Tableau Desktop Basics

Understanding Tableau Desktop basics is essential for creating effective visualizations and analysing data.

We will be covering fundamental concepts in Tableau Desktop that would serve as a base for intermediate and advance learning and industry experience projects

What Will You Learn?

• Tableau Desktop UI components
• Data Connection and Import
• Dimensions and Measures
• Marks and Filters
• Visualization Types
• Calculations and Expressions
• Dashboard Interactivity
• Publishing and Sharing
• Formatting and Customization
• Tableau Community and Resources

Completing a Tableau Desktop basics course in data analytics can provide numerous benefits for individuals seeking to enhance their data visualization and analytics skills. Here are some key advantages of undertaking such a course:

1. Data Visualization Proficiency:
   • Gain a solid understanding of the principles of data visualization and how to create compelling and effective visualizations using Tableau Desktop.
2. Hands-On Experience:
   • Acquire practical, hands-on experience in working with Tableau Desktop, allowing you to apply theoretical concepts to real-world data scenarios.
3. Efficient Data Exploration:
   • Learn how to efficiently explore and analyze large datasets using Tableau, enabling you to uncover insights and patterns in your data.
4. Interactive Dashboards:
   • Master the art of building interactive and dynamic dashboards that facilitate data-driven decision-making and communication.
5. Data Connection Skills:
   • Develop skills in connecting Tableau to various data sources, including databases, spreadsheets, and web data connectors.
6. Data Transformation and Cleaning:
   • Learn techniques for transforming and cleaning data within Tableau, ensuring that the data is suitable for analysis and visualization.
7. Basic Calculations and Expressions:
   • Understand how to create basic calculations and expressions in Tableau, allowing for the customization of data fields to meet specific analysis requirements.
8. Mapping and Geographic Analysis:
   • Explore Tableau’s mapping capabilities to visualize geographical data and perform location-based analysis.
9. Data Storytelling:
   • Acquire skills in data storytelling, enabling you to convey insights effectively to both technical and non-technical stakeholders through visualizations.
10. Collaboration and Sharing:
    • Learn how to collaborate with others by sharing and publishing Tableau workbooks, dashboards, and visualizations, fostering a collaborative analytics environment.
11. Automation and Scheduling:
    • Understand how to automate tasks and schedule data refreshes within Tableau, ensuring that your visualizations stay up-to-date with the latest data.
12. Introduction to Advanced Features:
    • Gain exposure to basic concepts that serve as a foundation for more advanced Tableau features, paving the way for further learning and specialization.
13. Industry-Relevant Skills:
    • Acquire skills that are highly relevant in industries such as business intelligence, data analysis, and data-driven decision-making.
14. Career Advancement:
    • Enhance your professional profile and increase your marketability by adding Tableau Desktop skills to your resume. Tableau is widely used across various industries, making it a valuable skill for career advancement.
15. Preparation for Advanced Courses:
    • Lay the groundwork for more advanced Tableau courses and certifications, allowing you to deepen your knowledge and expertise in data analytics.

Check out our other courses here:  https://www.infiniteskillshub.com.au/courses/