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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

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15h ( 2.5 days)
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€800 - €1,375
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Online
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English
Program date: February 17 - 19, 2025
Applications closing soon: February 13, 2025
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Learn more
Data Science for Economics
Applications for 2025 Executive Education courses are now open!
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Explore the intersection of data science and economics in this 15-hour online course.

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 online to suit different schedules and timezones.

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

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  • 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.

Testimonials

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Konstantinos Pouliakas

As a researcher/professional of an EU agency, I was in need of a fast and succinct introduction to the principles of Machine Learning and Data Science. The course was very rigorous and covered targeted material and Python programs that may act as a springboard for more reading and learning on the topic…The course did a good job highlighting to potential Data Scientists that one needs rigorous theoretical understanding of the behavioral models, as opposed to simply programming some lines of code. I would highly recommend the course to professionals who, like myself, do not have the luxury of time due to family or other constraints to attend lengthy courses and lectures.

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LA
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Liudmila Alekseeva

I enjoyed the BSE Data Science course. It met all of my expectations. I got an excellent overview of the theory and methods in Data Science with the use of Python. Intensive lectures, practical examples, and the individual projects we completed made the learning process very effective. I also appreciate that the professor not only gave us tools, but also explained the theory underlying them and the potential problems related to their implementation. After this course, I did not become a professional data scientist in Python at once, but the course gave me a fast start and a great motivation to continue developing in this field.

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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

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Time
Session
9:15-9:30
Introduction
09:30 - 11:00
Missing Data and Visualization
Break
11:30 - 13:00
Linear Regression
Break
14:30 - 16:00
Penalized Regression Models
Break
16:30 - 18:00
Classification

Day 2

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Time
Session
09:30 - 11:00
Random Forests + Boosting
Break
11:30 - 13:00
k-Nearest Neighbors and CART
Break
14:30 - 16:00
Clustering and PCA
Break
16:30 - 18:00
Intro to R

Day 3

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Time
Session
09:30 - 11:00
Supervised Learning in R
Break
11:30 - 13:00
Unsupervised Learning in R

Certificate and Fees

Certificate

Participants who attend at least 80% of the course will receive a Certificate of Attendance free of charge. Participants will not be graded or assessed during the course.

Fees

A 10% discount applies when the confirmation payment is completed on or before the announced Early Bird deadline.

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

Fees for courses in other Executive Education programs may vary.

Course
Data Science for Economics
Modality
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

Need more information? Check out our most frequently asked questions

How much does each Executive Education course cost?

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

Are there any discounts available?

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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.

Can I take more than one course?

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Yes! you can combine any of the Executive Education courses (schedule permitting). See the full calendar here.

Cancelation and Refund Policy

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Please consult BSE Executive Education policies for more information.

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