Advanced Tableau

Introduction to Data Visualization with Tableau

• Why Data Visualization is needed.
• Making sense out of numbers
• Uses of Tableau
• Installation
• Architecture
• Features of Tableau

Basic Visualization Design

• Connect to the databases and make basic charts and graphs.
• Exporting Data
• Connecting Sheets
• Loading into Tableau visualization engine
• Basic visualizations: Text Tables, Bar, Line, and Pie Charts
• Basic maps: interpreting the same

Visualizations Deep Dive

• Make Advance Charts and Graphs.
• Highlight Tables
• Heat Maps, Circle Plots, Side by Side Bars, Continues Lines, Scatter Plots, Dual Charts, Area Charts, and Tree Maps

Data Organization and Scripting

• Learn scripting functionality and organizing data for effective results.
• Calculated Metrics
• Sorting and Filtering
• Totals and Sub Totals
• Various Aggregated Measures and Percentages
• Data Spotlighting and Summary Card
• Date and time functions, String Functions, and Logical Functions
• Data Items
• Data behind your views
• Hierarchies, Sets, Groups, and Bins

The World is Your Visualization

• Learn about more advanced visualizations for various analytical requirements.
• Dual Charts, Dual Axis, Combination Charts, and Gantt Charts
• Motion Charts, Box, and Whisker Plots
• Reference Lines and Reference Bands
• Pareto Analysis
• Water Fall Charts
• Market Basket Analysis

Playing with Time Dimension

• Create Time based calculations.
• Quick Table Calculations, Custom Table Calculations, and YTD
• Parallel Period, Moving Averages, Running totals, Window Averages, Trend Lines, and Predictive Models

What is Your Location?

• Location analytics capabilities to put geographic And other spatial context to your analysis.
• Filled Maps and Symbol Maps
• Geo Coding
• Online Maps
• Sorting in Maps
• Background Maps

Incremental Loading and Blending

• Blend and arrange your data from multiple source systems for effective analysis.
• Data Blending from multiple source systems
• Custom SQL Queries
• Creating Incremental Loads
• Creating File Extractions
• Parameters

Integrating Tableau with R and Hadoop

• Integration of Tableau with R and Hadoop, Statistical Analytics, and social media analytics.
• Connect to Hadoop Systems from Tableau
• Integrating Tableau with R
• Connecting to R Server Parameterized R calls
• Mean, Median, Mode, and Standard Deviation
• Forecasting Models

Case Study – Optional
Sharing Insights with Enterprise Dashboards: Work in a real time environment for Tableau Projects. One mini project will be provided. Understand the requirement and create dashboards, storyboards, and deploy your dashboards for the project.

Join an engaging hands-on learning environment, where you’ll:

• Understand why Data Visualization is needed
• Connect to the databases and make basic charts and graphs
• Make advance charts and graphs
• Learn scripting functionality and organizing data for effective results
• Learn about more advanced visualizations for various analytical requirements
• Create Time based calculations
• Use location analytics capabilities to put geographic and other spatial context to your analysis
• Blend and arrange your data from multiple source systems for effective analysis
• Learn how to Integrate Tableau with R and Hadoop, Statistical Analytics, and social media analytics
• Create various dashboards, story boards, and deploy your dashboards for the project

This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.

This course is about 50% hands-on lab and 50% lecture, with multiple practical exercises designed to reinforce core skills and concepts taught throughout the course.  Students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, hands-on lab exercises, and lab review. This course is “skills-centric”, designed to train attendees in essential Tableau data handling functions and reporting skills, coupling the most current, effective techniques with the soundest practices.

You should have a data analysis background and be an experienced Tableau user.

Experienced Tableau users.