Tableau Certification (Data Analysis) - eLearning

450,00 EUR

  • 15 hours
eLearning

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.

Course timeline

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  1. Getting Started with Tabeau

    Lesson 01

    • Getting Started with Excel
    • Download and Install Tableau Public
    • Load Data from Excel
    • User Interface of Tableau
    • Key Takeaways
  2. Core Tableau in Topics

    Lesson 02

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

    Lesson 03

    • 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
  4. Working with Metadata

    Lesson 04

    • Working with Metadata
    • Data Types
    • Rename, Hide, Unhide and Sort Columns
    • Default Properties of Fields
    • Key Takeaways
  5. Filters in Tableau

    Lesson 05

    • 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
  6. Applying Analytics to the worksheet

    Lesson 06

    • 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
  7. Dashboard in Tableau

    Lesson 07

    • 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
  8. Modifications to Data Connections

    Lesson 08

    • Modifications to Data Connections
    • Edit Data Source
    • Unions
    • Joins
    • Data blending
    • Key Takeaways
  9. Introduction to Level of Details in Tableau (LODS)

    Lesson 09

    • Level of Details
    • Introduction to Level of Detail (LODs)
    • Fixed LOD
    • Include LOD
    • Exclude LOD
    • Publish to Tableau Public
    • Key Takeaways
  10. Comparative Study of Countries

    End Project 01

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

  11. Sales Performance Analysis

    End Project 02

    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.

  12. Costumer Analysis

    End Project 03

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

  13. Product Analysis

    End Project 04

    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.

  14. Sales Dashboard

    End Project 05

    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.

Learning Outcomes

At the end of this Tableau Certification eLearning Course, you will be able to:

Expert on techniques

Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto

Metadata & Usage

Understand metadata and its usage

Creating & using parameters

Work with Filter, Parameters, and Sets Master special field types and Tableau-generated fields and the process of creating and using parameters.

Data analysis tools

Learn how to build charts, interactive dashboards, story interfaces, and how to share your work

Concepts regarding Tableau

Master the concepts of data blending, create data extracts and organize and format data

Arithmetic & diverse calculation methods

Master arithmetic, logical, table, and LOD calculations

Who Should Enroll in This Program?

There are no prerequisites for taking this training

Analytics professonal

Data Scientist

Data Analysts

Business Intelligent

Project Managers

IT developers and testers

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