- Data Visualization
- Unsupervised Learning
- Data Science
- Pandas (Python Package)
- Matplotlib
- Data Analysis
- Statistics
- Probability & Statistics
- Machine Learning
- Python Programming
- Data Manipulation
- Descriptive Statistics
Foundations of Data Science: K-Means Clustering in Python
Completed by Chukwuemeka Roche, Okorie Livinus
August 26, 2020
29 hours (approximately)
Chukwuemeka Roche, Okorie Livinus'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
