Foundations of Data Science: K-Means Clustering in Python

( 7 Reviews )

Created by: Dr Matthew Yee-King

Quality Score

Content Quality

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Qualified Instructor

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Course Depth & Coverage

Overall Score : 88 / 100

Course Description

Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government.This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks. You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset.

Time: 28h

Instructor Details

Dr Matthew Yee-King

4.4 Rating
7 Reviews

Dr Matthew Yee-King is a Lecturer in Computing at Goldsmiths, University of London. He is an expert in creative digital signal processing and computer music and has worked with some of the leading names in the UK experimental music scene. He teaches on the BSc Creative Computing topics such as audio signal processing and synthesis, programming in Processing and audio development for the Android platform.

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Reviews

4.4

7 total reviews

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By Anton S on 17-Aug-19

Good introduction to k-means clustering using Python. Easy for follow.

By Bhawna D on 24-Sep-19

More time should be given in the coding part.

By Jesus R on 25-Sep-19

The lessons based on maths had a lot of text; it would have been better to base it more on graphics or imagery, since it was confusing to follow speech and text on video at the same time.

By federico a on 25-Oct-19

I liked it, very usefull and objective guide to implemt the algorithm, I also liked the format, many short videos wich is great to keep concentration

By Stephen K on 22-Oct-19

I felt that the instructors were passionate about the subject and it made me want to learn more. The course assumes that you don't know any python, which was good for me as that was exactly my situation when I started. However, if students did have a more advanced knowledge of data science concepts and python they could show this off in the assignments.

By Guillermo A R on 10-Sep-19

184/5000Conferences of very good quality, and the platform for practices is really useful to put the theory into practice. I recommend this course if you want to start in data science.

By Aditya on 4-Jun-19