UW113
Data-Driven Decision-Making
Faculty Profiles
Evgeniya Korneva
Data Scientist at BOLD
Aleksandr Kharkhota
Data Analyst at Ambar Soluciones
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
Data-driven decision-making involves utilizing facts, metrics, and data to guide strategic business decisions aligned with goals, objectives, and initiatives. This course targets non-technical professionals and founders aiming to cultivate a data-driven mindset and enhance proficiency in leveraging data for strategic insights. Covering essential aspects such as data collection, analysis, visualization, and utilization of statistical methods and machine learning algorithms, the course offers a comprehensive understanding of data-driven decision-making. Through practical applications and case studies, participants gain hands-on experience in interpreting data effectively for business decisions.
Learning highlights
- Understanding the role of data in the decision-making process.
- Getting familiar with data collecting, cleaning, and storing methods.
- Learning to create clear and compelling data visualisations.
- Exploring different models for making data-driven decisions, such as predictive analytics and A/B testing.
- Understanding ethical concerns in data handling.
Course outline
15 classes
Introduction
Introduction to Data-Driven Decision Making.
Collecting and Storing Data
- How is business data collected and stored? Common data quality issues.
Business Analytics
Understanding business data. Key metrics for decision making.
Data Visualization
Principles of effective data visualization. Charts, graphs and dashboards .
Statistical Analysis, part 1
Intro to A/B testing.
Statistical Analysis, part 2
Foundations of causal inference.
Common pitfalls when working with data
Common pitfalls when working with data.
Introduction to ML
ML and AI. No-code AI tools. Introduction to APIs.
Supervised learning, part 1
Regression problems (with business examples).
Supervised learning, part 2
Classification problems (with business examples).
Unsupervised learning
Clustering, market basket analysis, etc. (with business examples).
Deep learning
Deep learning.
Evaluating ML Solutions and Future Trends
Identifying ML opportunities for your business. Ethical AI: bias, transparency, and responsible AI adoption.
Course wrap-up
Questions. Finalising projects.
Final project presentations
Final project presentations.
Prerequisites
None
Methodology
Each class is a mix of theoretical material, practical exercises and case studies.
Grading
Evgeniya was born in Moscow and got a bachelor’s degree in Applied Mathematics and Informatics from the Higher School of Economics in 2015. She then moved to Belgium to continue her education at KU Leuven, where she got a master's degree in Artificial Intelligence. In October 2016, Evgeniya joined the DTAI research group as a researcher. Evgeniya was also teaching master’s courses on Fundamentals of AI and Data Mining. For three years in a row, she won The Best Teaching Assistant prize.
Apart from that, Evgeniya volunteers as an instructor at summer schools and workshops, as well as creates educational content on programming and Machine Learning for several online learning platforms.
See full profileAleksandr is a data analyst with experience in automation for a fintech company and an educator with six years of teaching experience in various educational settings, ranging from humanity-sciences-focused students to institutions specialising in competitive programming.
With a background in Radio Engineering and certification from Yandex Lyceum, Aleksandr has also taught at SESC NSU, a high school for gifted students.
See full profileApply for this course
Data-Driven Decision-Making
by Evgeniya Korneva, Aleksandr Kharkhota
Total hours
45 Hours
Dates
Jun 30 - Jul 18, 2025
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.