Data Preparation for AI and Analytics (MEAP V03)

Excellent data quality makes for excellent data insights!

The Data Preparation for AI and Analytics is a practical guide to cleaning and organizing the messy, tangled data you’ll encounter in the real world. You’ll learn techniques you can use to get your data ready for almost any task—from reports and analysis, to building machine learning models.

In Data Preparation for AI and Analytics you’ll:

Understand the importance of data quality
Use AI to clean and prepare data
Take advantage of Python and visual tools like Alteryx
Apply the right data preparation technique for the right outcome

Data Preparation for AI and Analytics is for anyone who works with data, from seasoned data architects to marketing pros and business analysts. It presents data preparation methods with clear language and concrete examples. You’ll explore tried-and-true approaches along with emerging generative AI techniques. You’ll especially appreciate the insights into automation and data governance.
about the book
Data Preparation for AI and Analytics teaches you to tackle the challenges you’ll face as you work with data. You’ll master popular data wrangling tools like Python and Alteryx. Complex data prep concepts are broken down into clear, manageable steps and fully illustrated with engaging data sets—including data on the Titanic disaster, rating video games, sentiment analysis of Los Angeles restaurant recommendations, and more. The book is packed with vital advice for complex tasks, including merging multiple data sets, alerting systems for data quality, and scaling data preparation into large cloud-based pipelines. Learn universal techniques for data enrichment and transformation, and specialized approaches optimized for machine learning, analytics, and creating AI.