Visual Data with Tableau 1-Day Course, London

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Visual Data with Tableau 1-Day Course, London
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Fri 10 April 2020
Friday 10 April 2020
11:00 AM - 6:00 PM
Ended

Visual Data with Tableau

Course summary

Tableau Desktop Fundamentals

This course will work through techniques of using the Tableau interface to effectively create powerful visualisations.

It also includes a digital student resources folder containing Tableau workbooks and data sources to support the hands-on activities.

Please bring your own laptop, or arrange beforehand to use ours.

Course Description

Data:

  • Understand Tableau terminology.

  • Connecting to your data: Editing, filtering and extracting a data source; Tableau Data Extracts (TDEs) & why / when you should use them, Categorizing data, confirming data types.

  • Edit and save a data source.


Calculations

  • Create basic calculations including,
  • basic arithmetic calculations
  • custom aggregations and ratios,
  • date math, date handling,
  • and quick table calculations.
  • Dates and date calculations

Vizualations: Creating your first visualisations

  • Introduction to the most common chart types: Represent your data using 

Represent your data using the following visualisation types, inlcuding but not limited to:

  • Cross tabs, Tables, Matrixes;
  • Geographic maps
  • Heat maps
  • Tree maps
  • Bar charts, Column Charts, Pie Charts, Area Charts, Line Charts;
  • Cards and Gauges,
  • Dual axis charts,
  • Scatter plots & Bullet charts
  • Enhancing your visuals:
    • Formatting features
    • custom colors and labels
    • Scale
  • Enhancing the data insights:
    • sorting,
    • filtering and slicing
    • search,
    • highlighting
  • Parameters, grouping, hierarchies.
Joining tables and creating visuals from joint data tables.

Dashboards

  • Build dashboards to share visualisations.
  • Building dashboards and stories to share visualizations.
  • Keeping your data organized: folders & hierarchies.
  • Data Visualization best practice: A quick look at the do’s & don’ts of visualizing data.

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