Online-Development Program on Data Science: How to Effectively Use Data to Manage Your Business
- Status:new season starts September 3, 2026; 8 online modules in 2.5 hours: September 03, 08, 09, 15, 17, 22, 24, 29
- Duration:03 - 29 September
- Language: Ukrainian
- Time:17:00 - 19:30
- Fee for EBA members:19550 UAH
- Early Registration for EBA members:17000 UAH till August 03
- Place: Will be online
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Online-Development Program on Data Science: How to Effectively Use Data to Manage Your Business. Date: 03 September2026. Time: 17:00 19:30. Language: Ukrainian. Place: Will be online. The EBA Management Development Centre Team invites you to join the second stream of the Online-Development Programme “Data Science: How to Effectively Use Data for Business Management” — this is an intensive course that will help you master the features of data analysis and the application of machine learning methods and Data Science for business. The program is designed for those who seek to increase business efficiency by switching to substantiated data-based solutions.
A feature of the course is the harmonious combination of theoretical foundations with practical tasks, which allows participants to immediately apply the knowledge gained in their work.
Why to choose this program?
Understand the basics of data analytics and automated decision-making.
Learn the basics of working with software for data analysis and visualization (in particular, Excel, Power BI, R, Weka, E-views and others).
Master basic machine learning algorithms that allow you to find hidden patterns in data (train models) and use them to make effective decisions using appropriate methods and software.
You will receive practical cases and tasks to consolidate the material.
You will be able to apply Data Science methods in your work immediately after the course.
After completing the program, you will be able to improve the quality of decision-making thanks to the ability to search for hidden insights in the data available to you.
TARGET AUDIENCE
Analysts and data specialists who want to deepen their knowledge in the field of Data Science
Marketers and product managers who want to better understand customer behavior, the market situation and more effectively influence the results of their activities
Business analysts who want to expand their competencies
Entrepreneurs and business owners who are looking for effective ways to attract customers and increase the effectiveness of their marketing campaigns.
FORMAT
Online program.
8 Ukrainian-language classes.
Twice a week, 17:00 – 19:30.
PROGRAM
Module 1. Introduction to Data Science — 03.09.2026
What is Data Science and Data Mining? How are they related to artificial intelligence?
Main directions and applications.
Defining business problems and approaches to solving them using Data Science, machine learning and AI.
Data Science project: main stages and participants.
Module 2. Data visualization and development of interactive dashboards:
Block 2.1 — 08.09.2026
Using visualization tools for data analytics.
Storytelling with data: how to tell a good story from data.
Building interactive dashboards in Microsoft Power BI: basic capabilities.
Block 2.2 — 09.09.2026
Advanced dashboard building capabilities in Power BI: DAX functions, configuring complex relationships and visualizations.
Module 3. Regression data analysis
Block 3.1 — 15.09.2026
Analysis of trends, correlations, dependencies in data and basic statistical indicators.
Modeling and forecasting using regressions. Their types and application features.
Assessment of model quality and their optimization.
Block 3.2 — 17.09.2026
Construction of regression models, determination of the influence of factors and calculation of forecasts in Excel and R-Studio.
Module 4. Classification and associative rules — 22.09.2026
Classification: basic algorithms and their applications (logistic regression, decision trees, etc.).
Method of constructing associative rules for market basket analysis.
Module 5. Kohonen Clustering and Neural Networks — 24.09.2026
Clustering: object grouping methods (K-means, hierarchical clustering, etc.).
Kohonen maps as a tool for customer segmentation.
Module 6. Complex Data Science methods and artificial intelligence — 29.09.2026
Neural networks.
Ensemble models.
Genetic algorithms.
Materials that will be provided to participants: presentations,module recordings with access for 3 months.
After successfully completing the course, participants will receive a certificate of completion of the Online Development Program. Speakers. Yana Fareniuk. Doctor of Philosophy in Economics. Leading specialist in data analysis, machine learning and Data Science, marketing research. Lecturer at Taras Shevchenko National University of Kyiv, American University Kyiv, Institute of Postgraduate Education. Head of MADLAB — an analytical unit of RAZOM GROUP, which creates data-based solutions, and also develops products and services directly for clients’ needs to provide comprehensive business support and optimize their marketing activities. Has 10 years of experience in Data Science, 8 of which in the field of media and marketing. Has implemented more than 100 successful projects in mathematical modeling and machine learning for Ukrainian and international clients in key market categories, namely: pharmaceutical industry, offline and online retail, FMCG, telecom, finance and e-commerce. In 2019, Yana Fareniuks team won a bronze award at the WARC Media Awards in the Best Use of Data category, which indicates recognition of the effectiveness of Data Science in the international arena. In 2023, she defended her dissertation on the topic Modeling of Enterprise Marketing Activities Using Data Science Technologies. Author of numerous scientific articles in Ukrainian and foreign publications, indexed in the scientific metric databases Scopus and Web of Science.. You can send a question to:. Contact person:. Yuliia Hryshko. E-mail [email protected]. Contact Phone. 067 406 65 40.
