- Recognize the factors involved in building an environment.
- Define models, induction, and prediction.
- Determine key concepts in Excel data-mining.
- Analyze key influencers.
- Break down how to utilize the detect categories tool.
- Recognize where and when to use the Shopping Basket Analysis.
Skill Level Intermediate
- [Voiceover] Hi, I'm Ron Davis and I want to introduce you to the land of Excel Data-Mining Fundamentals. In this course, we're going to cover some of the basics of data-mining and then we're going to go over and switch into Excel and do some actual data-mining. We'll apply different algorithms and we'll look at the output. The reason I'm particularly excited about that is today, because of the Excel data-mining plug ins, you do not need to be a statistician to actually do data-mining. Once you learn some basics as far as shaping your data and then look at the different algorithms and see what they're really intended to do, you can go through and start exploring your own data and you will grow from that and start using data-mining.
Thanks and let's get started.
Querying Microsoft SQL Server 2012with Gerry O'Brien5h 34m Beginner
Cleaning Up Your Excel 2013 Datawith Dennis Taylor1h 59m Intermediate
Learning Microsoft Business Intelligence Stackwith Ron Davis43m 35s Intermediate
1. Data-Mining Concepts
2. The Microsoft Data-Mining Algorithms
The Microsoft algorithms3m 32s
3. Data Mining between Excel and SQL Server Analysis Services
Understanding mining models2m 33s
4. Using the Data-Mining Add-ins in Excel
Next steps2m 32s
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