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Boot.dev

Learn Pandas

via Boot.dev

Overview

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Learn Pandas by cleaning, merging, and aggregating real datasets. Practice DataFrames, joins, groupby, event analytics, and even Polars.

Syllabus

  • Data Manipulation
    • Learn the core workflow, data types, date handling, and Python comprehension tools used in data manipulation.
  • Data Formats
    • Learn how to work with common data formats like JSON and CSV in Python workflows.
  • Pandas
    • Learn Pandas fundamentals like Series, DataFrames, indexes, loading data and inspection.
  • Filtering and Sorting
    • Learn how to filter, sort, derive, bin, and inspect tabular data with Pandas.
  • Data Cleaning
    • Learn how to clean messy datasets by handling missing values, duplicates, and invalid records.
  • Merging
    • Combine datasets with joins, validation, unmatched records, concatenation, and integration pipelines.
  • Aggregation and Modeling
    • Learn how to aggregate data, use pivots, and build analytical fact and dimension tables.
  • Events and Cohorts
    • Wrangle event data and analyze funnels, cohorts, retention, and growth metrics.
  • Polars
    • Learn Polars fundamentals and how it compares to Pandas for data work in Python.

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