Data Understanding stage of CRISP-DM with a case study

This video helps you completely grasp the Data Understanding of the CRISP-DM Framework. I will also equip you with 9 questions to help you cover Data Understanding in your Data Mining ventures.

This video is from a CRISP_DM Framework video series. To see the list of all the videos: https://roy-jafari.com/crisp-dm-frame...

Chapters
0:00 Intro to viode
1:21 The previous videos
2:56 Data Understanding
4:26 Q1 - What are possible sources of data useful for this case study?
7:33 Q2 - How is each source of data collected?
9:31 Q3 - What are the Volume, Variety, and Velocity levels of each source of data?
12:24 Q4 - What are the assumptions made in recording each value in each source of data?
14:55 Q5 - What are the legal and ethical implications of using each source of data?
16:24 Q6 - What kind of values do we normally get in each column in every source of data?
18:07 Q7 - Where is the data source in the spectrum of raw to fully processed data?
21:09 Q8 - How each source of data could be useful?
22:47 Q9 - Have you been given access to meaningful samples of the data sources, and spent time getting to know them?
23:38 Video Summary
24:11 Intro to next video