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Boot.dev

Learn Pandas

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Overview

Stuck in Tutorial Hell? Learn Backend Dev the Right Way
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Learn how to manipulate data in Python with Pandas, the industry-standard data analysis library. You'll load messy JSON, CSV, and Parquet files, then clean, filter, merge, and aggregate them into analysis-ready datasets. You'll even learn about Polars, a faster, modern alternative to Pandas.

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.

Taught by

Miriah Peterson

Reviews

4.7 rating at Boot.dev based on 110 ratings

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