Geared for experienced Tableau users with data analysis background and interests, Advanced Tableau is a two-day, lab intensive hands-on course that deep dives into next-level data analytics using Tableau. Throughout the course you ll explore a deeper dive into data visualizations beyond the basics for various analytics requirements, more advanced ways to organize and script your data, playing with time dimension, incremental loading and blending, and (optionally) integrating Tableau with R and Hadoop, advanced storyboards and more.
This skills-focused course combines expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our expert facilitator, students will explore:
Why Data Visualization is Needed
Connecting to the databases and make basic charts and graphs.
How to make Advance Charts and Graphs.
Scripting functionality and organizing data for effective results.
More advanced visualizations for various analytical requirements
Creating Time based calculations.
Using location analytics capabilities to put geographic and other spatial context to your analysis.
Blending and arranging data from multiple source systems for effective analysis.
How to Integrate Tableau with R and Hadoop, Statistical Analytics, and social media analytics.
Working in real time environment for Tableau Projects leveraging the course mini project.
The requirement and creating various dashboards, story boards, deploying your dashboards for the project
Location analytics capabilities to put geographic and other spatial context to your analysis.
Filled Maps, Symbol Maps
Geo Coding
Online Maps
Sorting in Maps
Background Maps.
8. 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.
9. 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, Standard Deviation,
Forecasting Models
10. Case Study – Optional
Sharing Insights with Enterprise Dashboards:
Work in real time environment for Tableau Projects. one mini project will be provided with business scenarios. Understand the requirement and creating various dashboards, story boards, deploying your dashboards for the project. Mini end-end project with Business case study. Interactive Dashboards, Action Filters, Story Boards, Best Practices, Cover Pages, Annotations, Tool Tips, keyboard short cuts, Legends, Sharing your work, Deploying to server, Tableau Online, Tableau Reader, and Tableau Public
1. Introduction to Data Visualization with Tableau
Why Data Visualization is Needed
Making sense out of Numbers
Uses of Tableau
Installation
Architecture
Features of Tableau.
2. 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, Pie charts,
Basic maps; interpreting the same.
3. 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, Tree Maps.
4. Data Organization and Scripting
Learn scripting functionality and organizing data for effective results.
Calculated Metrics
Sorting, Filtering
Totals and Sub Totals
Various Aggregated Measures, Percentages,
Data Spotlighting, Summary Card.
Date and time functions, String Functions and logical functions
Data Items,
Data behind your views
Hierarchies, Sets, Groups, Bins.
5. The World is Your Visualization
Learn about more advanced visualizations for various analytical requirements
Location analytics capabilities to put geographic and other spatial context to your analysis.
Filled Maps, Symbol Maps
Geo Coding
Online Maps
Sorting in Maps
Background Maps.
8. 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.
9. 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, Standard Deviation,
Forecasting Models
10. Case Study – Optional
Sharing Insights with Enterprise Dashboards:
Work in real time environment for Tableau Projects. one mini project will be provided with business scenarios. Understand the requirement and creating various dashboards, story boards, deploying your dashboards for the project. Mini end-end project with Business case study. Interactive Dashboards, Action Filters, Story Boards, Best Practices, Cover Pages, Annotations, Tool Tips, keyboard short cuts, Legends, Sharing your work, Deploying to server, Tableau Online, Tableau Reader, and Tableau Public
This is an Intermediate and beyond-level Tableau course geared for experienced Tableau users who wish to leverage Tableau s more advanced capabilities.
This is an Intermediate and beyond-level Tableau course geared for experienced Tableau users who wish to leverage Tableau s more advanced capabilities.