Over the last decade, the total amount of data created, captured, copied, and consumed has increased more than 3000% to over 50 zettabytes per year; this trend will undoubtedly continue into the next decade. Explore how to practically obtain, transform, clean, unbias, and explore data. Learn to structure data for consumption by machine learning algorithms.

All tools and data utilized will be open source and freely available for use before, during, and after the course.

What you will learn:

• Establish a work environment conducive to data science
• Extract data from databases, APIs, and web scraping
• Preprocess and clean data
• Address data fairness
• Normalize data
• Retrieve information from data
• Format data for machine learning

This course is included in the Applied Machine Learning Certificate.

Earn 1.4 Continuing Education Units (CEUs).