Data Science, Analytics and AI course
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
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3. Machine Learning I – linear and logistic regressions
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Day 2
1. Machine Learning II – advanced classification and clustering
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2. Cognitive computing and artificial intelligence
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3. Visual analytics and storytelling based on analytics
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