- Matplotlib
- Python Programming
- Pandas (Python Package)
- Probability & Statistics
- Data Visualization
- Descriptive Statistics
- Machine Learning
- NumPy
- Machine Learning Algorithms
- Data Science
- Statistics
- Data Manipulation
Foundations of Data Science: K-Means Clustering in Python
Completed by Levente Kiss-Pápai
November 18, 2020
29 hours (approximately)
Levente Kiss-Pápai'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
