- Data Analysis
- Data Manipulation
- Descriptive Statistics
- Probability & Statistics
- NumPy
- Machine Learning
- Unsupervised Learning
- Data Science
- Pandas (Python Package)
- Matplotlib
- Data Visualization
- Machine Learning Algorithms
Foundations of Data Science: K-Means Clustering in Python
Completed by ARGA ERYZAL PRADINATA
February 5, 2022
29 hours (approximately)
ARGA ERYZAL PRADINATA'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
