Foundations of Data Science: K-Means Clustering in Python
Completed by Cleveland Stanberry
January 1, 2020
29 hours (approximately)
Cleveland Stanberry'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: NumPy
- Category: Data Literacy
- Category: Descriptive Statistics
- Category: Data Science
- Category: Data Manipulation
- Category: Data Processing
- Category: Analytics
- Category: Pandas (Python Package)
- Category: Statistics
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Data Visualization
