Program Overview:

The Tableau Certification course teaches you how to build visualizations, organize data, and
design charts and dashboards to empower more meaningful business decisions. You’ll be
exposed to the concepts of Data Visualization, different combo charts, and stories, working
with filters, parameters, and sets, and building interactive dashboards.

Program Features:

• 56 hours of Applied Learning
• 4 industry-based course-end projects
• 2 simulation exams

Skills Covered:

• Tableau statistics
• Building interactive dashboards
• Arithmetic logical LOD calculations
• Heat map waterfall Pareto
• Clustering forecasting techniques
• Custom geocoding radial selections
• Special field types

Delivery Mode:

Online self-paced learning

Prerequisites:

There are no prerequisites for taking this training.

Target Audience:

• Analytics professionals
• IT developers and testers
• Data analysts
• Data scientists
• BI and reporting professionals
• Project managers

Key Learning Outcomes:

By the end of this Tableau training, you will be able to accomplish the following:

• Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto
• Understand metadata and its usage
• Work with Filter, Parameters, and Sets
• Master special field types and Tableau-generated fields and the process of creating and using parameters
• Learn how to build charts, interactive dashboards, story interfaces, and how to share your work
• Master the concepts of data blending, create data extracts and organize and format data
• Master arithmetic, logical, table, and LOD calculations

Certification Details and Criteria:

• Complete at least 85 percent of the online self-paced course or attendance of one live virtual classroom
• Earn a score of at least 75 percent in course-end assessment
• Successful evaluation of at least one project

Course Curriculum:

Lesson 01 – Getting Started with Tableau

• Getting Started with Excel
• Download and Install Tableau Public
• Load Data from Excel
• User Interface of Tableau
• Key Takeaways

Lesson 02 – Core Tableau in Topics

• Core Topics in Tableau
• Dimensions vs. Measures
• Discrete vs Continuous
• Application of Discrete and Continuous Fields
• Aggregation in Tableau
• Key Takeaways

Lesson 03 – Creating Charts in Tableau

• Creating Charts in Tableau
• Bar Chart
• Stacked Bar Chart
• Line Chart
• Scatter Plot
• Dual-Axis Charts
• Combined-Axis Charts
• Funnel Chart
• Cross Tabs
• Highlight Tables
• Maps
• Measure Names and Measure Values
• Key Takeaways
• Hands-on project: Customer Analysis

Lesson 04 – Working with Metadata

• Working with Metadata
• Data Types
• Rename, Hide, Unhide and Sort Columns
• Default Properties of Fields
• Key Takeaways

Lesson 05 – Filters in Tableau

• Filters in Tableau
• Dimension Filter
• Date Filter
• Measure Filter
• Visual filter
• Interactive Filter
• Data Source Filter
• Context Filter
• Key Takeaways
• Hands-on project Product Analysis

Lesson 06 – Applying Analytics to the worksheet

• Applying Analytics to the Worksheet
• Sets
• Parameters
• Group
• Calculated Fields
• Date Functions
• Text Functions
• Bins and Histogram
• Sort
• Reference and Trend Lines
• Table Calculations
• Pareto Chart
• Waterfall Chart
• Key Takeaways

Lesson 07 – Dashboard in Tableau

• Dashboards in Tableau
• Dashboard
• Working with Layout
• Objects in Dashboard
• Making Dashboards Interactive
• Actions in Dashboard
• Best Practices for Dashboard Creation
• Dashboard for Mobile
• Story
• Case Study
• Key Takeaways
• Hands-on project Sales Dashboard

Lesson 08 – Modifications to Data Connections

• Modifications to Data Connections
• Edit Data Source
• Unions
• Joins
• Data blending
• Key Takeaways

Lesson 09 – Introduction to Level of Details in Tableau (LODS)

• Level of Details
• Introduction to Level of Detail (LODs)
• Fixed LOD
• Include LOD
• Exclude LOD
• Publish to Tableau Public
• Key Takeaways

Course End Projects:

The course includes five real-world, industry-based projects. Successful evaluation of one of
the following projects is a part of the certification eligibility criteria:

Project 1: Comparative Study of Countries

Build a dashboard to do a comparative study on various parameters of different countries,
using the sample insurance and world development indicators dataset.

Domain: Insurance and Finance

 

Project 2: Sales Performance Analysis

Build a dashboard to present monthly sales performance by product segment and product
category for the purposes of identifying the areas that have met or exceeded their sales
targets.

Domain: E-commerce

 

Project 3: Customer Analysis

Build a dashboard that presents customer statistics, ranking them by profit ratio and sales.
Also, include statistics regarding profit performance by region.

Domain: Retail

 

Project 4: Product Analysis

Build a dashboard that presents sales by product category over time, with the ability to drill
down to the product and regional level to check if the products are correctly priced.

Domain: Retail

 

Project 5: Sales Dashboard

Build a dashboard that presents metrics about products (e.g. sales, profits, profit ratio)
and the trends of statistics over a given period of time, filtering down to a number of
geographic regions.

Domain: Retail