About the Programme
The EBA Management Development Centre Team invites you to join the second stream of the Online-Development Programme “Data Science: How to Effectively Use Data for Business Management” — this is an intensive course that will help you master the features of data analysis and the application of machine learning methods and Data Science for business. The program is designed for those who seek to increase business efficiency by switching to substantiated data-based solutions.
A feature of the course is the harmonious combination of theoretical foundations with practical tasks, which allows participants to immediately apply the knowledge gained in their work.
Why to choose this program?
- Understand the basics of data analytics and automated decision-making.
- Learn the basics of working with software for data analysis and visualization (in particular, Excel, Power BI, R, Weka, E-views and others).
- Master basic machine learning algorithms that allow you to find hidden patterns in data (train models) and use them to make effective decisions using appropriate methods and software.
- You will receive practical cases and tasks to consolidate the material.
- You will be able to apply Data Science methods in your work immediately after the course.
After completing the program, you will be able to improve the quality of decision-making thanks to the ability to search for hidden insights in the data available to you.
TARGET AUDIENCE
- Analysts and data specialists who want to deepen their knowledge in the field of Data Science
- Marketers and product managers who want to better understand customer behavior, the market situation and more effectively influence the results of their activities
- Business analysts who want to expand their competencies
- Entrepreneurs and business owners who are looking for effective ways to attract customers and increase the effectiveness of their marketing campaigns.
FORMAT
- Online program.
- 8 Ukrainian-language classes.
- Twice a week, 17:00 – 19:30.
PROGRAM
Module 1. Introduction to Data Science — 03.09.2026
- What is Data Science and Data Mining? How are they related to artificial intelligence?
- Main directions and applications.
- Defining business problems and approaches to solving them using Data Science, machine learning and AI.
- Data Science project: main stages and participants.
Module 2. Data visualization and development of interactive dashboards:
Block 2.1 — 08.09.2026
- Using visualization tools for data analytics.
- Storytelling with data: how to tell a good story from data.
- Building interactive dashboards in Microsoft Power BI: basic capabilities.
Block 2.2 — 09.09.2026
- Advanced dashboard building capabilities in Power BI: DAX functions, configuring complex relationships and visualizations.
Module 3. Regression data analysis
Block 3.1 — 15.09.2026
- Analysis of trends, correlations, dependencies in data and basic statistical indicators.
- Modeling and forecasting using regressions. Their types and application features.
- Assessment of model quality and their optimization.
Block 3.2 — 17.09.2026
- Construction of regression models, determination of the influence of factors and calculation of forecasts in Excel and R-Studio.
Module 4. Classification and associative rules — 22.09.2026
- Classification: basic algorithms and their applications (logistic regression, decision trees, etc.).
- Method of constructing associative rules for market basket analysis.
Module 5. Kohonen Clustering and Neural Networks — 24.09.2026
- Clustering: object grouping methods (K-means, hierarchical clustering, etc.).
- Kohonen maps as a tool for customer segmentation.
Module 6. Complex Data Science methods and artificial intelligence — 29.09.2026
- Neural networks.
- Ensemble models.
- Genetic algorithms.
Materials that will be provided to participants: presentations,module recordings with access for 3 months.
After successfully completing the course, participants will receive a certificate of completion of the Online Development Program.
Trainers
Yana Fareniuk
Doctor of Philosophy in Economics. Leading specialist in data analysis, machine learning and Data Science, marketing research. Lecturer at Taras Shevchenko National University of Kyiv, American University Kyiv, Institute of Postgraduate Education. Head of MADLAB — an analytical unit of RAZOM GROUP, which creates data-based solutions, and also develops products and services directly for clients’ needs to provide comprehensive business support and optimize their marketing activities. Has 10 years of experience in Data Science, 8 of which in the field of media and marketing. Has implemented more than 100 successful projects in mathematical modeling and machine learning for Ukrainian and international clients in key market categories, namely: pharmaceutical industry, offline and online retail, FMCG, telecom, finance and e-commerce. In 2019, Yana Fareniuk's team won a bronze award at the WARC Media Awards in the "Best Use of Data" category, which indicates recognition of the effectiveness of Data Science in the international arena. In 2023, she defended her dissertation on the topic "Modeling of Enterprise Marketing Activities Using Data Science Technologies". Author of numerous scientific articles in Ukrainian and foreign publications, indexed in the scientific metric databases Scopus and Web of Science.
Yana Fareniuk
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