Introduction to Python and R Programming for Data Science

Learn with our expert faculty

facultyChristian Brownlees
PhD, University of Florence
UPF and BSE

Director
facultyPaul Rognon

PhD Student, UPF and UPC

Instructor

Course overview

This is an 8-hour online 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.

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

You will also get the required preparation for other upcoming courses in our Executive Education Courses such as Foundations of Data Science and the Data Science Summer School courses: Foundations of Data Science and the more advanced Using Text as Data: Methods and Applications and Deep Learning and Applications

After successful completion of this course you will have:

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

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

This course is based on a hands-on, interactive approach using Jupyter notebooks . You will be encouraged to engage with the material, experiment and directly interact with the lecturer.

This course will be taught online but it will be live and interactive.

INTENSIVE COURSE

Introduction to Python and R Programming for Data Science

Applications will open soon!
  ONLINE
Regular Fee 525 €
Reduced Fee 300 €

10% early-bird discount applies to payments made on or before February 14, 2023 at 23:59 (CET)

See below for reduced fee eligibility


Early-bird payment deadline: February 14, 2023

  ONLINE
Regular Fee 525 €
Reduced Fee 300 €

10% early-bird discount applies to payments made on or before February 14, 2023 at 23:59 (CET)

See below for reduced fee eligibility


Last day to apply: March 9, 2023

  ONLINE
Regular Fee 525 €
Reduced Fee 300 €

10% early-bird discount applies to payments made on or before February 14, 2023 at 23:59 (CET)

See below for reduced fee eligibility

This edition is closed. Next edition TBA.

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