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BI and Data Visualization

Tableau Advance Analytics with R training

Moving from data visualization into deeper, more advanced analytics? This course 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 an…

★★★★★ 4.8  ·  Rated by learners 🎓 Certificate of completion
Duration
30 Hours
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Mode
Live + Recorded
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Level
Beginner → Pro
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Language
English / Hindi

Course overview

About the Tableau Advance Analytics with R training program.

Moving from data visualization into deeper, more advanced analytics? This course 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. Tableau and R together offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. At 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 real use cases and hands-on examples from various domains like HR, Marketing, Sales and Finance.

Why learn with BISP

Trusted by professionals across 30+ countries.

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Industry trainers

Certified consultants with 12+ years of real project experience.

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Hands-on practice

Real-time scenarios & live project modules, not just slides.

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Placement support

Resume building, mock interviews & job referrals.

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Certification

BISP certificate + full guidance for official exams.

Course curriculum

Designed by real-time industry professionals around current job roles.

Download curriculum (PDF)

Course Objectives

BISP’s  Tableau  Advance  Analytics  Training will let you gain proficiency in Tableau integration with R.  You will work on real-life industry projects in statistical computing, graphics, data mining, data visualization, analytics, report, interactive dashboards. This is an industry-designed Combo  Training Course of Tableau and R providing you the complete training in Tableau and R programming language.  R is a statistical analysis language and the Tableau Desktop can combine with it and benefit from  R  functions, libraries, packages and invoke the R engine to return values to Tableau. The Tableau Server can be configured to R to view a dashboard of R functionality. All this ensures that you get awesome statistical analysis capabilities into a simple drag and drop visualization environment.

Course Outline

 Introduction to Data Visualization

What is Data Visualization?

Identify the prerequisites, goal, objectives, methodology, and Goal.

 Architecture of Tableau

What is Tableau?

Features of Tableau.

Installation of Tableau Desktop.

The interface of Tableau(Layout/Toolbars/Data Pane/Analytics Pane etc).

Managing Data Sources

Connection to various data sources

Mysql Database connectivity and tables

ODBC and other sources connectivity

 Introduction to Visual Analytics with Tableau.

Introduction to various charts

Bar Charts, Line Graphs, Pie Charts

Maps, Scatter Plots, Gantt Charts, Bubble Charts

Treemaps and Box-and-Whisker Plots

Managing Extracts

Managing Metadata

Visual Analytics

Data Granularity using Marks Card

Highlighting

Deep dive into Visualization

Highlighting Tables, Heat Maps.

Circle Plots

Side By Sidebar charts, Dual Axis Charts, Area Charts.

Waterfall Charts, Bump Chart, Word Cloud Chart, Pareto Charts.

Parameter using sets and filter

fields: continuous and discrete visualization

Quick Sort, Sorting using measure, Sorting using header and legends, sorting

Filtering Use cases covering different options (General, Wildcard, Conditional).

Interactive Filter, Quick Filter, Context Filter.

Grouping using Data Window, Visual Grouping, Calculated Grouping

(Static and Dynamic).

Adding trend line and reference line (along with various options available for them)

 Data Organization and Scripting

Calculated Metrics, Apply Sorting on Dimension and Measures.

Calculating Total and Subtotals.

Various Aggregated measures, Percentages.

Data Spotlighting, Summary Card, Date and Time Functions.

Logical Functions.

Hierarchies, Groups, and Bins.

 Working with Time Dimension

Quick Table Calculations.

Custom Table Calculations.

YTD, Parallel Period, Moving Averages.

Running totals, Window Averages.

Trend Lines and Predictive Models.

Data Incremental Loading and Data Blending

Data Blending from multiple source systems Creating Incremental Loads

Creating File Extractions, Parameters

Dashboard and Stories

Creating a Dashboard and learning its UI component.

Changing the layout of the dashboard.

Using Device Designer to create a dashboard for devices.

Create an interactive dashboard using actions (Filter, Highlight, URL).

Creating a story with dashboard.

Tableau Server Comprehensive

Single Installer

Worker Installer

Authentication

Processes

Data Server

Create the First Admin User

Create Projects and Groups

Assign Permissions to Projects

Data Connections

Metadata management

Connecting to data with Data Server

Updating data sources

Advanced Analytic with R and Tableau

Installing R and R Studio

Installing Reserve

Environment of R

Connecting to Reserve

Power of R

Variables

Vectors and Lists

Matrices

Factors

Data Frames

Control Structures

For Loops

Functions

Using R in Tableau

Prediction with R and Tableau Using Regression

Simple Linear Regression

Comparing Actual Values with Predicted Results

Logistic Regression

Advanced Analytics Using Clustering

How Does K-Means Work?

Creating a Tableau Group from Cluster Results

Classifying Data With Tableau

Decision Trees in Tableau Using R

Multivariate  Forecasting in Tableau w

 

Course details

Who it is for, what you need, and how it is delivered.

Who should learn Tableau Advance Analytics with R training?

This course is designed to the professionals who loves to play with data. In this couser you will be getting complete knowledge of data visualization, R Programing.

BI Professionals, Data Scientist

Prerequisites

Basic programing knowledge

Knowledge of database basics

Delivery methodology

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

Frequently asked questions

Everything you need before you enroll.

Can I attend a demo session before enrollment?

Yes. You may attend a demo class before enrollment for training quality evaluation, and interact one-to-one with the trainer for any specific requirement.

Can you schedule training as per my availability?

Yes. We discuss it with the trainer and schedule the training at a convenient time for you.

What if I miss a class?

You get the recorded session. You may also retake the whole training multiple times within a 6-month period with the same trainer.

Is there live project training?

Yes. The curriculum includes real-time scenarios and live project modules, with the trainer explaining every topic end-to-end.

How can I pay for the course?

Enroll securely via the payment gateway on this page using card, UPI or net-banking. EMI options are available.

More queries?

Call us at +91 769-409-5404 & +1 678-701-4914, or write to support@bisptrainings.com.

Case studies & learning PDFs

Free BI and Data Visualization resources to explore.

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