Tableau Advanced Training Course

by NobleProg (Australia) Claim Listing

Tableau helps people see and understand data. Introduction and Getting Started Filtering, Sorting & Grouping Advanced options for filtering and hiding Understanding many options for ordering and grouping your data Sort, Groups, Bins, Sets Interrelation between all options

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img Duration

2 Days

Course Details

Overview

Tableau helps people see and understand data.

 

Course Outline

Introduction and Getting Started

  • Filtering, Sorting & Grouping

    • Advanced options for filtering and hiding

    • Understanding many options for ordering and grouping your data

    • Sort, Groups, Bins, Sets

    • Interrelation between all options

  • Working with Data in Tableau

    • Dimension versus Measures

    • Data types, Discrete versus Continous

    • Joining Database sources,

    • Inner, Left, Right join

    • Blending different datasources in a single worksheet

    • Working with extracts instead of live connections

    • Data quality problems

    • Metadata and sharing a connection

  • Calculations on Data and Statistics

    • Row-level calculations

    • Aggregate calculations

    • Arithmetic, string, date calculations

    • Custom aggregations and calculated fields

    • Control-flow calculations

    • What is behind the scene

    • Advanced Statistics

    • Working with dates and times

  • Table Calculations

    • Quick table calculations

    • Scope and direction

    • Addressing and partitioning

    • Advanced table calculations

  • Advanced Geo techniques

    • Building basic maps

    • Geographic fields, map options

    • Customizing a geographic view

    • Web Map Service

    • Visualizing non geographical data with background images

    • Mapping tips

    • Distance Calculations

  • Parameters in tableau

    • Creating parameters

    • Parameters in calculated fields

    • Parameter control options

    • Enhancing analysis and visualizations with parameters

  • Building Advanced Chart Visualizations

    • Bar chart variations –bullet, bar-in-bar, highlights chart

    • Date and time visualizations, gantt charts

    • Stacked bars, treemaps, area charts, pie charts

    • Heat map

    • KPI chart

    • Pareto chart

    • Bullet chart

  • Advanced formattting

    • Labels

    • Legends

    • Highlighting

    • Annotations

  • Telling a data story with Dashboards

    • Dashboard framework

    • Filter actions

    • Highlight actions

    • URL actions

    • Cascading filters

  • Trends and Forecasting

    • Understanding and Customizing trend lines

    • Distributions

    • Forecasting

  • Integrating Tableau and R for advanced data analytics  

    • Possibility to include different data analytics methods in R on participants request

  • Melbourne Branch

    Suite 51/Level 4, 80 Market Street, Melbourne

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