Tableau Training

What will you learn in this Tableau training? These Tableau training courses include following topics: Introduction to its architecture Working with its dashboard Implementing data blending and aggregation Data visualization and real-time analytics Generated fields and special fields Connecting Tableau with R Deploying R scripts Connections for organizing data Tableau graphs, reports, and calculations Tableau [...]
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What will you learn in this Tableau training?

These Tableau training courses include following topics:

  1. Introduction to its architecture
  2. Working with its dashboard
  3. Implementing data blending and aggregation
  4. Data visualization and real-time analytics
  5. Generated fields and special fields
  6. Connecting Tableau with R
  7. Deploying R scripts
  8. Connections for organizing data
  9. Tableau graphs, reports, and calculations

Tableau Training Lessons

Introduction to Data Visualization and The Power of Tableau

    1. What is data visualization?
      1.2 Comparison and benefits against reading raw numbers
      1.3 Real use cases from various business domains
      1.4 Some quick and powerful examples using Tableau without going into the technical details of Tableau
      1.5 Installing Tableau
      1.6 Tableau interface

 Architecture of Tableau

2.1 Architecture of Tableau
2.2 Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
2.3 Tableau field types
2.4 Saving and publishing a data source
2.5 Live vs extract connection
2.6 Various file types
2.7 The ways to share and export the work done in Tableau
Hands-on Exercise:

1. Use marks to create and edit sets
2. Highlight the desired items
3. Make Groups
4. Apply sorting on results
5. Make hierarchies among the created sets

Charts and Graphs

3.1 Basic Charts

  • Histograms
  • Box plot
  • Motion
  • Pie
  • Bar
  • Line
  • Bubble
  • Bullet
  • Scatter
  • Tree
  • Heat maps
  • Maps
  • Text table
  • Highlighted table

3.2 Dual axes graphs

  • Pareto
  • funnel
  • Waterfall charts
  • Market basket analysis (MBA)

Hands-on Exercise:

1. Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset
2. Perform market basket analysis (MBA) on the same dataset

Working with Metadata and Data Blending

4.1 Connecting to Data Source
4.2 Tableau data types
4.3 Connection to Excel
4.4 Cubes and PDFs
4.5 Management of metadata and extracts
4.6 Data preparation
4.7 Joins (Left, Right, Inner, and Outer) and Union
4.8 Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc.
4.9 Advanced joins

  • cross-database joining
  • data blending

Hands-on Exercise:

1. Connect to Excel sheet to import data
2. Use metadata and extracts
3. Manage NULL values
4. Clean up data before using
5. Perform the join techniques
6. Execute data blending from multiple sources

Advanced Data Manipulations

5.1 Mark and highlight
5.2 Groups
5.3 Sets (creating and editing sets, IN/OUT)

  • Constant sets
  • Computed sets
  • Combined sets

5.4 Bins
5.5 Hierarchies
5.6 Folders
5.7 Sorting and Types
5.8 Using the Formatting pane to work with the menu, fonts, alignments, settings, etc.
5.9 Editing axes and annotations

Tableau Training Lessons

Working with Filters

6.1 Filters (addition and removal)
6.2 Filtering continuous dates, dimensions, and measures
6.3 Filtering in Tableau
6.4 Types of filters
6.5 Filtering the order of operations

Hands-on Exercise:

1. Use the data set by date/dimensions/measures to add a filter
2. Use interactive filter to view the data
3. Customize/remove filters to view the result

Module 7 – Organizing Data and Visual Analytics

7.1 K-means cluster analysis
7.2 Trend and reference lines
7.3 Visual analytics in Tableau
7.4 Forecasting, confidence interval, reference lines, and bands

Hands-on Exercise:

1. Apply labels and tooltips to graphs, annotations, edit axes’ attributes
2. Set the reference line
3. Perform k-means cluster analysis on the given dataset

