May 2025
Beginner
178 pages
4h 50m
English
Content preview from Data Science Foundations
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INDEX
Page numbers in italics refer to figures or tables.
2 common learning methods 129, 130
2 common methods of stakeholder engagement 32
3 key metrics for evaluating rules 118
3 key project aspects 16
3 lenses of data quality 47
3 project certainty requirements 15
3 stages of data movement 45, 45
3 types of data analytics 67
3 types of data store 44
4 pillars of data storytelling 125, 126, 126
4 principles of the BCS code of conduct 23–4
4 types of quantitative/qualitative data 34, 34
access controls 26
Agile 17
alternative hypothesis 71, 115
ARIMA (autoregressive integrated moving average) 81–4
arithmetic average ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.