Why this course?

Description

Description:

This course provides a hands-on approach to cluster analysis for both categorical and continuous data types. Participants will gain practical experience in identifying natural groupings within datasets through hierarchical and K-means clustering techniques. Emphasis is placed on interpreting dendrograms and distance matrices to extract meaningful insights from the data.

Key Highlights:

• Hands-on learning with real datasets
• Understanding hierarchical and K-means clustering
• Interpreting dendrograms and distance matrices

What you will learn:

• Enhanced Data Analysis Skills
  Learn to identify and interpret natural data groupings using clustering techniques.
• Hands-On Experience
  Gain practical skills through real-world examples and exercises.
• Data Visualization Techniques
  Understand how to visualize and interpret dendrograms and distance matrices.