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Complete Tableau Course Overview

Complete Tableau Course Overview

Complete Tableau Course Overview

In today's data-driven world, the skill of working with Tableau is highly sought after, and there’s a noticeable demand for data-skilled workers. Koenig Solutions' Complete Tableau Course is designed to equip you with comprehensive knowledge of the Tableau platform, spanning data cleansing and preparation, ETL, storytelling, and Tableau Online.

Course Objectives include:
- Introduction to Tableau and its tools
- Data Load and Prep techniques
- Filtering Dates, Measures, and Strings
- Creating Maps and other visuals
- Advanced Filtering and Dashboard Elements

With practical applications of these topics, such as connecting data sources, performing logic analysis, and building interactive dashboards, this 40-hour course ensures you are well-prepared to meet industry demands.

Enroll today to become proficient in the complete Tableau ecosystem and excel in your career.

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Course Prerequisites

Prerequisites for Complete Tableau Course

To ensure a successful learning experience in our Complete Tableau course, we recommend that participants meet the following minimum prerequisites:


  • Basic Understanding of Data Concepts: Familiarity with basic data concepts such as tables, rows, columns, and basic data types (e.g., numbers, strings).
  • Basic Excel Skills: Comfort with using Microsoft Excel, including functionalities like data entry, basic formulas, and simple charts.
  • Computing Skills: Basic proficiency in using a computer and navigating through different software applications.
  • Analytical Thinking: An interest in and basic understanding of data analysis and visualization techniques.

These prerequisites will help you maximize your learning and enable you to effectively engage with the content of the Complete Tableau course. No prior Tableau experience is required.


Target Audience for Complete Tableau

The Complete Tableau course, running for 40 hours, caters to individuals looking to master data visualization and analysis using Tableau's comprehensive suite of tools.


  • Data Analysts
  • Business Intelligence Analysts
  • Data Scientists
  • IT Professionals
  • Business Analysts
  • Financial Analysts
  • Marketing Analysts
  • Project Managers
  • Tableau Developers
  • Management Consultants
  • Compliance Officers
  • Academic Researchers
  • Statisticians
  • Database Administrators
  • Reporting Specialists
  • Data Engineers
  • Dashboard Designers
  • Market Researchers


Learning Objectives - What you will Learn in this Complete Tableau?

Complete Tableau Course: Learning Objectives and Outcomes

In this course, students will master Tableau's comprehensive toolset to transform raw data into actionable insights. Topics include data preparation, advanced visualizations, and storytelling techniques to create impactful dashboards.

Learning Objectives and Outcomes:

  • Introduction to Tableau and Its Tools
    Understand the fundamentals of Tableau and its ecosystem, including Tableau Public.
  • Data Load and Preparation Techniques
    Learn how to load, clean, and prepare data within Tableau.
  • Grouping, Sorting, and Aggregations
    Explore various methods for grouping, sorting, and aggregating data.
  • Filtering Dates, Measures, and Strings
    Apply multiple filtering techniques to refine data analysis.
  • Pivots, Tables, and Connections
    Understand the differences and use-cases for pivot tables and other data connections.
  • Logic Analysis
    Utilize logical functions such as IF, AND, OR, and nested functions for in-depth data analysis.
  • Table Calculations
    Perform quick calculations like percentage differences and YTD growth directly within Tableau.
  • Advanced Maps and Visualizations
    Create sophisticated map visualizations including dual-axis and custom regions.
  • Dashboard Elements and Design
    Build interactive

Target Audience for Complete Tableau

The Complete Tableau course, running for 40 hours, caters to individuals looking to master data visualization and analysis using Tableau's comprehensive suite of tools.


  • Data Analysts
  • Business Intelligence Analysts
  • Data Scientists
  • IT Professionals
  • Business Analysts
  • Financial Analysts
  • Marketing Analysts
  • Project Managers
  • Tableau Developers
  • Management Consultants
  • Compliance Officers
  • Academic Researchers
  • Statisticians
  • Database Administrators
  • Reporting Specialists
  • Data Engineers
  • Dashboard Designers
  • Market Researchers


Learning Objectives - What you will Learn in this Complete Tableau?

Complete Tableau Course: Learning Objectives and Outcomes

In this course, students will master Tableau's comprehensive toolset to transform raw data into actionable insights. Topics include data preparation, advanced visualizations, and storytelling techniques to create impactful dashboards.

Learning Objectives and Outcomes:

  • Introduction to Tableau and Its Tools
    Understand the fundamentals of Tableau and its ecosystem, including Tableau Public.
  • Data Load and Preparation Techniques
    Learn how to load, clean, and prepare data within Tableau.
  • Grouping, Sorting, and Aggregations
    Explore various methods for grouping, sorting, and aggregating data.
  • Filtering Dates, Measures, and Strings
    Apply multiple filtering techniques to refine data analysis.
  • Pivots, Tables, and Connections
    Understand the differences and use-cases for pivot tables and other data connections.
  • Logic Analysis
    Utilize logical functions such as IF, AND, OR, and nested functions for in-depth data analysis.
  • Table Calculations
    Perform quick calculations like percentage differences and YTD growth directly within Tableau.
  • Advanced Maps and Visualizations
    Create sophisticated map visualizations including dual-axis and custom regions.
  • Dashboard Elements and Design
    Build interactive