- Data Manipulation
- Pandas (Python Package)
- Machine Learning Algorithms
- Matplotlib
- Data Visualization
- Unsupervised Learning
- Data Science
- Data Analysis
- NumPy
- Python Programming
- Statistics
- Probability & Statistics
Foundations of Data Science: K-Means Clustering in Python
Completed by Pin Xiu Lim
March 12, 2020
29 hours (approximately)
Pin Xiu Lim'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
