Data Science: self-study materials for advanced level
11 Sep

In the first part of our Data Science self-study materials, we provided motivated beginners with the essential resources they need to better understand the fundamentals of mathematical analysis, algorithms, statistics, SQL and other key concepts required for stepping into the exciting world of Data Science. And now, for those who are ready to advance to the next level and delve deeper into these subjects, we would like to share some additional resources.

Traditionally, all sources are organized by topics for your convenience.

Let’s go!

Linear Algebra

Multivariate Calculus

Probability & Statistics

These resources will help make your Data Science learning journey seamless and exciting. If you're genuinely passionate about diving deep into the captivating world of data, explore our available Data Science programs and join us to broaden your knowledge and enrich it with hands-on experience.