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…
About the Tableau Advance Analytics with R training program.
Trusted by professionals across 30+ countries.
Certified consultants with 12+ years of real project experience.
Real-time scenarios & live project modules, not just slides.
Resume building, mock interviews & job referrals.
BISP certificate + full guidance for official exams.
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
Who it is for, what you need, and how it is delivered.
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
Basic programing knowledge
Knowledge of database basics
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.
Live Interactive classes with expert
Everything you need before you enroll.
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.
Yes. We discuss it with the trainer and schedule the training at a convenient time for you.
You get the recorded session. You may also retake the whole training multiple times within a 6-month period with the same trainer.
Yes. The curriculum includes real-time scenarios and live project modules, with the trainer explaining every topic end-to-end.
Enroll securely via the payment gateway on this page using card, UPI or net-banking. EMI options are available.
Call us at +91 769-409-5404 & +1 678-701-4914, or write to support@bisptrainings.com.
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