Advanced Analytics with R and Tableau

English | 2017 | ISBN: 978-1786460110 | 178 Pages | EPUB, AZW3, PDF (conv) | 12 MB

Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R
Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.
Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. 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.
By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.
What You Will Learn

• Integrate Tableau’s analytics with the industry-standard, statistical prowess of R.
• Make R function calls in Tableau, and visualize 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 to return values to Tableau.
• 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 functions.