TOP Mathematics for Data Science for beginners from scratch

Data science includes a wide range of approaches and methods for collecting, processing, analyzing and visualizing data sets of any size. A separate practically important area of ​​this science is working with big data using new principles mathematical and computational modeling, when classical methods stop working due to their impossibility scaling. This course is designed to help the student learn the basics of the subject area through formulation and solving typical problems that a data science researcher may encounter in his or her work. To teach the student to solve such problems, the authors of the course provide the student with the necessary theoretical minimum and show how to use the tool base in practice.

It's difficult here, but interesting. The study takes 8 months. A lot of theory, even more practice, people and methodology - everything is aimed at ensuring that you master the profession of a Data Science specialist.

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Bachelor's program in Data Analytics and Machine Learning. Become a sought-after IT specialist, get a diploma from a state university and change the world with the help of high technology. Study full-time and part-time online: listen to lectures and complete the session without leaving home. At the end of the training you will receive a state-issued bachelor's degree from RANEPA.

Master the most in-demand Data Science profession from scratch. You will receive all the necessary skills in programming, mathematics, and machine learning for a quick start in the profession while still studying.

Training. The online course “Mathematics for Data Analysis” will introduce you to the necessary material from mathematical analysis, linear algebra, probability theory and discrete mathematics for a full understanding and ability to solve analysis problems data. The goal of the course is also to develop mathematical thinking, which is important in the modern field of Computer Science in general and in data analysis in particular.

In this course you will learn combinatorics and basic tools for solving combinatorial problems. This knowledge will be useful if you become a software engineer, get into data analytics, or decide to study programming at an advanced level. Combinatorics helps programmers gain a deeper understanding of mathematics, look at algorithms from a different angle, and think in new ways. This course is suitable for those continuing to study discrete mathematics. To make learning easier, we recommend taking the Introduction to Mathematical Logic and Set Theory courses in advance.

You will refresh your knowledge of mathematics, learn basic formulas and functions, and understand the basics of machine training and you can start a career in Data Science - IT companies around the world are looking for such specialists.

You will learn to solve business problems using data. First, get the necessary training, improve your mathematics and statistics, and then study SQL, Python, Power BI and in a year you will become a data analyst.

For those who have experience in IT, but do not have a strong mathematical foundation, an alternative track will help them gain the missing knowledge in mathematics and join one of the other four areas.