About this Course

We rely on data to answer important questions, whether we are trying to make the best business decisions or determine the effectiveness of a new medical treatment. But our analyses are only as accurate as the data we are using, and incorrect or “dirty” data can lead to incorrect conclusions and assumptions. Data preparation, also called “cleaning” or “scrubbing”, is an important part of ensuring our analyses are accurate and useful.

What you'll learn

• Cleaning and scrubbing data
• Potential problems within datasets
• Understanding your dataset
• Handling bad data

Teacher

• Alyssa Batula

  Alyssa is an electrical engineer-turned software developer at Cox Automotive Inc. She uses data analysis and machine learning to automate processes and help make computers smarter.

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