November 2024
Beginner to intermediate
360 pages
12h 4m
English
book
Starting Data Analytics with Generative AI and Python
by Marian Siwiak, Artur Guja, Marlena Siwiak
Content preview from Starting Data Analytics with Generative AI and Python
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2 Using generative AI to ensure sufficient data quality
This chapter covers
- Best practices for ensuring high quality of data
- Using generative AI to prepare a data cleaning protocol
- Evaluating data content quality
- Dealing with data errors
- Investigating unclear data
In MS Excel, you can calculate the trend line and standard deviation of a sample on the basis of just two data points. Clearly, such “data analysis” is meaningless. This chapter will help you focus your efforts on things you should do with data, rather than just expand on what you can do with it. It explains the necessary background for any analysis you may wish to perform. You will learn about best practices and non-negotiable rules, ensuring that your conclusions are related ...
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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.
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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.