Kazil, Jarmul - Data Wrangling with Python - 2016

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