{"id":706863,"date":"2026-01-23T12:14:21","date_gmt":"2026-01-23T10:14:21","guid":{"rendered":"https:\/\/eba.com.ua\/?post_type=tribe_events&#038;p=706863"},"modified":"2026-06-08T14:24:54","modified_gmt":"2026-06-08T11:24:54","slug":"online-programa-rozvytku-z-data-science-yak-efektyvno-vykorystovuvaty-dani-dlya-upravlinnya-biznesom-kopiya-2026-01-23-12-14","status":"publish","type":"tribe_events","link":"https:\/\/eba.com.ua\/en\/event\/online-programa-rozvytku-z-data-science-yak-efektyvno-vykorystovuvaty-dani-dlya-upravlinnya-biznesom-kopiya-2026-01-23-12-14\/","title":{"rendered":"[:ua]Online-\u041f\u0440\u043e\u0433\u0440\u0430\u043c\u0430 \u0440\u043e\u0437\u0432\u0438\u0442\u043a\u0443 \u0437 Data Science: \u044f\u043a \u0435\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0434\u0430\u043d\u0456 \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0456\u043d\u043d\u044f \u0431\u0456\u0437\u043d\u0435\u0441\u043e\u043c[:en]Online-Development Program on Data Science: How to Effectively Use Data to Manage Your Business[:]"},"content":{"rendered":"<p><\/p>\n<p>The EBA Management Development Centre Team invites you to join the second stream of the <strong>Online-Development Programme<\/strong> <strong>\u201cData Science: How to Effectively Use Data for Business Management\u201d<\/strong> \u2014 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.<\/p>\n<p>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.<\/p>\n<p><strong>Why to choose this program?<\/strong><\/p>\n<ul>\n<li>Understand the basics of data analytics and automated decision-making.<\/li>\n<li>Learn the basics of working with software for data analysis and visualization (in particular, Excel, Power BI, R, Weka, E-views and others).<\/li>\n<li>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.<\/li>\n<li>You will receive practical cases and tasks to consolidate the material.<\/li>\n<li>You will be able to apply Data Science methods in your work immediately after the course.<\/li>\n<\/ul>\n<p>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.<\/p>\n<p><b>TARGET AUDIENCE<\/b><\/p>\n<ul>\n<li>Analysts and data specialists who want to deepen their knowledge in the field of Data Science<\/li>\n<li>Marketers and product managers who want to better understand customer behavior, the market situation and more effectively influence the results of their activities<\/li>\n<li>Business analysts who want to expand their competencies<\/li>\n<li>Entrepreneurs and business owners who are looking for effective ways to attract customers and increase the effectiveness of their marketing campaigns.<\/li>\n<\/ul>\n<p><b>FORMAT<\/b><\/p>\n<ul>\n<li>Online program.<\/li>\n<li>8 Ukrainian-language classes.<\/li>\n<li>Twice a week, 17:00 \u2013 19:30.<\/li>\n<\/ul>\n<p><b>PROGRAM<\/b><\/p>\n<p><b>Module 1. Introduction to Data Science \u2014 05.10.2026<\/b><\/p>\n<ul>\n<li>What is Data Science and Data Mining? How are they related to artificial intelligence?<\/li>\n<li>Main directions and applications.<\/li>\n<li>Defining business problems and approaches to solving them using Data Science, machine learning and AI.<\/li>\n<li>Data Science project: main stages and participants.<\/li>\n<\/ul>\n<p><b>Module 2. Data visualization and development of interactive dashboards:<\/b><\/p>\n<p><b>Block 2.1 \u2014 07.10.2026 <\/b><\/p>\n<ul>\n<li>Using visualization tools for data analytics.<\/li>\n<li>Storytelling with data: how to tell a good story from data.<\/li>\n<li>Building interactive dashboards in Microsoft Power BI: basic capabilities.<\/li>\n<\/ul>\n<p><b>Block 2.2 \u2014 12.10.2026 <\/b><\/p>\n<ul>\n<li>Advanced dashboard building capabilities in Power BI: DAX functions, configuring complex relationships and visualizations.<\/li>\n<\/ul>\n<p><b>Module 3. Regression data analysis<\/b><\/p>\n<p><b>Block 3.1 \u2014 14.10.2026 <\/b><\/p>\n<ul>\n<li>Analysis of trends, correlations, dependencies in data and basic statistical indicators.<\/li>\n<li>Modeling and forecasting using regressions. Their types and application features.<\/li>\n<li>Assessment of model quality and their optimization.<\/li>\n<\/ul>\n<p><b>Block 3.2 \u2014 19.10.2026 <\/b><\/p>\n<ul>\n<li>Construction of regression models, determination of the influence of factors and calculation of forecasts in Excel and R-Studio.<\/li>\n<\/ul>\n<p><b>Module 4. Classification and associative rules \u2014 21.10.2026 <\/b><\/p>\n<ul>\n<li>Classification: basic algorithms and their applications (logistic regression, decision trees, etc.).<\/li>\n<li>Method of constructing associative rules for market basket analysis.<\/li>\n<\/ul>\n<p><b>Module 5. Kohonen Clustering and Neural Networks \u2014 26.10.2026 <\/b><\/p>\n<ul>\n<li>Clustering: object grouping methods (K-means, hierarchical clustering, etc.).<\/li>\n<li>Kohonen maps as a tool for customer segmentation.<\/li>\n<\/ul>\n<p><b>Module 6. Complex Data Science methods and artificial intelligence \u2014 28.10.2026 <\/b><\/p>\n<ul>\n<li>Neural networks.<\/li>\n<li>Ensemble models.<\/li>\n<li>Genetic algorithms.<\/li>\n<\/ul>\n<p><strong>Materials that will be provided to participants: <\/strong>presentations,module recordings with access for 3 months.<\/p>\n<h4><strong>Invitation from the trainer<\/strong><\/h4>\n<p><iframe loading=\"lazy\" title=\"Data Science\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/QDA18NdzX88?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>After successfully completing the course, participants will receive a certificate of completion of the Online Development Program.<\/p>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>The EBA Management Development Centre Team invites you to join the second stream of the Online-Development Programme \u201cData Science: How to Effectively Use Data for Business Management\u201d \u2014 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. 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