Anyone who's ever analysed data knows the pain of digging in only to find that
it is poorly structured, full of inaccuracies, or just plain incomplete. But "dirty data"
isn't just a pain point for analysts; it can have a major financial and cultural impact on
an organisation.
In this latest Data Science Central webinar, you will learn four actionable ways to
overcome common data preparation issues, including how to establish a company
standard for "clean data" and how to democratize data prep across your organisation.
Speaker: Louis Archer, London Manager -- Tableau
Hosted by: Bill Vorhies, Editorial Director -- Data Science Central |
| Title: | 4 Ways to Tackle Common Data Prep Issues |
| Date: | Tuesday, September 25th, 2018 |
| Time: | 9:00 AM - 10:00 AM PDT |
|
|
No comments:
Post a Comment
Note: only a member of this blog may post a comment.