Working with Mapping

8.1 Working on coordinate points
8.2 Plotting longitude and latitude
8.3 Editing unrecognized locations
8.4 Customizing geocoding, polygon maps, WMS: web mapping services
8.5 Working on the background image, including add image
8.6 Plotting points on images and generating coordinates from them
8.7 Map visualization, custom territories
8.8 How to create map projects in Tableau
8.9 Creating dual axes maps, and editing locations

Hands-on Exercise:

1. Plot longitude and latitude on a geo map
2. Edit locations on the geo map
3. Custom geocoding
4. Use images of the map and plot points
5. Find coordinates
6. Create a polygon map
7. Use WMS

Working with Calculations and Expressions

9.1 Calculation syntax and functions in Tableau
9.2 Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
9.3 Levels of details: fixed level, lower level, and higher level

  • LOD expressions, including concept andsyntax
  • Nested LOD expressions
  • Aggregation and replication with LOD expressions

9.4 Quick table calculations
9.5 The creation of calculated fields
9.6 Quick LODs

Module 10 – Working with Parameters

10.1 Creating parameters
10.2 Parameters in calculations
10.3 Using parameters with filters
10.4 Column selection parameters
10.5 Chart selection parameters
10.6 How to use parameters in the filter session
10.7 How to use parameters in the reference line

Hands-on Exercise:

1. Creating new parameters to apply on a filter
2. Passing parameters to filters to select columns
3. Passing parameters to filters to select charts

Lesson 1

1
Module 1
Introduction to Data Visualization and The Power of TableauWhat is data visualization?1.2 Comparison and benefits against reading raw numbers1.3 Real use cases from various business domains1.4 Some quick and powerful examples using Tableau without going into the technical details of Tableau1.5 Installing Tableau1.6 Tableau interface
2
Module 2
55

 Architecture of Tableau

2.1 Architecture of Tableau

2.2 Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)

2.3 Tableau field types

2.4 Saving and publishing a data source

2.5 Live vs extract connection

2.6 Various file types

2.7 The ways to share and export the work done in TableauHands-on Exercise:

1. Use marks to create and edit sets

2. Highlight the desired items

3. Make Groups

4. Apply sorting on results

5. Make hierarchies among the created sets

Lesson 2

1
Module 3

Charts and Graphs

3.1 Basic Charts

  • Histograms
  • Box plot
  • Motion
  • Pie
  • Bar
  • Line
  • Bubble
  • Bullet
  • Scatter
  • Tree
  • Heat maps
  • Maps
  • Text table
  • Highlighted table

3.2 Dual axes graphs

  • Pareto
  • funnel
  • Waterfall charts
  • Market basket analysis (MBA)

Hands-on Exercise:

1. Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset

2. Perform market basket analysis (MBA) on the same dataset

 

2
Module 4

Working with Metadata and Data Blending

4.1 Connecting to Data Source

4.2 Tableau data types

4.3 Connection to Excel

4.4 Cubes and PDFs

4.5 Management of metadata and extracts

4.6 Data preparation

4.7 Joins (Left, Right, Inner, and Outer) and Union

4.8 Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc.

4.9 Advanced joins

  • cross-database joining
  • data blending

Hands-on Exercise:

1. Connect to Excel sheet to import data

2. Use metadata and extracts

3. Manage NULL values

4. Clean up data before using

5. Perform the join techniques

6. Execute data blending from multiple sources

 

3
Module 5

Advanced Data Manipulations

5.1 Mark and highlight

5.2 Groups

5.3 Sets (creating and editing sets, IN/OUT)

  • Constant sets
  • Computed sets
  • Combined sets

5.4 Bins

5.5 Hierarchies

5.6 Folders

5.7 Sorting and Types

5.8 Using the Formatting pane to work with the menu, fonts, alignments, settings, etc.

5.9 Editing axes and annotations

 

Lesson 3

1
Module 6
11

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2
Module 7
13

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3
8
5

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4
Module 9
`5

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5
Module 10

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There are no prerequisites for taking up this Tableau certification training.
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