- Pandas (Python Package)
- Descriptive Statistics
- Machine Learning Algorithms
- Data Visualization
- Data Science
- Probability & Statistics
- Data Analysis
- NumPy
- Python Programming
- Statistics
- Matplotlib
- Unsupervised Learning
Foundations of Data Science: K-Means Clustering in Python
Completed by REALITA M. AQUILINA
July 3, 2024
29 hours (approximately)
REALITA M. AQUILINA'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
