Foundations of Data Science

In-depth knowledge and hands-on tools to use and work with different kinds of data. Gaining practical experience across the data science pipeline by acquiring proficiency in the data science coding language R.
data dasboard displayed laptop

In this course by using R, you will learn how to get, clean, analyze and use the insights gained from data sets to make more informed decisions and better communicate your results.

Two female professionals
Who is the target audience?

Foundations of Data Science is for those who work with both structured – spreadsheets and data tables – and unstructured data and who need to understand how to automate data to gain insights, contribute to strategic discussions and make data-driven decisions.

laptop with data visualization
Why should you enroll?

Acquiring strong data literacy by knowing how to work with data will make you a valuable asset for any employer in a data-driven world. More than 75% of companies are looking to adopt data-driven technologies in the next five years. Basic data literacy is becoming a requirement across functions and levels. This is not just for career advancement, but increasingly for job security.

screen full of people on a video call
Join a free class

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.

Interested in learning more about our programs? 

Course curriculum

The Foundations of Data Science course gives you the essential knowledge, vocabulary and skills for data management and communication. With video trainings, written lessons and hands-on exercises, you’ll gain a broad understanding of the tools and techniques used to work with data.

What is Data: Learn about data types, structures and frameworks 

Interacting with Data: Understanding how data is used and how to use data 

Where Data comes from: The processes for acquiring and sharing Data 

Storing & Structuring Data: Working with different types of databases and data sets 

Cleaning Data: Working with messy or incomplete data sets 

Analyzing Data: Gaining insights with data science techniques and tools 

Visualizing Data: Best practices and tools for data visualization and presentation 

Machine Learning & Artificial Intelligence: How data is used by machines 

Working as a Data Scientist: What do data scientists really do? 

Data & Society: Ethics and the uses of data in society 

These course details are subject to change; please refer to the program outline at the time of registration.


This course is taught at beginner-level. You should have the following tools, skills and abilities prior to registering for this course:

  • English at B1 level
  • A computer with a webcam, microphone and a minimum internet connection of 2Mbps download / 512kbps upload, enabling you to stream videos with sound and to effectively participate in video chats

The monthly subscription fee is CHF 390.-

Please contact us if you would like to request a quote or to pay a flat fee for the duration of the course: [email protected]

The course is estimated at 150 hours. Your completion time will depend on how much time you can dedicate to your learning experience each day/week/month.

All of our programs consist of video trainings, written lessons and hands-on exercises. This course, like all the courses and programs at the Extension School, is based on hands-on project work. The course projects are based on the learning materials provided in the course and give you the opportunity to demonstrate that you have acquired the skills taught in the program

Our course and programs are all self-paced; as such you can start learning immediately. Simply create your learner account using the link below to get the ball rolling:

Please note that we do reserve the right to limit the number of enrollments at any given time to ensure that our course instructors are in a position to provide the high-quality and personalized support that each of our learners deserve. If this is the case you will be informed about the next available start date.    

You’ll be taken to our secure enrollment site, where you will need to provide the following information:

  • Personal information including your name, current address and date of birth;
  • Valid credit card details;
  • Valid form of government-issued, photo ID that matches your registration name. In general, we accept passports and driver’s licenses.

Ready to start learning ?