In 2020, an Anaconda survey found that data scientists now spend about 45% of their time on data preparation tasks, including loading and cleaning data.
This ebook will go over five common data preparation mistakes to avoid (and how to solve them) to help analysts upskill and become strong citizen data scientists.
The top 5 most common data preparation mistakes
Solutions to these errors that will make your data preparation process more efficient
How Dataiku can help you make the most of the suggested best practices