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{ "item_title" : "Data Wrangling 101", "item_author" : [" Amara Hawthorn "], "item_description" : "Are you tired of drowning in spreadsheets full of duplicates, typos, and confusing formats? Do you want to turn messy, unusable data into clean, reliable information-without being a coding expert?Data Wrangling 101 is your beginner-friendly guide to mastering one of the most essential skills in today's data-driven world: cleaning and transforming raw data. Written in plain English with no fluff, this book shows you step-by-step how to use Python and free, open-source tools to take control of your data-even if you've never programmed before.Inside, you'll discover how to: Identify and fix common data problems (duplicates, missing values, formatting errors).Standardize and reshape data for analysis.Automate tedious cleanup tasks that would take hours in Excel.Work with real-world datasets from spreadsheets, CSVs, and APIs.Use powerful Python libraries like Pandas and NumPy to handle data with ease.Packed with practical examples, exercises, and mini-projects, this book doesn't just teach you what to do-it shows you how to think like a data wrangler. By the end, you'll have the confidence to take messy, chaotic data and turn it into insights you can actually use.Whether you're a student, researcher, business analyst, or just curious about data, this is the perfect starting point for your journey into data science.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/829/903/9798299036053_b.jpg", "price_data" : { "retail_price" : "18.99", "online_price" : "18.99", "our_price" : "18.99", "club_price" : "18.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Wrangling 101|Amara Hawthorn

Data Wrangling 101 : Clean and transform messy data using Python and open-source tools - for absolute beginners

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Overview

Are you tired of drowning in spreadsheets full of duplicates, typos, and confusing formats? Do you want to turn messy, unusable data into clean, reliable information-without being a coding expert?

Data Wrangling 101 is your beginner-friendly guide to mastering one of the most essential skills in today's data-driven world: cleaning and transforming raw data. Written in plain English with no fluff, this book shows you step-by-step how to use Python and free, open-source tools to take control of your data-even if you've never programmed before.

Inside, you'll discover how to:

  • Identify and fix common data problems (duplicates, missing values, formatting errors).

  • Standardize and reshape data for analysis.

  • Automate tedious cleanup tasks that would take hours in Excel.

  • Work with real-world datasets from spreadsheets, CSVs, and APIs.

  • Use powerful Python libraries like Pandas and NumPy to handle data with ease.

Packed with practical examples, exercises, and mini-projects, this book doesn't just teach you what to do-it shows you how to think like a data wrangler. By the end, you'll have the confidence to take messy, chaotic data and turn it into insights you can actually use.

Whether you're a student, researcher, business analyst, or just curious about data, this is the perfect starting point for your journey into data science.

This item is Non-Returnable

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Details

  • ISBN-13: 9798299036053
  • ISBN-10: 9798299036053
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 9 x 6 x 0.48 inches
  • Shipping Weight: 0.69 pounds
  • Page Count: 230

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