Exploratory Data Analysis – YouTube Playlist

By user Categories: Self-Paced
Wishlist Share
Share Course
Page Link
Share On Social Media

About Course

In today’s data-driven world, collecting and analyzing data is essential for businesses to make informed decisions. Exploratory data analysis (EDA) is a fundamental step in data analysis that helps you understand your data, identify patterns, and develop hypotheses. Whether you’re new to EDA or looking to refresh your skills, this playlist is an essential resource for understanding and applying correlation analysis.

What Will You Learn?

  • Understand and apply distribution analysis.
  • Data cleaning techniques used in exploratory data analysis, including handling missing data, dealing with outliers.
  • Importance of data wrangling
  • Identify outliers, missing data, and explore the data distribution.
  • Principles and techniques of Pareto analysis

Course Content

Data Wrangling: The First Step in the Data Analysis Process

Data Cleaning Techniques for Exploratory Data Analysis

Introduction to Exploratory Data Analysis

Introduction to Data Visualization

Understanding Descriptive Statistics

Pareto Analysis: An Essential EDA Technique

Crosstab Analysis

Mastering Distribution Analysis: Essential Techniques for Effective EDA

Correlation Analysis Demystified