- Data Science
- Data Visualization
- Data Analysis
- NumPy
- Pandas (Python Package)
- Statistics
- Probability & Statistics
- Machine Learning Algorithms
- Data Manipulation
- Matplotlib
- Python Programming
- Unsupervised Learning
Foundations of Data Science: K-Means Clustering in Python
Completed by Robert Tidball
March 12, 2021
29 hours (approximately)
Robert Tidball'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.