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
72,281 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(688 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 (292 ratings)
Recommended if you're interested in Machine Learning
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Learner reviews
4.6
688 reviews
- 5 stars
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Showing 3 of 688
GR
5
Reviewed on Sep 9, 2019
184/5000
MM
5
Reviewed on Jun 28, 2020
Very interesting course! The lecturers explain concepts thoroughly which makes the concepts easy to understand even for people without much knowledge in Data Science
AB
5
Reviewed on Jun 3, 2019
This course is at right level for a beginner (python and analytics) while going into details around K means clustering
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