Book description
NoneTable of contents
- Cover Page
- Title Page
- Copyright
- Dedication
- Credits
- About the Author
- Acknowledgments
- Contents
- Introduction
-
1: Everything You Ever Needed to Know about Spreadsheets but Were Too Afraid to Ask
- Some Sample Data
- Moving Quickly with the Control Button
- Copying Formulas and Data Quickly
- Formatting Cells
- Paste Special Values
- Inserting Charts
- Locating the Find and Replace Menus
- Formulas for Locating and Pulling Values
- Using VLOOKUP to Merge Data
- Filtering and Sorting
- Using PivotTables
- Using Array Formulas
- Solving Stuff with Solver
- OpenSolver: I Wish We Didn't Need This, but We Do
- Wrapping Up
- 2: Cluster Analysis Part I: Using K-Means to Segment Your Customer Base
- 3: Naïve Bayes and the Incredible Lightness of Being an Idiot
- 4: Optimization Modeling: Because That “Fresh Squeezed” Orange Juice Ain't Gonna Blend Itself
- 5: Cluster Analysis Part II: Network Graphs and Community Detection
- 6: The Granddaddy of Supervised Artificial Intelligence—Regression
- 7: Ensemble Models: A Whole Lot of Bad Pizza
- 8: Forecasting: Breathe Easy; You Can't Win
- 9: Outlier Detection: Just Because They're Odd Doesn't Mean They're Unimportant
- 10: Moving from Spreadsheets into R
- Conclusion
- Index
Product information
- Title: Data Smart: Using Data Science to Transform Information into Insight
- Author(s):
- Release date:
- Publisher(s): Wiley
- ISBN: None
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