- Probability & Statistics
- Data Analysis
- Unsupervised Learning
- Python Programming
- NumPy
- Descriptive Statistics
- Statistics
- Machine Learning
- Data Manipulation
- Machine Learning Algorithms
- Data Visualization
- Pandas (Python Package)
Foundations of Data Science: K-Means Clustering in Python
Completed by Timo Maas
March 31, 2021
29 hours (approximately)
Timo Maas'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
