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Data Science

Coding Bootcamp in Python and R

An immersive introduction to programming for data analysis and machine learning.

8h (1 day)

€350 - €600

Face-to-face

English

Course date: June 29, 2025

Early bird deadline: April 15, 2025

Learn more

Coding Bootcamp in Python and R

Applications for 2025 Summer School programs are now open!

Summer school

Data Science

Coding Bootcamp in Python and R

Course Overview

This is an 8-hour course that provides an introduction to programming with Python and R for data analysis and machine learning. The course is taught with a hands-on approach via Jupyter notebooks.

This course has been specifically designed to provide you with the coding skills that are essential for training in data science. If you are interested in mastering this area and learning the tools to apply modern machine learning techniques – from data exploration to building predictive models and extracting insights – this course is the ideal preparation to get started.Our 8-hour Coding Bootcamp in Python and R is an immersive introduction to programming for data analysis and machine learning.

Whether you’re striving to master the field or seeking to apply modern machine learning techniques, from data exploration to predictive modeling and insights extraction, this course is your ideal starting point.

Faculty

Get professional training in the most popular programming languages for data analysis and machine learning

This course has been designed for:

Graduate students who want to learn or improve their coding skills
Individuals who want to learn Python and R for data analysis
Professionals who want to improve their knowledge of popular programming languages

Get up to speed with the latest developments in Data Science in a short period

After successful completion of this course you will have:

Learned the two main languages used in data science: Python and R
Learned how to use state-of-the-art packages in Python and R for data manipulation
Gained practical experience in manipulating data in Python and R

Program Syllabus for BSE Coding Boot Camp

Check out the topics that will be covered in the course below.

Programming with Python

Running Python with Jupyter
Basic variables: Numbers and strings
Basic operations
Loops, control flow
Data structures: Lists, maps, reductions
Functions and classes
Inputs and outputs
String manipulation
Date/time manipulation
Special packages: panda and numpy

Programming with R

Running R with Jupyter
Basic variables: Numbers and strings
Basic Operations
Loops, control flow
Data structures: Lists, vectors, matrices, data frames
Functions
Inputs and outputs
String manipulation
Date/time manipulation
Basic data visualization
Special packages: ggplot2, dplyr

List of References

Here is a list of main references to help you prepare for the course.

Books

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).

Software / Hardware

The course is based on Jupyter Notebooks that can be run in Google Colab
Participants are required to have their own laptop to participate in this course

Why join our Summer School?

All BSE Summer courses are taught to the same high standard as our Master’s programs. Join us to:

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 expand your knowledge and career prospects, and advance your thesis

Admissions and Requirements

Before submitting your application please check you meet the following admission criteria.

Course date: June 29, 2025

Early bird deadline: April 15, 2025

Requirements

Summer School applicants normally demonstrate one or more of the following:

A strong background in Economics or a field closely related to the course topic (Statistics, Law, etc.)
Postgraduate degree or current Master’s/PhD studies related to the course topic
Relevant professional experience

Requirements for Coding Bootcamp in Python and R

Although not mandatory, some knowledge of Python, Jupyter notebooks, and matrix algebra is recommended

Schedule

Here is your schedule for this edition of BSE Data Science Summer School, Coding Bootcamp in Python and R course.

Time

29

mon

09:00 - 13:00

Session 1

14:00 - 18:00

Session 2

Credit Transfers (ECTS)

ECTS are not available for this course.

Certificate of Attendance

Participants who attend more than 80% of the course will receive a Certificate of Attendance, free of charge.

Fees

Fees for courses in other Summer School programs may vary. Multiple course discounts are available, consult our fees and discounts to find out more.

Course

Coding Bootcamp in Python and R (8h day)

Foundations of Data Science

Harnessing Language Models: Your Path to NLP Expert

Statistical Machine Learning for Large and Unstructured Data

Modality

Face-to-face

Total Hours

8

10

ECTS

0

1

Regular Fee

600€

1,450€

Reduced Fee*

350€

850€

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

FAQ

Here are some commonly asked questions by participants or contact our Admissions Team.

Can I see the full Summer School calendar?

You can view the full Summer School calendar here.

Is accommodation included in the course fee?

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

Are the sessions recorded?

Sessions will NOT be recorded; however, the materials provided by the professor will be available for a month after the course has finished.

How much does each Summer School 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 Summer School courses. See more information about available discounts or request a personalized discount quote by email.