Advanced Analytics with R and Tableau
| Author | : | |
| Rating | : | 4.19 (852 Votes) |
| Asin | : | B01MCVMY95 |
| Format Type | : | |
| Number of Pages | : | 515 Pages |
| Publish Date | : | 2013-08-06 |
| Language | : | English |
DESCRIPTION:
She has started her second term in Jan 2016. She won each election outright with a distinct majority.. Jen Stirrup is a data strategist and technologist; SQL Server Most Valuable Professional (MVP); founder of Data Relish Ltd; SQLFamily and community advocate; a public speaker and blogger; the published author of Tableau Dashboard Cookbook; and a Teched Alumni speaker.Jen is also Director-At-Large (elect) for PASS, holding the Business Analytics Portfolio
About the AuthorJen Stirrup is a data strategist and technologist; SQL Server Most Valuable Professional (MVP); founder of Data Relish Ltd; SQLFamily and community advocate; a public speaker and blogger; the published author of Tableau Dashboard Cookbook; and a Teched Alumni speaker.Jen is also Director-At-Large (elect) for PASS, holding the Business Analytics Portfolio. She has started her second term in Jan 2016. She won each election outright with a distinct majority.
Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau.In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.What you will learnIntegrate Tableaus analytics with the industry-standard, statistical prowess of R.Make R function calls in Tableau, visualizing R functions with Tableau using RServe.Use the CRISP-DM methodology to create a roadmap for analytics investigations.Implement various supervised and unsupervised learning algorithms in R that return values to Tableau.Get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.Make quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau R calculated field functionsAbout the AuthorJe