Data Science, Analytics and AI course

Oleksandr Romanko

Senior Research Analyst, IBM Canada

September 7-8

From 10:00 to 18:00 (registration - at 9:30)

InnoHub

6Z, Vatslava Havela Blvd.Kyiv, Ukraine

Facebook

On September 7 — 8, Data Analytics and AI 2019 course will take place. During the course, Oleksandr Romanko will talk about the basics of data analysis, modeling, and IBM AI experience.

Oleksandr Romanko is a Senior Research Analyst at Watson Financial Services, IBM Canada, a lecturer at the University of Toronto and UCU (Ukrainian Catholic University) and KSE.

Oleksandr received a PhD and Master’s Degree in Computer Science at McMaster University (Canada), a Master’s degree in economics at Karlovo University (Czech Republic) and a specialist diploma from Sumy State University.

In 2 days you will:

  • learn how to obtain and clean data;
  • get the basic understanding of Data Science models;
  • learn how to build models using Python;
  • know how to critically analyze modeling results;
  • know how to make optimal decisions based on modeling results;

Who will be interested in:

  • junior-middle developers
  • business and financial analysts
  • junior data scientists
  • managers who would like to transform their companies based on data
  • students who seek to study real cases instead of dry theory

Special guests

Ievgen Medvedskyi

CEO, IWIS

Dmytro Lavrinenko

Director — Technology, GlobalLogic

Course Schedule

Day 1

1. Introduction to data science and analytics

  • Data science concepts
  • Application areas

2. Getting data into Python

Tincidunt elit magnis nulla facilisis. Dolor sagittis maecenas. Sapien nunc amet ultrices, dolores sit ipsum velit purus aliquet, massa fringilla leo orci.

3. Machine Learning I – linear and logistic regressions

Tincidunt elit magnis nulla facilisis. Dolor sagittis maecenas. Sapien nunc amet ultrices, dolores sit ipsum velit purus aliquet, massa fringilla leo orci.

Day 2

1. Machine Learning II – advanced classification and clustering

Tincidunt elit magnis nulla facilisis. Dolor sagittis maecenas. Sapien nunc amet ultrices, dolores sit ipsum velit purus aliquet, massa fringilla leo orci.

2. Cognitive computing and artificial intelligence

Tincidunt elit magnis nulla facilisis. Dolor sagittis maecenas. Sapien nunc amet ultrices, dolores sit ipsum velit purus aliquet, massa fringilla leo orci.

3. Visual analytics and storytelling based on analytics

Tincidunt elit magnis nulla facilisis. Dolor sagittis maecenas. Sapien nunc amet ultrices, dolores sit ipsum velit purus aliquet, massa fringilla leo orci.