Program Overview

Foundations of Data Science

The Foundations of Data Science course provides in-depth knowledge and hands-on tools to work with different kinds of data. By acquiring proficiency in the data science coding language R, students gain practical experience across the data science pipeline.

Who is the target audience?

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

Why should you enroll?

Acquiring strong data literacy by knowing how to work with data makes 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.

Career Opportunities with Data Science Skills

Roles for Career Conversion or Reskilling

• Data Analyst (entry-level, working with data visualization and basic analytics)
• Business Intelligence (BI) Analyst
• Machine Learning Technician (assisting in AI/ML model implementation)
• Marketing Analyst (for data-driven marketing strategies)
• Operations Analyst (leveraging data for efficiency improvements)
• Financial Analyst (Data Focus)

Roles for Career Enhancement (Non-Technical Professionals)

• Product Manager (Data-Driven Decision Making)
• HR or People Analytics Specialist
• Sustainability Analyst (ESG & data-driven reporting)
• Healthcare Data Specialist
• Digital Marketing Strategist (with data-driven insights)
• Supply Chain Analyst

Intermediate Roles (with Further Specialization or Experience)

• Data Scientist (with additional programming & ML expertise)
• Machine Learning Engineer (with deeper technical skills in AI/ML)
• Quantitative Analyst (Finance & Risk Management)
• Data Engineer (with added database & cloud computing knowledge)
• AI Ethics Specialist (ensuring responsible AI use in organizations)

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

FAQ

Recommended Prerequisites

This course is taught at the beginner level. You should have the following tools, skills, and abilities before 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 participate in video chats effectively

Course Cost

The monthly subscription fee is CHF 490.

Course Duration

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.

Course Format

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