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Details

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:
  • 4.7  hours of Online self-paced learning
  • 32  hours of instructor-led training
  • 4 industry-based course-end projects
Delivery Mode:

Blended - Online self-paced learning and live virtual classroom

Prerequisites:

There are no prerequisites for taking this training.

  • 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

Outline

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

Schedules

No. of Days: 3
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