Top FREE Resources to Learn Data Science
Today, we want to present some of the best resources for learning Data Science. And the best part is, these resources are all free!
We started our software engineering and data science journey back in 2015. After completing our Bachelor’s degree in Computer Science, we worked on various industry projects for big companies and found our passion for data science.
In 2019, we started a part-time Master’s degree in Data Science! We completed our studies in early 2022. That was the best decision we could have made in our lives!
Today, artificial intelligence and data science are everywhere in business! That’s why you should prepare yourself for an AI-driven economy. Data science skills will be more important in the future than ever before!
On the way through our studies and our professional life, we completed many online courses and watched many YouTube videos. There is a lot of good, free content on the internet for learning data science. We have put together some of the best learning materials for you.
So you can get started right away!
Learn Coding
Learning programming is the foundation for a successful career as a software engineer or data scientist. For this reason, you should start learning the basics as early as possible.
Learn the Basics of Coding
The YouTube channel by Corey Schafer is focused on coding tutorials for software developers, programmers, and engineers. The channel covers topics about Python, development environments, SQL, computer science fundamentals, Git, and many more.
This channel is suitable for all skill levels. Whether you have been programming for years or are a beginner, you will always learn something new on this channel!
Check it out. It’s worth it!
Learn Machine Learning
In the previous section, we introduced you to a great YouTube channel about coding and programming. Next, you should focus on acquiring machine learning skills. In the following, we present you learning resources that can help you with this.
Data Science Bootcamp
This bootcamp aims to develop strong data science skills, focusing on machine learning to meet the needs of the data science world.
You will learn:
- What is data science?
- Statistics basics (uni-, bi- and multivariate statistics).
- NumPy, Pandas, and Matplotlib for interesting data visualizations.
- how to use different ML models.
Learn Statistics and Mathematics for Machine Learning
The YouTube channel StatQuest by Joshua Starmer is an absolute gold mine for ML Enthusiasts! Joshua Starmer has a fun approach to teaching you statistics and mathematics for machine learning! He breaks down the data science concepts into easy-to-understand pieces.
Statistics, machine learning, and data science can sometimes seem scary, but thanks to StatQuest, they are quite simple! Check it out. It’s worth it, we promise!
Introduction to Bayesian Data Analysis
Bayesian data analysis is becoming a popular tool for many data-analysis problems. This free course will teach you the basics of random variables, probability distributions, Bayes’ rule, and its application in simple data analysis.
You will learn:
- to use the programming language R.
- basic ideas relating to random variables.
- the fundamental properties of probability distributions.
- how to apply Bayes’ rule in data analysis.
Learn Natural Language Processing
Understanding Embeddings for Natural Language Processing
In this course, you will gain a basic understanding of how numerical representations transform language. The course covers text embeddings, tokenization, modern techniques, and practical applications. No prior AI experience is necessary.
You will learn:
- what embeddings are.
- how to store and work with embeddings by using vector databases.
Learn how Large Language Models work
We can recommend the YouTube channel of Andrej Karpathy. Andrej Karpathy, formerly Tesla Director of AI and OpenAI founding member, is not only a pioneer but also one of the best teachers in the world of AI.
If you are interested in LLMs, you should check out his latest videos on YouTube!
Now you’re well-equipped and on a good way to becoming a successful data scientist!
But we have one more thing …
Are you interested in LangChain and Prompt Engineering? YES, that’s great! We have written two books on these topics!
These books are packed with easy-to-understand visualizations and practical examples. Because our motto is “learning by doing”! And that should be yours too!
Happy learning, and have a great day! 😉😉
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