Advanced Tableau | Next-Level Data Visualization, Calculations, Analytics, Integration with Hadoop, R & More

Learn advanced level data visualizations, calculations, analytics and how to integrate Tableau with Hadoop and R

Course Code : 1179

[RICH_REVIEWS_SNIPPET stars_only=”true” category=””]

$1995

Overview

This two-day, lab-intensive, hands-on course is targeted towards experienced Tableau users with a background and interest in data analysis. The course explores basic to advanced level concepts of data visualization with Tableau. It also covers the fundamentals of data organization and scripting, visualization, playing with time dimension, incremental loading and blending, as well as integrating Tableau with Hadoop and R.

Schedule Classes

Delivery Format
Starting Date
Starting Time
Duration

Live Classroom
Wednesday, 28 August 2019
10:00 AM - 6:00 PM EST
2 Days

Delivery Format
Starting Date
Starting Time
Duration

Live Classroom
Thursday, 5 December 2019
10:00 AM - 6:00 PM EST
2 Days

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 5 days

Live Virtual Classroom
Duration: 5 days

What You'll learn

  • Understand why data visualization is needed
  • Connect to the databases and make basic charts and graphs
  • Make advanced 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 analysis
  • Blend and arrange data from multiple source systems for effective analysis
  • Learn how to integrate Tableau with R and Hadoop, statistical analysis and social media analysis
  • Work in real-time environment for Tableau projects (A mini project is provided with business scenarios)
  • Understand the requirement and creating various dashboards, story boards, deploying your dashboards for the project

Outline

  • Making sense out of numbers
  • Uses of Tableau
  • Installation
  • Architecture
  • Features of Tableau
  • Exporting data
  • Connecting sheets
  • Loading into Tableau visualization engine
  • Basic visualizations – text tables, bar, line, pie charts
  • Basic maps and interpreting them
  • Highlight tables
  • Heat maps
  • Circle plots
  • Side-by-side bars
  • Continuous lines
  • Scatter plots
  • Dual charts
  • Area charts
  • Tree maps
  • Calculated metrics
  • Sorting and filtering
  • Totals and sub-totals
  • Various aggregated measures and percentages
  • Data spotlighting and summary cards
  • Date and time functions
  • String functions
  • Logical functions
  • Data items
  • Data behind the views
  • Hierarchies, sets, groups, bins
  • Dual charts, dual axis, combination charts, Gantt charts for activity tracking
  • Motion charts, box and whisker plots
  • Reference lines and reference bands
  • Pareto analysis
  • Waterfall charts
  • Market basket analysis
  • Quick table calculations
  • Custom table calculations, YTD
  • Parallel period
  • Moving averages
  • Running totals
  • Window averages
  • Trend lines
  • Predictive models
  • Filled maps
  • Symbol maps
  • Online maps
  • Sorting in maps
  • Background maps
  • Data blending from multiple source systems
  • Custom SQL queries
  • Creating incremental loads
  • Creating file extractions
  • Parameters
  • Connecting to Hadoop systems from Tableau
  • Integrating Tableau with R
  • Connecting to R server parameterized R calls
  • Mean, median, mode, standard deviation
  • Forecasting models
  • 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.
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Prerequisites

This is an advanced level Tableau course, so participants need to have experience working with Tableau.

Who Should Attend

The course is highly recommended for –

  • Integration analysts
  • Data analysts
  • Data visualizers
  • Financial analysts
  • Business analysts
  • Programmers
  • Business intelligence professionals

Interested in this course? Let’s connect!