Introduction to Data Science

This is an introductory course to data science. Via a combination of hands-on workshops and lectures, the course covers the basics methods and practices of data science projects. The course is designed around the data science lifecycle to show the techniques for handling data and data analysis. You will be exposed to basic programming skills in Python and learn how to select, clean, analyse, visualise, and interpret data.
By following this course, you will have knowledge and insight into
i) differentiating the steps of the data science life cycle;
ii) formulating a data research question
iii) using Python as the programming language to analyse data;
iv) know how basic data analysis algorithms work;
v) draw conclusions with regard to the data question/hypothesis by interpreting the data.

Course leader

Dr. Visara Urovi

Target group

Familiarity with datasets (e.g., in Excel) and student should be Tech-savvy

Course aim

• Becoming familiar with the data science lifecycle.
• Use Python as a programming language to perform data analysis tasks.
• Becoming familiar with the data manipulation process and how to achieve this in Python.
• Understand basic machine learning algorithms and their application.
• Understand data interpretation and visualization tools.
• Understanding responsible principles in data science projects.

Fee info

EUR 899: Tuition fee
EUR 720: Tuition for students of Maastricht University and ‘‘Women in Data Science’‘ participants upon proof.

Scholarships

No scholarships are available for this course.