- Pandas (Python Package)
- Descriptive Statistics
- Machine Learning Algorithms
- Data Visualization
- Data Science
- Probability & Statistics
- Data Analysis
- NumPy
- Python Programming
- Statistics
- Matplotlib
- Unsupervised Learning
Foundations of Data Science: K-Means Clustering in Python
Completed by Juan Manuel Ham Macosay
July 6, 2022
29 hours (approximately)
Juan Manuel Ham Macosay'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
