Elite

Tableau

About Course

  • In this course you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data.
  • You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data.
  • The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.

Description

  • Tableau connects and extracts the data stored in various places. It can pull data from any platform . A simple database such as an excel, pdf, to a complex database like Oracle, a database in the cloud such as Amazon webs services, Microsoft Azure SQL database, Google Cloud SQL and various other data sources can be extracted by Tableau. The pulled data can be either connected live or extracted to the Tableau's data engine, Tableau Desktop. This is where the Data analyst, data engineer work with the data that was pulled up and develop visualizations. 
  • Data Analytics in Tableau tool can be classified into two section.
  • Developer Tools: The Tableau tools that are used for development such as the creation of dashboards, charts, report generation, visualization . The Tableau products, under this category, are the Tableau Desktop and the Tableau Public.
  • Sharing Tools: The purpose of Tableau products is sharing the visualizations, reports, dashboards that were created using the developer tools. Products that fall into this category are Tableau Online, Server, and Reader.
  • The best features of Tableau software are
  • The best features of Tableau software are
  • Data Blending
  • Real time analysis
  • Collaboration of data

What will I learn

  • Examine, navigate, and learn to use the various features of Tableau
  • Assess the quality of the data and perform exploratory analysis
  • Create and design visualizations and dashboards for your intended audience
  • Combine the data to and follow the best practices to present your story

Topics for this course

    1. Different Tools existing in the market for Data Visualization
    2. Data Visualization using Excel vs Tableau
    3. What is Tableau?
    4. Tableau Products
    5. Why Tableau?
    6. Dashboard Examples
    7. Tableau source page /Connecting with Data
    8. Tableau Workspace
    9. Workbook and Worksheets
    10. Tableau Files and File Types
    11. Exercises
    1. Discrete/Continuous
    2. Marks card
    3. Show me
    4. Date handling
    5. Cross database joins
    6. Data blending
    7. Exercises
    8. Learnings
    1. Calculated fields
    2. Axes
    3. Dual axis chart
    4. Type of calculations
    5. Row vs Aggregate level calculations
    6. Waterfall chart
    7. Pareto chart – Bonus
    8. Reference Lines
    9. Background Maps & Map option
    10. Exercises
    11. Learning
    1. Order of Operations
    2. Parameters
    3. Sheet swapping
    4. Bins
    5. Exercises
    6. Learnings
    1. Objects in Dashboards
    2. Actions
    3. Formatting
    4. Exercises
    5. Learnings
    1. Requirement Understanding
    2. KPI building
    3. Creating worksheets
    4. Creating Dashboard

Target Audience

  • who want to improve their programming skills by applying industry best practices in their daily work.
  • Individuals looking to learn Tableau
  • Project Managers, Software architects and Development Team Leaders, who want to implement or improve a software development process within a project, and who want to define a project or company-wide set of recommended tools and best practices.
  • Project Managers, Software architects and Development Team Leaders, who want to implement or improve a software development process within a project, and who want to define a project or company-wide set of recommended tools and best practices.
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