Mathematics and Statistics for Data Science

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A course in which you will learn how to perform statistical data analysis using Python and develop mathematical thinking to solve real Data Science problems. As a result, you will make decisions based on numbers, not abstract hypotheses.

Results after the course:

- process, analyze and visualize data using Python and its libraries
- you use in your work the basic mathematical methods and theories of data processing
- interpret the results of the analysis, find and correct errors
- describe real processes and tasks in mathem

Course Description

Lecturer

Natalia Kees

Data Scientist в Airbus

- has 5 + years of experience in Data Science
- creates artificial intelligence systems for natural language processing
- builds search engines and smart assistants to automate processes
- worked in Data Science projects in the fields of science, insurance, engineering