Hands-On Data Analytics
Focused: Classification & Clustering, practical exercises using Google Colab.
Hands-On Data Analytics
Hands-on Data Analytics is the practical application of theories taught in the Data Analytics course. In this session, students are expected to apply their skills in performing segmentation or clustering on specific cases. Furthermore, it trains students to solve problems involving dozens or even thousands of data points through data processing and analysis using professional tools, making the entire analytics process much simpler and more efficient.
Classification
Supervised Learning
- Decision rules and tree-based methods
- Model evaluation (accuracy, confusion matrix)
- Hands-on with labeled datasets
Clustering
Unsupervised Learning
- K-means clustering algorithm
- Hierarchical clustering methods
- Interpreting clusters and choosing k
Hands-on Resources
Download the required files and follow the guidelines to complete each module.
Submission
Submit your completed work to your assigned assistant.
