Data Analysis for Business Decisions
Data is only valuable when it leads to better decisions. Data Analysis for Business Decisions develops the practical and analytical skills needed to work with data confidently — from understanding and preparing data to identifying relationships, testing hypotheses, forecasting, and interpreting results. The course strengthens statistical and critical thinking, helping professionals avoid common analytical mistakes and use data more effectively in business and finance.
Data Analysis for Business Decisions is in preparation
If interested, add your email to the waiting list and we'll send you a notification when the course details are ready and registration is possible.
From Data to Better Business Decisions
The course provides a structured understanding of the data analysis process, from preparing data to interpreting statistical results and forecasts. Participants gain practical knowledge of descriptive statistics, frequency distributions, data visualisation, Pivot Tables, regression and correlation analysis, and hypothesis testing.
The course helps participants understand not only how analytical methods work, but also when to use them and how to interpret the results in a business context. Particular attention is given to critical thinking and common mistakes in working with data, supporting more informed and evidence-based decision-makin
Who is Data Analysis for Business Decisions intended for?
The course is designed for specialists, analysts, and professionals with managerial responsibilities whose work involves understanding, analysing, or using data to support decision-making. It is also suitable for professionals who want to strengthen their statistical thinking and apply data analysis methods to business- or finance-related problems.
Prerequisites: Basic knowledge of business mathematics is required. Familiarity with economic functions, derivatives, linear equations, matrix calculations, interest calculations, and basic mathematical modelling is recommended.
Explore the course
The course combines face-to-face learning, where possible synchronous online sessions, and guided independent work. Teaching includes practical examples, worked exercises, and presentations that help participants understand how different data analysis methods are applied.
The focus is not only on performing analysis, but also on understanding when to use a method and how to interpret the results for business decision-making.
Registration opens on December 20, 2026. The course takes place from February to May 2027.
Topics Covered
Why is it important?
The quality of data analysis depends on how data is prepared and on the assumptions used when interpreting it. Common mistakes in working with data can lead to results that appear correct but are misleading in practice.
What will happen?
The session covers the fundamentals of data analysis, quantitative research, data manipulation, sample size, hypothesis testing, and critical thinking.
Why is it important?
In business, it is often necessary to understand how different variables are related and to what extent existing data can be used to forecast future developments. Regression and correlation analysis provide structured ways to assess these relationships.
What will happen?
The session covers linear regression, correlation, and the use of data for forecasting.
Why is it important?
Before drawing more advanced conclusions, it is important to structure data and identify patterns, distributions and deviations. Well-chosen descriptive measures and visualisations help make large amounts of data easier to understand and interpret.
What will happen?
The session covers frequency distributions, graphical presentation of data, Pivot Tables, descriptive statistics, and the normal probability distribution.
Why is it important?
Data analysis skills develop through practical application. Pivot Tables and histograms make it possible to structure data efficiently, compare groups and identify important patterns in distributions.
What will happen?
The session focuses on Pivot Tables and histograms and includes an online test.
Why is it important?
In business decision-making, it is not enough to observe that a difference or relationship appears to exist in the data. Hypothesis testing helps assess whether the evidence is strong enough to support a particular conclusion.
What will happen?
The session covers hypotheses, hypothesis testing, and the use of statistical results in decision-making.
Entry requirements
- High School Education or equivalent qualification.
- Basic knowledge of business mathematics is required, including economic functions, derivatives, linear equations, matrix calculations, interest calculations, and basic mathematical modelling. Familiarity with Excel is recommended.
- Valid temporary residence permit or EU citizenship.
Learning Outcomes
Upon completion of the course the student:
1. Develops an overview of the concepts of statistical and data analysis used in business and finance. (Knowledge)
2. Applies data analysis models to real-life business situations. (Application)
3. Discusses the findings of data and business analysis. (Social)
4. Refines statistical thinking to solve specialisation related problems. (Individual)
5. Demonstrates statistical thinking in business communication. (Transferable)
Course completion requirements
To complete the course, students must complete the homework, test, and exam. A passing result starts from 51%.
Certificates Awarded
Participants who complete the course will receive a continuing education certificate with ECTS credits.
Learning Environment
The course takes place at EBS’s modern campus in Tallinn, Lauteri 3. Students have access to ergonomic classrooms, the EBS library, and the cloud-based Canvas learning platform. The study process is supported by online tools such as Zoom, MS Teams, or Canvas Conference. Free Wi-Fi is available throughout the building. On-site attendance is required.
Data Analysis for Business Decisions is in preparation
If interested, add your email to the waiting list and we'll send you a notification when the course details are ready and registration is possible.
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