Mathematics for Data Analysis

We will help Data Science specialists master mathematical concepts: see relationships in data sets and make accurate predictions.

To see patterns in large volumes of data, the analyst relies on linear algebra, calculus, and probability theory. If a specialist does not understand these areas, the hypotheses and conclusions will be inaccurate. It's like launching a rocket into space without knowing the flight path.

We've created an introductory course to math to get you started exploring data with an important background for Data Science and choosing algorithms that will solve the problem.

Without mathematics and statistics, it is impossible to use machine learning algorithms, and therefore to manage data correctly.

Who is the course suitable for?

• Data Science SpecialistsYou will begin to gain a deeper understanding of machine learning algorithms. Understand the principles behind different algorithms so you can choose the right tools.
• Data AnalystsIntroduce basic mathematical concepts and build a theoretical foundation to better understand statistics and correctly interpret the data.