Advanced Analytics with R and Tableau [Video]

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Advanced Analytics with R and Tableau [Video]

Jen Stirrup, Ruben Oliva Ramos

Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R
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Video Details

ISBN 139781788993388
Course Length1 hour and 31 minutes

Video Description

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 video course will intensify data skills for data viz-savvy users who want to move into analytics and data science 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. 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 course, 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.

Style and Approach

Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages. When you want to move from one view of data to another, backed up by complex computations, the combination of R and Tableau makes the perfect solution. This example-rich guide will teach you how to combine these two to perform advanced analytics by integrating Tableau with R and create beautiful data visualizations.

Table of Contents

Introduction to R and Tableau
The Course Overview
Installing R for Windows
RStudio Installation and Prerequisites
Tableau and R Connectivity Using Rserve
The Power of R
Core Essentials of R Programming
Creating Data Frames
For Loops and Vectorization in R
A Methodology for Advanced Analytics Using Tableau and R
CRISP-DM Methodology
Team Data Science Process
Summarizing the Data with dplyr
Prediction with R and Tableau Using Regression
Getting Started with Regression
Comparing Actual Values with Predicted Results
Classifying Data with Tableau
Understanding the Data
Modeling in R
Advanced Analytics Using Clustering
Finding Clusters in Data
Creating Clusters
Working with Clusters in Tableau
Statistics for Clustering
Advanced Analytics with Unsupervised Learning
Introduction to Neural Networks
Neural Network in R

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

Authors

Table of Contents

Introduction to R and Tableau
The Course Overview
Installing R for Windows
RStudio Installation and Prerequisites
Tableau and R Connectivity Using Rserve
The Power of R
Core Essentials of R Programming
Creating Data Frames
For Loops and Vectorization in R
A Methodology for Advanced Analytics Using Tableau and R
CRISP-DM Methodology
Team Data Science Process
Summarizing the Data with dplyr
Prediction with R and Tableau Using Regression
Getting Started with Regression
Comparing Actual Values with Predicted Results
Classifying Data with Tableau
Understanding the Data
Modeling in R
Advanced Analytics Using Clustering
Finding Clusters in Data
Creating Clusters
Working with Clusters in Tableau
Statistics for Clustering
Advanced Analytics with Unsupervised Learning
Introduction to Neural Networks
Neural Network in R

Video Details

ISBN 139781788993388
Course Length1 hour and 31 minutes
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