Exploratory Data Analysis Essentials

By user Categories: Self-Paced
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About Course

Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their characteristics. This programme provides an overview of Exploratory Data Analysis (EDA), including the implementation, preparation, exploration, and visualization of data.

What Will You Learn?

  • What is EDA?
  • EDA for data preparation
  • Data Visualization techniques
  • Implementation of EDA tools

Course Content

Data Wrangling

  • EDA Course Introduction
  • Importance of data wrangling
  • Introduction to data cleaning
  • Regular expressions
  • Implementation of Regular expressions
  • Missing value treatment
  • Understanding Groupby in Depth
  • Covid data wrangling

Data Exploration

Data Viz using Tableau

Assessments & Case Studies