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Some 80% of work on data projects is data preparation. Yet, most people pay little attention to it, jumping straight to analysis. Using poor quality data or poorly understood data leads to poor data analysis. Or, to quote an old industry adage, “garbage in, garbage out”. This video addresses this issue by raising awareness and providing general data preparation guidelines, so you have top-notch data quality.
Timestamp:

00:00 Intro
00:29  Access the data
01:32 Data Understanding
02:13 Data Preparation
03:12  Statistical Preprocessing
03:54 Note on documentation

Resources: https://hubs.la/Q012KXYV0