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Data Science

Data Science for Economics

Get an introduction to basic but important concepts in Data Science and Machine Learning for Economics

15h ( 2.5 days)

€800 - €1,375

Face-to-Face or Online

English

Program date: February 17 - 19, 2025

Early bird deadline: January 7, 2025

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Data Science for Economics

Applications for 2025 Executive Education courses are now open!

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Executive education

Data Science

Data Science for Economics

Explore the intersection of data science and economics in this 15-hour online course.

Teaching Faculty

Discover what makes this Data Science course exceptional

1

Comprehensive Data Science Training: Covers data handling, visualization, supervised and unsupervised learning tailored for economic applications.

2

Hands-on Practice with Jupyter Notebooks: Practical coding experience in Python and R, key for data science roles.

3

Instruction from Expert Faculty: Led by academics with robust experience in data science and economics.

4

Flexible Format: Available both online and in-person to suit different schedules.

5

Economics focus: Learn how data science and economics intersect at one of Europe's top institutions.

The course covers topics that will be standard in 5 years. Students and practitioners must master these now.

Who attends BSE Executive Education courses in Introductory Data Science?

Young professionals with a Master’s in economics or finance but no experience in data science.
PhD students who want to complement her/his training with machine learning and data science techniques.

Become familiar with the most important techniques used by data scientists

This program has been designed for economists who want to enhance their data science skills and who in particular want to:

Work with and extract valuable insights from real data.
Improve programming skills in two of the most used programming languages in data science.
Learn skills to understand some of the key methods, used by data scientists, as well as their limitations.
Gain practical experience in applying these methods to large and heterogeneous data.

Program Syllabus for Data Science for Economics

The next edition of Data Science for Economics covers the following topics:

Missing Data and Visualization

Linear Regression

Penalized Regression Models

Classification

Random Forests + Boosting

k-Nearest Neighbors and CART

Clustering and PCA

Intro to R

Supervised Learning in R

Unsupervised Learning in R

List of References

Books

The Elements of Statistical Learning. T. Hastie, R. Tibshirani, and J. Friedman. Springer Series in Statistics Springer New York Inc., New York, NY, USA, (2001)
An Introduction to Statistical Learning: with Applications in R, G. James, D. Witten, T. Hastie, R. Tibshirani, Springer Series in Statistics Springer New York Inc., New York, NY, USA, (2021)

Why should you attend BSE Executive Education courses?

All BSE Executive Education courses are taught to the same high standard as our Master’s programs.

1

Network with like-minded peers from around the world.

2

Short courses allow you to learn without a big time commitment.

3

Try something new and expand your knowledge and career prospects.

Admissions

Considering taking part in BSE Data Science for Economics Executive Education course? Check you meet the requirements below:

Course start date: February 17, 2025

Deadline to apply: February 13, 2025

Requirements

Candidates are assessed on an individual basis according to their professional or academic background.

Requirements for Data Science in Economics

Prior familiarity with Python, R, Jupyter Notebooks, and matrix algebra is recommended for optimal participation in this course.
Students must have their own laptop or desktop computer and a stable internet connection to participate and benefit from the course fully.

Get up to speed on the latest developments in data science in a short time.

Apply now

Here is your course Schedule!

The times listed are Central European Time (CET). Compare with your time zone on time.is

Instructors, topics, and schedules are subject to change.

Day 1

Time

Session

9:00-9:30

Registration

09:30 - 11:00

Missing Data and Visualization

Coffe Break

11:30 - 13:00

Linear Regression

Lunch

14:30 - 16:00

Penalized Regression Models

Coffe Break

16:30 - 18:00

Classification

Day 2

Time

Session

09:30 - 11:00

Random Forests + Boosting

Coffee Break

11:30 - 13:00

k-Nearest Neighbors and CART

Lunch

14:30 - 16:00

Clustering and PCA

Coffee Break

16:30 - 18:00

Intro to R

Day 3

Time

Session

09:30 - 11:00

Supervised Learning in R

Coffee Break

11:30 - 13:00

Unsupervised Learning in R

Certificate and Fees

Certificate

Participants will receive a Certificate of Attendance free of charge.

Fees

Fees for courses in other Executive Education programs may vary.

Multiple course discounts are available. Find out more information in our Fees and Discounts pdf.

Course

Data Science for Economics

Modality

Face-to-Face or Online

Total Hours

15h

Regular Fee

1,375€

Reduced Fee*

800€

* Reduced Fee applies for PhD or Master’s students, Alumni of BSE Master’s programs, and participants who are unemployed.

FAQ’s

Need more information? Check out our most frequently asked questions

Is accommodation included in the course fee?

Accommodation is not included in the course fee. Participants are responsible for finding accommodation.

How much does each Executive Education course cost?

Fees for each course may vary. Please consult each course page for accurate information.

Are there any discounts available?

Yes, BSE offers a variety of discounts on its Executive Education courses. See more information about available discounts or request a personalized discount quote by email.