Description:
This brief session will provide exposure to both data exploration and data analysis and their contributions to effective machine learning. We will discuss how to clean and prepare the data for analysis i.e., data cleansing and data pre-processing and how exploring the data i.e., EDA(exploratory data analysis)can draw your attention to what’s important. We will also examine how data exploration and data analysis can extract valuable insights that often enhance data understanding and the machine learning process.
Course Code/Duration:
BDT175 / 90 minutes.
Learning Objectives:
You will learn:
Yes (Digital format)
Course Outline:
Introduction to Data Exploration and Analysis
Introduction to EDA and its role in drawing attention to crucial aspects of the data.
How data analysis provides a deeper understanding of the data.
Understanding the direct contributions of data exploration and analysis to improved machine learning models.
