Foundations of Data Science: K-Means Clustering in Python
Completed by Arman Heidari Rekabdarkolaei
January 30, 2024
29 hours (approximately)
Arman Heidari Rekabdarkolaei'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: Data Literacy
- Category: Analytics
- Category: Plot (Graphics)
- Category: Statistics
- Category: Data Analysis
- Category: Unsupervised Learning
- Category: Descriptive Statistics
- Category: Data Science
- Category: Data Processing
- Category: Machine Learning Algorithms
- Category: Statistical Methods
- Category: Python Programming
