Visual Data with Tableau half-Day Course, Manchester, Online Instructor-led

Learn in 3 hours how to use Tableau for data visualizations and reporting on data. Instructor-led. Practical. Online.

Visual Data with Tableau, Half Day Course, Online, Instructor-led

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

Instructor-led, Online, Practical , Interactive.

10am-1pm, 3 hours

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

Read more: https://pcworkshopslondon.co.uk/data-analysis-tableau.html

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.