Online Development Program on Data Science: How to Effectively Use Data to Manage Your Business

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About the Programme

The EBA Management Development Centre Team invites you to the Online-Development Program “Data Science: How to Effectively Use Data to Manage Your Business” which is an intensive course that will help you master the specifics of data analysis and the application of machine learning and Data Science methods for business. The program is designed for those who seek to increase business efficiency by transitioning to informed data-based solutions.  

A feature of the course is the harmonious combination of theoretical foundations with practical tasks, which allows participants to apply the knowledge gained in their work immediately. 

Why 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 (including Excel, Power BI, R, Weka, E-views and others).  
• Master basic machine learning algorithms, which allow, through the use of appropriate methods and software, to find hidden patterns in data (train models) and use them to make effective decisions..  
• Get practical cases and tasks to consolidate the material.  
• Be able to apply Data Science methods to 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 seeking 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 seeking to expand their competencies.
• Entrepreneurs and business owners looking for effective ways to attract customers and increase the effectiveness of their marketing campaigns.  

FORMAT  

• Online program.  
• 6 Ukrainian-language modules.  
• 5:00 PM – 7:30 PM  

TRAINER: 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.  

PROGRAM  

Module 1. Introduction to Data Science — September 2rd 

• What is Data Science and data mining? Main areas and applications.  
• Defining business problems and approaches to solving them using Data Science.  
• Data Science project: main stages and participants.  

Module 2. Data visualization and development of interactive dashboards — September 3^th

• Using visualization tools for data analytics.  
• Storytelling with data: how to tell a good story from data.  
• Building interactive dashboards in Microsoft Power BI.  

Module 3. Regression analysis — September 9^th 

• Analysis of trends, correlations, dependencies in data and basic statistical indicators.
• Modeling and forecasting using regressions. Their types and application features. Model quality assessment and optimization.
• Building regression models, determining the influence of factors and calculating forecasts in Excel and R-Studio.

Module 4. Clustering and classification — September 10^th 

• Clustering: methods for grouping objects (K-means, hierarchical clustering, etc.).  
• Classification: basic algorithms and their applications (logistic regression, decision trees, etc.).  

Module 5. Neural networks and associative rules — September 16^th 

• Neural networks.  
• Kohonen maps as a tool for customer segmentation.  
• Method for building associative rules for market basket analysis.  

Module 6. Complex Data Science Methods — September 17^th 

• Ensemble models.  
• Genetic algorithms.  

After successful completion of the course, participants will receive a certificate of completion of the Online Development Program. 

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