- Descriptive Statistics
- Python Programming
- Data Visualization
- Data Analysis
- Data Science
- Statistics
- Machine Learning Algorithms
- Pandas (Python Package)
- Unsupervised Learning
- NumPy
- Data Manipulation
- Probability & Statistics
Foundations of Data Science: K-Means Clustering in Python
Completed by Aleksandrs Andrejevs
October 7, 2020
29 hours (approximately)
Aleksandrs Andrejevs'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
