Data Wrangling with Python, Jacqueline Kazil, Katharine Jarmul

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.

Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

Quickly learn basic Python syntax, data types, and language concepts

Work with both machine-readable and human-consumable data

Scrape websites and APIs to find a bounty of useful information

Clean and format data to eliminate duplicates and errors in your datasets

Learn when to standardize data and when to test and script data cleanup

Explore and analyze your datasets with new Python libraries and techniques

Use Python solutions to automate your entire data-wrangling process

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