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    Learn NoSQL

    Tableau Free Course with Certificate

    Convert data into successful business insights with our Tableau Free Training course!

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    Prerequisites

    Tableau Course Prerequisites
    • Basic knowledge of Microsoft Excel and R
    • Familiarity with fundamental data analysis concepts
    • Comfort working with charts, tables, and simple datasets
    Course Prerequisites
    • 450,000 +
      Professionals trained
    • 250+
      Workshops every month
    • 100+
      Countries and counting

    Get into Tableau

    Unveil the Power of Data Visualization Using Tableu

    12.5 Hours of On-Demand Learning

    Practice with Guided Hands-On Exercises

    Elevate your learning experience with Flash Cards

    Test Your Learning with Recall Quizzes

    Unlock Knowledge with Interactive eBooks

    Accelerate Progress with Auto-Graded Assessments

    Here's your chance to learn Tableau free of cost with our comprehensive course, which will unravel the world of data visualization. Discover the power of Tableau as you progress from foundational concepts to crafting captivating visualizations that translate data into meaningful insights.

    The course commences by introducing you to Tableau's user-friendly interface, guiding you through its product suite and diverse file types. Dive into understanding dimensions, measures, and data types, honing your skills to create insightful visualizations. Learn to manage data connections seamlessly, from common file-based sources to SQL databases, ensuring a robust foundation.

    This Tableau free training will teach you to prepare your data effectively with tools like Data Interpreter and pivoting, and delve into fundamental visualization techniques like crosstabs, heat maps, and versatile chart types. By the course's end, you'll wield the power of Tableau, equipped to transform raw data into actionable knowledge. Unlike other Tableau free courses, you will experience hands-on learning and real-world applications, setting the stage for you to master data visualization in the best way possible.

    WHY KNOWLEDGEHUT?

    The KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, projects, assignments and more.

    Continual Support

    Learn better with support along the way. Get 24/7 help, stay unblocked and ramp up your skills.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter, and IBM.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Six months of post-training mentor guidance to overcome challenges in your web development career.

    Who Can Attend the Tableau Course

    Who Should Attend
    • Data Analysts
    • Data Analysts
    • Data Engineers
    • Managers and Executives
    • Students
    • Business Intelligence Professionals
    Can I learn
    Tableau Curriculum

    1. Introduction to Data Visualization and Tableau

    Learning Objective:

    Initiate your journey by downloading Tableau and gaining an understanding of data visualization's significance. Explore Tableau's product suite, interface, and diverse file types.

    Topics

    • Downloading Tableau
    • Introduction Data Visualization
    • Introduction to Tableau
    • Tableau Product Suite
    • Tableau File Types
    • Tableau Interface

    2. Understanding Tableau Building Blocks

    Learning Objective:

    Uncover the foundational elements of Tableau, including dimensions, measures, and their distinct characteristics. Grasp the essence of auto-generated fields, data types, aggregation, and granularity for insightful visualizations.

    Topics

    • Dimensions and Measures
    • Auto-Generated Fields
    • Data Types
    • Discrete and Continuous Fields
    • Aggregation
    • Granularity
    • Marks Card
    • Tableau Show Me

    3. Managing Data connections

    Learning Objective:

    Learn to establish data connections efficiently, from common file-based sources like Excel, CSV, and PDF files to connecting with SQL databases. Gain familiarity with the Tableau Metadata Grid.

    Topics

    • Common File-Based Connections (Excel, CSV)
    • Common File-Based Connections PDF Files
    • Connecting to SQL Database
    • Tableau Metadata Grid

    4. Prepare Data for Use

    Learning Objective:

    Discover tools to preprocess your data for optimal visualization. Navigate Data Interpreter, data pivoting, field splitting, various join methods, cross-database joins, unions, and essential data source filters.

    Topics

    • Data Interpreter
    • Pivot Your Data
    • Split Fields
    • Joins
    • Cross Database Joins
    • Union
    • Data Extracts
    • Data Source Filters

    5. Basic Data Visualization

    Learning Objective:

    Delve into fundamental data visualization techniques using Tableau. Create crosstabs, highlight tables, heat maps, and various chart types such as column, bar, line, dual-axis, and blended axis charts for comprehensive insights.

    Topics

    • Crosstabs
    • Crosstab with Multiple Measures
    • Highlight Tables
    • Heat Map
    • Column Chart
    • Horizontal Bar Chart
    • Stacked Column Chart
    • Stacked Bar Chart
    • Bar in Bar Chart
    • Line Chart
    • Line Chart - Discrete and Continuous
    • Dual Axis Charts
    • Blended Axis Charts

    FAQ's

    Frequently Asked Questions

    1. What is Tableau?

    Tableau is a powerful data visualization tool that transforms raw data into meaningful insights, enabling users to create interactive and dynamic visualizations. With its intuitive interface and drag-and-drop functionality, Tableau empowers individuals to analyze, interpret, and communicate complex data effectively. Whether you're a business analyst, data scientist, or a professional from any field, Tableau simplifies the process of generating interactive dashboards, reports, and charts, allowing you to uncover patterns, trends, and actionable insights from your data.

    2. Which is better, Excel or Tableau?

    Choosing between Excel and Tableau depends on your data analysis needs. Excel is suitable for small datasets and basic calculations. Tableau, on the other hand, excels at handling large datasets and complex visualizations. It offers interactive dashboards, data blending, and real-time updates for dynamic insights. While Excel is familiar and versatile, Tableau's specialized features make it ideal for advanced data exploration and storytelling. Consider your requirements and the scale of your analysis to determine the best fit for your tasks, with Tableau being the preferred choice for robust data visualization and analysis.

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