## Math for Data Science workshop

### 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

## Iryna Lazarenko

One of the Lead Instructors at DEVrepublik boot camp and PhD in Mathematics
Iryna is a Senior Lecturer at the Department of Mathematical Modeling for Economic Systems at the National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic Institute. She is also a Scientist at the Laboratory for computer modelling and intelligent data analysis at the World Data Center for geoinformatics and sustainable development
Her research interests are Data Analysis, Data Mining, Operation Research, Optimal Control, Sustainable Development, Theory of Integral and Differential Equations.
She loves travelling a lot.