Description:
Learn essential data wrangling techniques using Python's Pandas library in this 48-minute tutorial. Explore key concepts like data frames, CSV reading, filtering methods, and joining tables through practical examples using the Adventureworks dataset. Discover how to efficiently manipulate data with chaining methods, handle missing values, create pivot tables, and export results. Compare Pandas to R and SQL while gaining hands-on experience with Jupyter Notebook. Master powerful data manipulation tools including iloc, loc, filtering, sorting, grouping, and merging to enhance your data analysis skills.
Kung Fu Data Wrangling in Python with Pandas
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#Programming
#Programming Languages
#Python
#Data Science
#Data Analysis
#pandas
#Jupyter Notebooks
#Data Wrangling
#Spreadsheets
#Pivot Tables
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