If you’ve been searching for Udemy FREE Courses For Data Science, you’re in the right place. I’m Aqsa Zafar, a Ph.D. researcher in Machine Learning and the founder of MLTUT. I share simple, helpful tutorials to make data science and machine learning easier for learners like you. I know this field can seem overwhelming at first—but trust me, with the right resources, it becomes much more fun and less scary.
Maybe you’re just starting out as a student, thinking about switching to a data-related career, or already exploring analytics and want to sharpen your skills—I’ve found something that can really help.
Today, I’m sharing six totally free Udemy courses that are perfect for beginners. They’re short, practical, and super easy to follow—plus, they won’t cost you a thing.
So, without any further ado, let’s get started and see the Udemy FREE Courses For Data Science–
Udemy FREE Courses For Data Science
1. Intro to Data for Data Science
If you’re still figuring out what data science actually means, this course is a great place to begin. It doesn’t expect you to know anything beforehand—so if you’re from a non-technical background or just starting your college journey, this will feel super easy to follow.
What you’ll learn:
- Different types and formats of data
- What tabular data is and how data moves through its lifecycle
- Some basic but important terms every data science learner should know
Duration: Around 1 hour
My take: If you’re a total beginner, this is a must-watch. It gives you a solid understanding of the basics before you move on to tools like Python or Excel.
2. Data Science – Relationships in Data with Excel
Think you need to jump into Python to start analyzing data? Not at all. This course shows you how to spot patterns and explore relationships in data using a tool you might already be familiar with—Excel.
What’s inside:
- Real-world examples like how weather affects sales or how interest rates relate to crypto prices
- Easy methods to calculate correlations and visualize trends
- Simple, hands-on exercises done entirely in Excel
Duration: Around 1 hour
Why I love it: It’s a great reminder that you don’t need advanced tools to get powerful insights. This one’s especially helpful for business students or professionals who already use Excel regularly.
3. Learn Pandas for Data Science
If you already know a bit of Python and are ready to go beyond the basics, this course is a great next step. It focuses entirely on Pandas—the go-to library in Python for working with data.
What you’ll learn:
- How to load, clean, and transform datasets
- Ways to filter, sort, and group data
- Practical exercises that show you how to handle real-world, messy data
Duration: Around 2 hours
My tip: Make sure you’re comfortable with Python lists, dictionaries, and functions before jumping in. This course is perfect for getting hands-on with real data and sharpening your data wrangling skills.
4. Ultimate ML Bootcamp #2 – Linear Regression
Linear regression is usually the first algorithm people learn in machine learning—and there’s a good reason for that. It’s simple, powerful, and this course does a great job of explaining it in a way that actually makes sense.
What you’ll learn:
- The difference between simple and multiple linear regression
- How to build models from scratch
- Key concepts like cost functions and gradient descent, explained clearly
Duration: Around 1.5 hours
Who it’s for: If you’re getting ready for interviews or working on research projects that involve prediction, this course is a solid pick. I especially liked how it connects the theory with real code—super helpful for understanding how things actually work under the hood.
5. Intro to Optimization Through the Lens of Data Science
This one’s a bit more advanced, but it’s super valuable—especially if you’re curious about how smart systems make decisions in areas like logistics, operations, or finance.
What you’ll learn:
- How to turn real-life problems into mathematical models
- How to use Python (with Gurobipy) to solve those models
- Real-world examples from supply chain, finance, and beyond
Duration: Around 3 hours
Why I recommend it: As someone working in applied machine learning, I really enjoy courses that bring math and code together. If you’re ready to go a bit deeper and explore the optimization side of data science, this course is definitely worth your time.
6. How to Get a Data Science Job Without Experience
Let’s be honest—learning the skills is one thing, but getting that first job? That’s a whole different challenge. This quick course gives you real, practical advice on how to break into the field, even if you don’t have prior experience.
What you’ll learn:
- How to build a résumé and portfolio that actually stand out
- What hiring managers are really looking for
- Tips for handling technical interviews and take-home assignments
Duration: About 35 minutes
Perfect for: Students, recent grads, or anyone switching careers. It’s short, straight to the point, and full of useful tips—especially if you’re feeling stuck on how to make that first move into data science.
Final Thoughts
Learning data science doesn’t always mean signing up for pricey bootcamps or committing tons of time. These free Udemy courses show that you can access high-quality, beginner-friendly resources without spending a single penny.
As someone who’s been through the journey—from student to researcher to educator—I truly believe that with consistent effort, curiosity, and the right resources, anyone can succeed in this field.
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Thought of the Day…
‘ It’s what you learn after you know it all that counts.’
– John Wooden
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.