Foundations of Data Science: K-Means Clustering in Python
Completed by Kyle Rodger
January 1, 2020
29 hours (approximately)
Kyle Rodger's account is verified. Coursera certifies their successful completion of Foundations of Data Science: K-Means Clustering in Python
What you will 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 will gain
- Category: Plot (Graphics)
- Category: Statistics
- Category: Data Literacy
- Category: Machine Learning
- Category: Statistical Methods
- Category: Data Visualization
- Category: Python Programming
- Category: Data Science
- Category: Data Manipulation
- Category: Descriptive Statistics
- Category: Unsupervised Learning
- Category: Applied Machine Learning
