed data science courses are best for beginners. So, give your few minutes to this article and find out the best online courses for data science for beginners.

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

8 Best Online Courses for Data Science for Beginners

1. Data Science for Everyone– Datacamp

Time to Complete- 4 hours

This is a beginner-friendly course, where you will learn about the basics of data science like Introduction to Data Science, data science workflow, Data preparation, and experimentation and prediction. If you are a beginner, then this is the best course to begin your data science journey.

There are 4 chapters in this course-

1. Introduction to Data Science
2. Data Collection and Storage
3. Preparation, Exploration, and Visualization
4. Experimentation and Prediction

Who Should Enroll?

• Who is a beginner in data science.

Interested to Enroll?

If yes, then check out the course details here- Data Science for Everyone

2. IBM Data Science Professional Certificate– Coursera

Rating– 4.6/5

Time to Complete- 10 months (5 hours per week)

This Professional Certificate from IBM is for anyone who wants to start a career in Data Science with Python.

This program has 9 courses. These 9 courses will cover all Data Science skills start from open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.

To start Professional Certificate from IBM Program, no prior knowledge of Computer Science and Programming is required. In this certification program, you will work on the following projects-

• Random album generator,
• Predict housing prices,
• Best classifier model,
• Battle of neighborhoods.

Extra Benefits-

1. You will earn a Professional Certificate from Coursera.
2. You will get a Digital Badge from IBM.
3. After completing the Professional Certificate, you will get FREE career resources.

Who Should Enroll?

1. Those who are a beginner, with no prior experience in Data Science.
2. And those who are looking to start a new career, or want to change the current one.

Interested to Enroll?

If yes, then check out all details here-IBM Data Science Professional Certificate

3. Programming for Data Science with Python– Udacity

Time to Complete- 3 months( If you spend 10 hrs/week)

This is a Nanodegree program offered by Udacity for data science beginners. In this Nanodegree program, you will learn how to represent and store data using Python data types and variables. You will also use conditionals and loops to control the flow of your programs.

By using complex data structures like lists, sets, dictionaries, and tuples, you will store collections of related data. You will also learn two powerful Python libraries – Numpy and Pandas.

Extra Benefits-

• You will get a chance to work on real-world projects with industry experts.
• You will get Project feedback from experienced reviewers.
• And you will also get Technical mentor support.

Who Should Enroll?

• Anyone can enroll in this program who has basic computer skills.

Interested to Enroll?

If yes, then check it out here- Programming for Data Science with Python

4. The Data Science Course 2025: Complete Data Science Bootcamp– Udemy

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.

Who Should Enroll?

• Those who are beginners in data science.

Interested to Enroll?

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

5. Data Scientist with Python– Datacamp

Time to Complete- 88 hours

This is a career track with 29 courses. If you are looking for a course that will provide all data science information in one place, then this is the best pick for you. This career track begins with Python Programming. You will learn Python from scratch.

After learning Python, you will learn Data Manipulation with pandas, data visualization with matplotlib and Seaborn, statistical thinking in Python, machine learning, and much more. Throughout these courses, you will work on real-world problems.

Who Should Enroll?

• Those who are complete beginners in data science, and looking for step by step career track for data science.

Interested to Enroll?

If yes, then check out the details here- Data Scientist with Python

6. Career Path Data Science with Python– Codecademy

This is a complete career path for data science using Python programming. In this career path, you will begin your learning by understanding the fundamentals of data science and Python programming.

Then you will learn data manipulation and data analysis with pandas, data wrangling, statistics basics, and hypothesis testing.

After that, you will learn data visualization to analyze and plot data about GDP and life expectancy and best practices for effectively explaining your analysis. 

This career path also covers Natural Language Processing, Machine Learning Algorithms( Supervised and Unsupervised), and Foundations of Deep Learning.

Who Should Enroll?

• Those who are a beginner in Data Science Field and want to learn data science with Python.

Interested to Enroll?

If yes, then check it out here- Career Path Data Science.

7. Professional Certificate in Data Science– edX

Provider- Harvard University

Time to Complete- 1 year 5 months ( If you spend 3 hours per week)

In this program, you will learn probability, inference, regression, and machine learning. Along with this, you will learn an essential skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git, and GitHub, and reproducible document preparation with RStudio.

Each course contains case studies such as Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems.

Along with this, you will also learn R, statistical concepts, and data analysis techniques. 

Who Should Enroll?

• Anyone can enroll. There is no prerequisite.

Interested to Enroll?

If yes, then check out the program details here- Professional Certificate in Data Science

8. Data Visualization & Dashboarding with R Specialization– Coursera

Provider- Johns Hopkins University

Rating– 4.9/5

Time to Complete- 4 months (4 hours per week)

This specialization program is good for those who want to learn data visualization using R. In this program, you will learn how to use ggplot2 to make a variety of visualizations and to polish those visualizations using tools within ggplot.

You will also learn how to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown.

This specialization program will also teach you how to create interactive visualization using Shiny, as well as combining different kinds of figures made in R into interactive dashboards.

Extra Benefits-

• You will earn Shareable Specialization and Course Certificates.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who are a beginner and want to learn Data visualization using R programming.

Interested to Enroll?

If yes, then check out the details here- Data Visualization & Dashboarding with R Specialization

And here the list ends. I hope these Best Online Courses for Data Science for Beginners will be helpful for you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I have covered the 8 Best Online Courses for Data Science for Beginners. 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