- Descriptive Statistics
- Data Visualization
- Probability & Statistics
- Statistics
- Pandas (Python Package)
- Python Programming
- Data Manipulation
- Data Analysis
- Unsupervised Learning
- Machine Learning Algorithms
- Data Science
- Machine Learning
Foundations of Data Science: K-Means Clustering in Python
Completed by Susanna Maria Vivier
June 23, 2020
29 hours (approximately)
Susanna Maria Vivier'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
