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.
Foundations of Data Science: K-Means Clustering in Python
Foundations of Data Science: K-Means Clustering in Python
Instructors: Dr Matthew Yee-King
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Gain insight into a topic and learn the fundamentals.
4.6
(710 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 29 hours
Learn at your own pace
95%
Most learners liked this course
What you'll learn
Define and explain the key concepts of data clustering
Demonstrate understanding of the key constructs and features of the Python language.
Implement in Python the principle steps of the K-means algorithm.
Design and execute a whole data clustering workflow and interpret the outputs.
Skills you'll gain
Details to know
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Assessments
39 assignments
Taught in English
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There are 5 modules in this course
This week we will introduce you to the course and to the team who will be guiding you through the course over the next 5 weeks. The aim of this week's material is to gently introduce you to Data Science through some real-world examples of where Data Science is used, and also by highlighting some of the main concepts involved.
What's included
9 videos4 assignments3 discussion prompts
What's included
11 videos4 readings10 assignments1 peer review1 ungraded lab
What's included
16 videos10 readings15 assignments
What's included
8 videos6 readings7 assignments1 peer review
What's included
9 videos3 readings3 assignments3 peer reviews5 discussion prompts
Instructors
Instructor ratings
4.6 (301 ratings)
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Learner reviews
4.6
710 reviews
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Showing 3 of 710
TF
5
Reviewed on Jul 12, 2022
I learnt alot, a very good foundation course. It made me have more interest in learning more in Data Science particularly using Python language
SS
4
Reviewed on May 1, 2020
It is a very detailed and well planned course. However, there could have been a few lectures at the end on training set, testing set etc.
MP
5
Reviewed on Jan 3, 2022
This course was excellent. Though I already knew the concepts in this course and the programing skills, it has inspired me to 100% take the MSC provided. Excellent lectures. Just Excellent.
Recommended if you're interested in Data Science
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