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Data visualization refers to the process of converting data into a graphical or visual representation. Because our brains process visual information so efficiently, visualizing data graphically greatly speeds up the process of data analysis. Using Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly. You will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.

What you'll learn

  • How to become a master at communicating business-relevant implications of data analyses.
  • How to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.
  • How to streamline your analyses and highlight their implications efficiently using visualizations in Tableau
  • Understand the many options for connecting to data
  • Understand the Tableau interface / paradigm – components, shelves, data elements, and Terminology.
  • The student will be able to use this knowledge to effectively create the most Powerful visualizations.
  • Create basic calculations including string manipulation, basic arithmetic calculations, custom Aggregations and ratios, date math, logic statements and quick table calculations
  • Able to represent your data using the following visualization types:
  • Cross Tab
  • Geographic Map
  • Page Trails
  • Heat Map
  • Density Chart
  • Scatter Plots
  • Pie Chart and Bar Charts
  • Small Multiples
  • Dual Axis and Combo Charts with different mark types
  • Options for drill down and drill across
  • Use Trend Lines, Reference Lines and statistical techniques to describe your data
  • Understanding how to use group, bin, hierarchy, sort, set and filter options effectively
  • Work with the many formatting options to fine tune the presentation of your visualizations
  • Understand how and when to Use Measure Name and Measure Value
  • Understand how to deal with data changes in your data source such as field addition, deletion or Name change
  • Understand all of your options for sharing your visualizations with others
  • Combine your visualizations into Interactive Dashboards and publish them to the web

Course Detail

Tableau Desktop

1. Connect to data - Microsoft SQL Server, Excel, Access, JSON.

2. Data Connection Properties

3. Data Blending & Cross database Joins
    - Project Architecture in tableau.

4. Tableau Interface
    - Dimensions & measures
    - Rows & Columns
    - Show Me & Mark Card(Dual Combination, Word cloud, Histogram, Gantt Chart)
    - Filter a sheet
    - Format a sheet
    - Pages Shelf

5. Additional Concepts
    - Reference Line: Bullet Chart & Box Plot
    - Pareto Chart, Waterfall Chart, Funnel Chart, Bump Chart, Donut Chart
    - Forecasting & Trend Lines
    - Hierachy, Sets, Bins
    - Group & Alias

6. Caclulated Fields with Functions(35 Functions)
    - String, Date, Logical, Conversion, User, Tableau Calculations, Number, Aggregate
    - Level of Detail Expressions(LOD) : FIXED, INCLUDE, EXCLUDE
    - Working with Parameters(3 Scenarios - Reference Line, Change the fields dynamically, Calculated Fields)
    - Scenarios - 4

7. Dashboard
    - Components : Text, Horizontal, Vertical, Blank, Web Page
    - Format & filters in a dashboard
    - Export image from dashboard.

8. Actions
    - Filter, Highlight & URL
    - Scenario(Landing Page)

9. Geocoding
    - Filled Map, Symbol Map
    - Issues with geocoding
    - Import custom geocoding

10. Background Images with one scenario

11. Stories - All the above dashboards created should be in one single TWB in the form of a story.

Tableau Server

1. Architecture of tableau server - Processes(11)

2. Install & Configure tableau server

3. Set up server
    - Create Project
    - Create Sites(DEV, QA, PROD)
    - Create site based users & groups
    - Create Schedules & Subscriptions
    - Publish TWB - Live & Extract
    - User based filters

4. Command Line Interface(CMD commands)
    - Import mass number of users from csv file.
    - Take a backup of tableau server
    - Restore the back up
    - Publish a TWB
    - Export image from TWB to pdf

About us

Bluebell Research Australia Pty. Ltd. is an Australian Startup engaged in training and placing candidates across Australia.

Contact Us

Email: training@bluebellresearch.com.au

Ph: +61 457298829/416769207

Address: 79 George Street, Parramatta, NSW, Australia

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