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ПІБ платника:
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### Description:

The course is intended for those who want to start Data Science journey, but math knowledge does not allow you to feel confident enough; for those who want to refresh basic mathematics before delving into the data science; for those who do not want to make a reference to a math textbook every time when studying new algorithms.

### Key skills:

In the course we will give a base that will allow you to easily learn new specialized sections of mathematics for Data Science. Recall the basic functions, their properties, operations with them; we will go through the basics of differentiation and integration and their application; we will get acquainted with sets and matrices, combinatorics and an introduction to probability theory.

### Outline:

 Schedule Themes Monday Equations and Inequalities; Quadratic Equations and Inequalities; Absolute Value Tuesday Exponentiation; Basic Rules for Exponentiation; Arithmetic, Geometric and Harmonic Progressions Wednesday Sets Definition; Basic Operations; Common Number Sets; Binary Relations Thursday Introduction to Function; Domain of Definition; Range of the Function (Codomain); Even and Odd Functions; Periodic Function Friday Power Function; Inverse Function Monday Logarithm; Exponential Function; Logarithmic Function Tuesday Trigonometry Basics; Trigonometric Functions Wednesday Vector; Line; Plane; Angle Between Geometry Objects Thursday Introduction to Derivatives; Equation of a Tangent Line Friday Functions Monotony; Extrema of a Function; Concavity and Convexity of a Function Monday Antiderivative: Rules, Formula & Examples. Tuesday The Indefinite Integral and Basic Rules of Integration. Area Under a Curve Wednesday Matrix of a Numbers, Basic Operations, Determinant Thursday Basics of Combinatorics Friday Basic Concepts of Probability; Sum Rule; Product Rule; Unconditional Probability; Conditional Probability
Инструктор:

## Ирина Лазаренко

Одна из ведущих инструкторов DEVrepublik boot camp, а также Старший преподаватель кафедры математического моделирования экономических систем Национального технического университета Украины «Киевский политехнический институт имени Игоря Сикорского».
Ирина также научный сотрудник лаборатории компьютерного моделирования и интеллектуального анализа данных в Мировом центре данных по геоинформатике и устойчивому развитию. К ее научным интересам относятся Анализ данных, исследование операций, оптимальное управление, устойчивое развитие, теория интегральных и дифференциальных уравнений.
Она также любит путешествовать