Exploratory Data Analysis (EDA)
Welcome to week 4 of the Intro to data science course! Last week, we looked at different data visualization and Insight. We went further to explore how to create different plots and graphs using different tools. Lastly, we explored getting insights from data using dashboards.
This week, we'll begin our journey of data exploration and statistics 😍 by looking at what it is, and different ways of exploratory analysis. Next, we'll look at exploratory analysis from visualization point of view. Then, we'll explore different descriptive statistics and analysis.
Learning Outcomes
After this week, you will be able to:
- Explain the basics and importance of EDA in data science.
- Describe different types of statistics required for data analysis.
- Distinguish between measure of dispersion and variability on a dataset.
- Apply correlation analysis to features in a dataset.