Learning PathIntermediate

Exploratory Data Analysis

Exploratory Data Analysis is a practical series on turning raw data into reliable insight. It covers data gathering, source validation, cleaning, missing values, outliers, univariate and bivariate analysis, visual exploration, feature understanding, and clear reporting using Python, Pandas, and visualization libraries

#Pandas #python #Exploratory Data Analysis

1 Lesson

40 min total

Intermediate

Roadmap curriculum

Step 1

Mastering EDA Data Gathering: SQL, APIs, and Web Scraping Techniques

Learn the data gathering stage of exploratory data analysis with original offline-safe examples covering CSV files, SQL extraction, Excel export, API pagination, web scraping, JSON output, source logs, and data quality checks.

40 minJun 23, 2026