Join Ron Davis for an in-depth discussion in this video Concepts and results, part of Excel Data-Mining Fundamentals.
- Concepts.…Data analytic thinking.…Today businesses are increasingly driven by data analytics…so there is a tremendous advantage…in being able to interact confidently…with and within such businesses.…You need to understand some fundamental concepts…and have a framework for organizing data analytic thinking.…Not only will this allow you to interact confidently…but it will allow you to envision opportunities…for improving data driven decision making…or perhaps to see data-oriented competitive threats.…
Traditional industries are exploring new…and existing data sources to utilize…in competitive advantages…and new firms are constantly emerging…that are developing data mining…as a key strategic component.…Business problems and data science.…Every business decision that is impacted…by data analytics is a unique decision…and has its own combination of goals and desires,…parameters and even the personalities…involved in the decision.…However, there are a common set of task…that underlie data driven business problems.…
When you are working with business stakeholders,…
- Solving business problems with data mining
- Exploring Excel's data-mining algorithms
- Data mining with Excel SQL Server Analysis Services
- Using the Data Preparation tab
- Detecting categories
- Using the Prediction Calculator
Skill Level Intermediate
Cleaning Up Your Excel 2013 Datawith Dennis Taylor1h 59m Appropriate for all
Querying Microsoft SQL Server 2012with Gerry O'Brien5h 35m Beginner
Excel 2013: Data Validation in Depthwith Dennis Taylor1h 5m Intermediate
Microsoft Business Intelligence Stack Fundamentalswith Ron Davis43m 39s 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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