Data quality is the foundation of everything we do as Data Analysts and Data Scientists.

So why do so many organizations suffer from dirty data? And what can you do to clean it up?

In this session, we’ll share some of the best data cleaning strategies and real actionable advice from The Classification Guru, Susan Walsh.

You’ll leave with a solid plan to start identifying problems with your data, and most importantly, to start fixing them on the path to clean data.

What You'll Learn:

• Why dirty data is such a big problem, and the benefits of cleaning it up

• The most common types of dirty data you should be on the lookout for

• Where you should focus your data cleaning efforts to make the biggest impact