- Data Science
- Probability & Statistics
- Descriptive Statistics
- Statistics
- Data Manipulation
- Pandas (Python Package)
- Python Programming
- Machine Learning
- Data Analysis
- Unsupervised Learning
- NumPy
- Data Visualization
Foundations of Data Science: K-Means Clustering in Python
Completed by Harsh Mangukiya
January 28, 2022
29 hours (approximately)
Harsh Mangukiya'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
