Data, Analytics and AI for Managers
Understand what data, analytics and AI can and cannot do, and frame good analytical questions. Read results critically and lead AI projects that deliver.
Practical info
Course Date
28.01.2027 - 01.04.2027
Jan 28, 2027 - Apr 01, 2027
Apr 19, 2027 - Jun 14, 2027
Apr 21, 2027 - Jun 16, 2027
Capacity
78 academic hours (including 27 in classroom and 51 individual work)
Language
Estonian and english
Method
In class
Estonian-language group: Thursdays 16:00–19:00, no session in the week of 22.02.2027, the session on 04.03.2027 is a company visit.
All times are Estonian time
Location
EBS University, A.Lauteri 3, Tallinn
Price
€1,190 + VAT
Lead with data and AI
Managers do not need to code, but they do need to ask the right questions of data and AI, judge the answers and lead projects that use them.
In this course you learn the basics of data, statistics and machine learning, how generative AI works and where it fails, how to frame and run an analytics or AI project, and how to handle data quality, privacy and the EU AI Act. You also visit a data-driven company.
By the end of the course you will have an AI or analytics business case for your organisation: problem, data, approach, risks, AI Act check and value.
This course is the second step of the learning path “Leading with AI”. Also explore “AI at Work: A Practical Toolkit for Managers” and “Leading the AI-Ready Organisation”.
Who is Data, Analytics and AI for Managers intended for?
The course is designed for managers of all functions and entrepreneurs.
No coding is needed. We recommend completing “AI at Work: A Practical Toolkit for Managers” first or having basic experience with AI tools.
The course runs in two parallel groups: in Estonian on Wednesdays and in English on Mondays.
Explore the course
The course combines nine sessions at EBS (one of them a company visit), independent work and practical assignments. You apply the topics to a real challenge in your own organisation.
Topics Covered
Understand how data, analytics and AI fit together.
- Data, analytics and AI
- Data basics
Learn how machine learning and generative AI work and where they fail.
- Machine learning
- Generative AI
- Company visit: a data-driven company
Frame business questions and plan an analytics or AI project.
- Framing an AI project
- Reading and challenging analyses and AI outputs
Handle data, privacy and AI Act requirements and lead adoption.
- Risk, privacy and the AI Act
- Leading AI adoption
You build an AI or analytics business case for your organisation: problem, data, approach, risks, AI Act check and value.
Learning outcomes
By the end of the course you will be able to:
- explain how data analysis, machine learning and generative AI work and where they fail;
- frame business questions that data and AI can answer;
- read and challenge analyses, dashboards and AI outputs;
- plan and lead an analytics or AI project, including data, privacy and AI Act requirements.
Meet the other participants
In week 5 we visit a data-driven company. The same week there is also a joint evening at EBS, where you can get to know the other participants and share experiences.
Completion and feedback
During the course you complete practical assignments, give and receive peer feedback, and complete two milestones and a final project:
- milestone 1: data and AI opportunity map;
- milestone 2: draft business case;
- final project: AI or analytics business case
You receive written feedback on each milestone within seven days. There are no exams or grades.
To complete the course and receive the certificate, you must attend at least seven of the nine sessions and present your final project.
Certificate
On completing the course you receive an EBS executive education certificate.
Learning environment
Sessions take place in EBS classrooms. Canvas is used for independent work.
Changes and cancellation
EBS reserves the right to change the content, schedule, format, location and lecturers of the course or learning path before it starts. If the minimum number of participants is not reached, EBS may postpone or cancel the course; registered participants will be informed in good time and any fees paid will be refunded in full.
Register for the course
Method
Students meet with the instructor in class at regularly scheduled times.
Estonian-language group: Thursdays 16:00–19:00, no session in the week of 22.02.2027, the session on 04.03.2027 is a company visit.
All times are Estonian time
Payment options
- Payment by invoice or bank link
- Would you like to split the invoice? Part can be issued to a company and the rest to an individual.
Data, Analytics and AI for Managers
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