Tableau Training Course

36,543

“Edutech Skills” Tableau classes assist you with learning this BI instrument and work on the ideas of information representation with a firm comprehension of its engineering. You will get capable in the ideas of channels, boundaries, maps, charts, dashboards, and table computation. Besides, you will find out about information mixing, information conglomeration, and R network in this online Tableau affirmation instructional class.

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

What are the prerequisites for Tableau course?

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

How difficult is the Tableau course?

This is one of the most popular Business Intelligence (BI) and data visualization tools today. It is a complex BI tool, but by enrolling in Edutech Skills Tableau course, you will get to learn it from SMEs. You will work on assignments and exercises, which will help you apply the concepts in real life and enhance your learning. You will also work on real-world projects to gain hands-on experience to become Tableau Desktop certified professional.

Who are the trainers?

All of our trainers are experts in this BI tool. Coming from leading industries, they are Tableau Desktop certified professionals who have a lot of experience in this field. All of them have worked with this tool for a really long time with deep knowledge in it.

Is coding required to learn Tableau course?

One of the best things about this tool is that you do not need to have any prior technical knowledge in any programming language to use it. However, to clear the Tableau Desktop certification exam and become a successful professional, you need to be good at analytics. You should be able to understand the dissection of data and have good analytical skills.

Module 1 – Introduction to Data Visualization and Power of Tableau

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
1.7 Connecting to DataSource
1.8 Tableau data types
1.9 Data preparation

Module 2 – Architecture of Tableau

2.1 Installation of Tableau Desktop
2.2 Architecture of Tableau
2.3 Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
2.4 How to start with Tableau
2.5 The ways to share and export the work done in Tableau

Hands-on Exercise:

1. Play with Tableau desktop
2. Learn about the interface
3. Share and export existing works

Module 3 – Working with Metadata and Data Blending

3.1 Connection to Excel
3.2 Cubes and PDFs
3.3 Management of metadata and extracts
3.4 Data preparation
3.5 Joins (Left, Right, Inner, and Outer) and Union
3.6 Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc.

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

Module 4 – Creation of Sets

4.1 Mark, highlight, sort, group, and use sets (creating and editing sets, IN/OUT, sets in hierarchies)
4.2 Constant sets
4.3 Computed sets, bins, etc.

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

Module 5 – Working with Filters

5.1 Filters (addition and removal)
5.2 Filtering continuous dates, dimensions, and measures
5.3 Interactive filters, marks card, and hierarchies
5.4 How to create folders in Tableau
5.5 Sorting in Tableau
5.6 Types of sorting
5.7 Filtering in Tableau
5.8 Types of filters
5.9 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 6 – Organizing Data and Visual Analytics

6.1 Using Formatting Pane to work with menu, fonts, alignments, settings, and copy-paste
6.2 Formatting data using labels and tooltips
6.3 Edit axes and annotations
6.4 K-means cluster analysis
6.5 Trend and reference lines
6.6 Visual analytics in Tableau
6.7 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

Module 7 – Working with Mapping

7.1 Working on coordinate points
7.2 Plotting longitude and latitude
7.3 Editing unrecognized locations
7.4 Customizing geocoding, polygon maps, WMS: web mapping services
7.5 Working on the background image, including add image
7.6 Plotting points on images and generating coordinates from them
7.7 Map visualization, custom territories, map box, WMS map
7.8 How to create map projects in Tableau
7.9 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

Module 8 – Working with Calculations and Expressions

8.1 Calculation syntax and functions in Tableau
8.2 Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
8.3 LOD expressions, including concept and syntax
8.4 Aggregation and replication with LOD expressions
8.5 Nested LOD expressions
8.6 Levels of details: fixed level, lower level, and higher level
8.7 Quick table calculations
8.8 The creation of calculated fields
8.9 Predefined calculations
8.10 How to validate

Module 9 – Working with Parameters

9.1 Creating parameters
9.2 Parameters in calculations
9.3 Using parameters with filters
9.4 Column selection parameters
9.5 Chart selection parameters
9.6 How to use parameters in the filter session
9.7 How to use parameters in calculated fields
9.8 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

Module 10 – Charts and Graphs

10.1 Dual axes graphs
10.2 Histograms
10.3 Single and dual axes
10.4 Box plot
10.5 Charts: motion, Pareto, funnel, pie, bar, line, bubble, bullet, scatter, and waterfall charts
10.6 Maps: tree and heat maps
10.7 Market basket analysis (MBA)
10.8 Using Show me
10.9 Text table and highlighted table

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

Module 11 – Dashboards and Stories

11.1 Building and formatting a dashboard using size, objects, views, filters, and legends
11.2 Best practices for making creative as well as interactive dashboards using the actions
11.3 Creating stories, including the intro of story points
11.4 Creating as well as updating the story points
11.5 Adding catchy visuals in stories
11.6 Adding annotations with descriptions; dashboards and stories
11.7 What is dashboard?
11.8 Highlight actions, URL actions, and filter actions
11.9 Selecting and clearing values
11.10 Best practices to create dashboards
11.11 Dashboard examples; using Tableau workspace and Tableau interface
11.12 Learning about Tableau joins
11.13 Types of joins
11.14 Tableau field types
11.15 Saving as well as publishing data source
11.16 Live vs extract connection
11.17 Various file types

Hands-on Exercise:

1. Create a Tableau dashboard view, include legends, objects, and filters
2. Make the dashboard interactive
3. Use visual effects, annotations, and descriptions to create and edit a story

Module 12 – Tableau Prep

12.1 Introduction to Tableau Prep
12.2 How Tableau Prep helps quickly combine join, shape, and clean data for analysis
12.3 Creation of smart examples with Tableau Prep
12.4 Getting deeper insights into the data with great visual experience
12.5 Making data preparation simpler and accessible
12.6 Integrating Tableau Prep with Tableau analytical workflow
12.7 Understanding the seamless process from data preparation to analysis with Tableau Prep

Module 13 – Integration of Tableau with R

13.1 Introduction to R language
13.2 Applications and use cases of R
13.3 Deploying R on the Tableau platform
13.4 Learning R functions in Tableau

Hands-on Exercise:

1. Deploy R on Tableau
2. Create a line graph using R interface