Exploratory Data Analysis Tutorial - Basics of EDA with Python

Dive into a comprehensive 4.5-hour tutorial on Exploratory Data Analysis (EDA) with Python. Learn how data scientists analyze and investigate datasets, summarize main characteristics, and employ data visualization methods. Discover techniques for manipulating data sources, identifying patterns, spotting anomalies, testing hypotheses, and checking assumptions. Cover topics including basics of EDA with Python, multiple variate analysis, outlier detection, and apply your skills to a practical Cricket World Cup analysis. Gain valuable insights into understanding dataset variables and their relationships, enhancing your ability to choose appropriate statistical techniques for data analysis.