Foundations of Data Science: K-Means Clustering in Python

About this Course

This course introduces you to the fundamental concepts of data science in order to prepare you for intermediate and advanced data science courses. It focuses on the basic mathematics, statistics, and programming skills required for typical data analysis tasks.

These fundamental concepts will be applied to an example data clustering task, and you will use this example to learn basic programming skills required for mastering Data Science techniques. Throughout the course, you will be required to complete a number of mathematical and programming exercises, as well as a small data clustering project for a given dataset.

Instructor rating

 4.66/5 (195 Ratings)

Dr Matthew Yee-King

Lecturer

Computing Department, Goldsmiths, University of London

Dr Betty Fyn-Sydney

Lecturer in Mathematics

Department of Computing, Goldsmiths, University of London

Dr Jamie A Ward

Lecturer in Computer Science

Department of Computing, Goldsmiths, University of London

Dr Larisa Soldatova

Reader in Data Science

Department of Computing, Goldsmiths, University of London

Offered by

University of London

Goldsmiths, University of London