- Probability & Statistics
- Data Visualization
- Machine Learning
- Data Manipulation
- Unsupervised Learning
- Pandas (Python Package)
- Descriptive Statistics
- Data Analysis
- NumPy
- Data Science
- Machine Learning Algorithms
- Statistics
Foundations of Data Science: K-Means Clustering in Python
Completed by Raushan Utemuratova
August 17, 2020
29 hours (approximately)
Raushan Utemuratova'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
