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Data Tools_Financial Managemen

Data Tools for Financial Management

Modern finance leaders must be fluent in data. This course develops the analytical mindset and technical toolkit needed to turn complex financial and economic data into actionable insights. Participants learn how to extract and structure data from diverse sources, apply statistical and econometric models, and present findings using Excel, Power BI, and Python. By the end of the course, learners can support high-stakes financial decisions with clarity, precision, and credibility.

Practical info

Time

Mar 14, 2026 - Apr 10, 2026

Capacity

3 ECTS (78 academic hours, of which 16 in classroom, 62 individual work, and 0 practical work)

Prerequisites

  • Bachelor’s degree or equivalent qualification.
  • At least 3 years of work experience in business or entrepreneurship
  • Prior studies or experience in finance or economics. Or knowledge of finance, accounting and statistics.
  • Participants from non-EU countries must already hold a valid temporary residence permit. No permit will be issued for short courses.

Study Level

Current course belongs to Master's study level

Language

The lectures and study materials are in English.

Method

In class - Students meet with the instructor in class at regularly scheduled times.

Price

€565

Location

EBS University, A.Lauteri 3, Tallinn

This course gives you practical skills in financial data analysis using Excel, Power BI, and Python. You'll learn to turn data into insights and support smart decisions, essential for today’s tech-savvy finance professionals

The course builds a strong foundation in analytical thinking and data literacy, enabling finance professionals to confidently navigate complex datasets, collaborate across functions, and contribute to strategic decision-making in a tech-driven business environment

Who is Data Tools for Financial Management intended for?

This course is intended for finance professionals, auditors, business analysts, entrepreneurs, and career changers who want to strengthen their data-driven financial analysis, reporting, and decision-making skills using modern tools.

Topics Covered

Digital tools and financial data sources—including APIs, databases, and reporting platforms—are used throughout the learning process. The course applies software tools such as Excel, Power BI, and Python (including the Pandas and Matplotlib libraries). Participants are expected to have a laptop with at least 8GB of RAM and the following installed: Microsoft Office (Excel required), Power BI Desktop (free), and a functioning Python environment with Pandas and Matplotlib libraries.

Certificate

Participants who complete the course will receive a continuing education certificate with ECTS credits.

Course structure

The course takes place over two full days, with sessions running from 10:00 to 17:15 each day and includes a 45-minute break.

Purchase access to course

Data Tools for Financial Management starts at Mar 14, 2026

Course details

Purchase access to course

Course Date

14.03.2026 - 10.04.2026

Calendar

Course Instructor

Samuli Saarinen_PhD student

Samuli Saarinen

PhD Student / AML Analyst

Samuli holds a Bachelor's and Master's degree in International Business Administration from Estonian Business School, with a specialization in Finance and Accounting, and is currently pursuing a PhD in Management. His academic focus lies in applying statistical models and automation to anti-money laundering (AML) and workforce optimization.

Price

€565

VAT will not be added to course price

Purchase access to course

Data Tools for Financial Management

Modern finance leaders must be fluent in data. This course develops the analytical mindset and technical toolkit needed to turn complex financial and economic data into actionable insights. Participants learn how to extract and structure data from diverse sources, apply statistical and econometric models, and present findings using Excel, Power BI, and Python. By the end of the course, learners can support high-stakes financial decisions with clarity, precision, and credibility.

Learning Journey Advisor

Kadri Osula

Learning Journey Advisor

kadri.osula@ebs.ee
Kursus on osa mikrokraadist