Elements of data science

20250068
Computer Science and ICT, Data, AI

About this course

In this course, you will gain practical experience across the data science pipeline by learning the basics of the coding language R and the Tidyverse. You will work with tabular data and by the end of it, you will be able to create reports using R markdown where code and text smoothly coexist.

Learning outcomes

Automate data gathering, analysis and reporting to gain insights, contribute to strategic discussions and make data-driven decisions.

Enrolment details

Join us for a complimentary online session where we will provide a high-level overview of how to automate data to gain insights and how to produce data-driven storytelling, including an overview of the online courses available to gain these sought-after skills.

Assessment

Nongraded

Course requirements

Technical professionals, Managers. Elements of Data Science is for those who already work with structured data—spreadsheets and data tables—and who need to understand how to automate data workflows to gain insights, contribute to strategic discussions and make data-driven decisions. We suggest you have the following tools, skills and abilities before registering for this course: English at B1 level, computer with a webcam, microphone and a stable internet connection.

Additional information

Life Long Learning course
35 hours
  • Form of participation
    Online

Starting dates

  • 24 Sept 2025

    ends 31 Dec 2025

    Price
    390 CHF/month
    LanguageEnglish
    Register before 31 Dec, 23:59