Course

Exploratory Data Analysis (EDA): Level 01

This course covers essential exploratory techniques to get familiar with datasets. Using business intuition, graphical & statistical techniques to define the behavioral nature of the data. It also addresses various issues with the dataset like missing values and outliers and describes different ways to treat them. These important techniques generally serve as a pre-cursor to statistical modeling.

7 Lessons
Outcomes

By the end of the course, learners will be able to:

  • Appreciate the importance of exploratory data analysis
  • Evaluate several methods for cleansing data
  • Perform uni-variate and bi-variate analyses
  • Recognize the importance of data transformation techniques
  • Explore various graphical techniques
  • Evaluate and perform various data transformation and aggregation techniques
 Level: 01
Duration: 09 Hours
Pre-requisites: Probability and Statistics
What’s next: Regression-1
Regression-2
Decision Trees and Random Forests
Classification