TOP Mathematics Courses

Course-profession Data Analyst. Try 3 days free. — Learn a new profession from scratch and begin to help business by making key decisions based on data. — Explore the capabilities of analytics services, BI tools, Python and SQL for data analysis and gain highly paid skills. — We will help you find a job and achieve an income of 200,000 rubles/month

Professional retraining (816 hours). Philology, linguistics. The program is accredited. Each thematic block ends with a small individual project; a new specialty in demand; internship in specialized companies; two guest lectures.

This course is suitable for people who need to analyze data in which observations are not independent of each other (for example, families, repeated measures, etc.). The course is designed for those who have mastered the basic techniques of regression analysis using the R language, are familiar with the maximum likelihood method and generalized linear models.

Take the Financial Analyst program and get one of the most promising professions: start from scratch or improve your skills. Learn to assess the economic situation of a company, create financial models for business, prepare management reports and analyze the budget. You will earn from 70,000 rubles. without experience at the start of your career and from 200,000 rubles if you are a specialist with more than 3 years of experience.

Trainings, seminars and certification. The program volume is 24 hours. We invite 1st and 2nd year students. You will receive the necessary amount of knowledge to master disciplines related to quantitative assessments in statistics, marketing, and logistics.

Training. Working with data. The course will introduce you to the necessary material from discrete mathematics, calculus, linear algebra and probability theory to fully understand and be able to solve data analysis problems. 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.

This course is aimed at people who want to learn how to describe patterns of behavior of quantitative quantities depending on discrete factors. The course is designed for those who have mastered the basic techniques of regression analysis using the R language.

— You will become a professional in developing a financial strategy and managing the finances of a company, team and projects. — Learn to estimate costs online business, calculate unit economics, build DCF models and work with financial statements. - We will help you find a job and achieve an income of 200,000 rubles/month

This program will help you learn how to build models with random factors for quantities with different types of distributions. To make it easier to master the course materials, you will need a basic understanding of linear models (general and generalized), basic knowledge of R and the ability to create simple .html documents using rmarkdown and knitr.

Department: Faculty of Mechanics and Mathematics. The program is aimed at managers, analysts, business analysts, and team leaders who need a brief and accessible presentation of data analysis methods - machine learning methods and neural networks.

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.

An original course developed taking into account the needs and capabilities of audiences of different ages and levels of training. The material is quite complex, but is presented in clear and accessible language, and is also illustrated with original and varied examples and explanations. The simplicity of the presentation of the material will allow anyone who wants to understand the basics of mathematical logic and apply it in real life to master the course.