Pandas for Data Analysis by Example – Full Course for Beginners

Master Pandas and Python for data analysis through a comprehensive course designed for beginners. Dive into real-life projects covering data cleaning, wrangling, and analysis to advance your data science career. Begin with DataFrame basics using English word data, then progress to filtering and sorting Pokemon information. Explore the Birthday Paradox in the NBA, tackle string similarity matching with Levenshtein distance, and clean Google Playstore data. Analyze Premier League matches and dissect the 2017 NBA season using advanced joining and groupby techniques. Complete interactive projects to reinforce learning, with difficulty levels ranging from easy to advanced. Gain hands-on experience in essential data science skills over 4-5 hours of instruction.

⌨️ Introduction
⌨️ DataFrames practice: working with English Words [ Easy]
⌨️ Filtering and sorting with Pokemon data [ Easy]
⌨️ The Birthday Paradox in the NBA [ Intermediate]
⌨️ Matching Strings by Similarity using Levenshtein distance [ Intermediate]
⌨️ Data Cleaning with Google Playstore dataset [ Intermediate]
⌨️ Premier League Match Analysis [ Advanced]
⌨️ NBA 2017 season analysis: joining and groupby practice [ Advanced]