Tableau Desktop Data Analyst

Categories: Data Analytics
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About Course

Typical roles and responsibilities of a Tableau Desktop data analyst in the Industry are as follows:

  1. Data Analysis: Utilize Tableau Desktop to perform in-depth analysis of data sets, identifying trends, patterns, and correlations.
  2. Data Visualization: Design and develop visually appealing and interactive dashboards using Tableau Desktop to communicate complex data insights in a clear and concise manner.
  3. Dashboard Development: Create and maintain Tableau dashboards that provide actionable insights to stakeholders, ensuring they are user-friendly and intuitive.
  4. Data Integration: Integrate data from various sources into Tableau Desktop for analysis, including databases, spreadsheets, and other data repositories.
  5. Data Cleansing and Preparation: Cleanse and prepare data for analysis within Tableau Desktop, including data transformation, aggregation, and cleansing to ensure accuracy and consistency.
  6. Performance Optimization: Optimize Tableau Desktop dashboards and workbooks for performance, ensuring fast load times and responsiveness.
  7. Data Modeling: Develop data models within Tableau Desktop to support complex analyses and calculations, including creating calculated fields, sets, and parameters.
  8. Collaboration: Collaborate with other team members, including data engineers, data scientists, and business stakeholders, to understand data requirements and deliver actionable insights.
  9. Documentation: Document Tableau Desktop workflows, data sources, and calculations for future reference and knowledge sharing within the team.
  10. Training and Support: Provide training and support to users on Tableau Desktop best practices, tips, and tricks to empower them to explore and analyze data effectively.
  11. Stay Updated: Stay updated with the latest Tableau Desktop features and enhancements, incorporating them into workflows to improve efficiency and effectiveness.
  12. Quality Assurance: Conduct quality assurance checks on Tableau Desktop dashboards and analyses to ensure accuracy, reliability, and consistency of results.
  13. Problem Solving: Troubleshoot and resolve issues related to data analysis, visualization, and performance within Tableau Desktop.
  14. Ad Hoc Analysis: Perform ad hoc analysis and reporting requests using Tableau Desktop to address immediate business needs and inquiries.
  15. Data Governance: Adhere to data governance policies and standards when working with sensitive or confidential data within Tableau Desktop.

Other Courses to learn the product

https://www.infiniteskillshub.com.au/courses/tableau-desktop-basics/?v=3a1ed7090bfa

https://www.infiniteskillshub.com.au/courses/intermediate-tableau-desktop-skills/?v=3a1ed7090bfa

https://www.infiniteskillshub.com.au/courses/advanced-tableau-desktop/?v=3a1ed7090bfa

https://www.infiniteskillshub.com.au/courses/tableau-desktop-data-analyst/?v=3a1ed7090bfa

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What Will You Learn?

  • Data Analysis: Utilize Tableau Desktop to perform in-depth analysis of data sets, identifying trends, patterns, and correlations.
  • Data Visualization: Design and develop visually appealing and interactive dashboards using Tableau Desktop to communicate complex data insights in a clear and concise manner.
  • Dashboard Development: Create and maintain Tableau dashboards that provide actionable insights to stakeholders, ensuring they are user-friendly and intuitive.
  • Data Integration: Integrate data from various sources into Tableau Desktop for analysis, including databases, spreadsheets, and other data repositories.
  • Data Cleansing and Preparation: Cleanse and prepare data for analysis within Tableau Desktop, including data transformation, aggregation, and cleansing to ensure accuracy and consistency.
  • Performance Optimization: Optimize Tableau Desktop dashboards and workbooks for performance, ensuring fast load times and responsiveness.
  • Data Modeling: Develop data models within Tableau Desktop to support complex analyses and calculations, including creating calculated fields, sets, and parameters.
  • Collaboration: Collaborate with other team members, including data engineers, data scientists, and business stakeholders, to understand data requirements and deliver actionable insights.
  • Documentation: Document Tableau Desktop workflows, data sources, and calculations for future reference and knowledge sharing within the team.
  • Training and Support: Provide training and support to users on Tableau Desktop best practices, tips, and tricks to empower them to explore and analyze data effectively.
  • Stay Updated: Stay updated with the latest Tableau Desktop features and enhancements, incorporating them into workflows to improve efficiency and effectiveness.
  • Quality Assurance: Conduct quality assurance checks on Tableau Desktop dashboards and analyses to ensure accuracy, reliability, and consistency of results.
  • Problem Solving: Troubleshoot and resolve issues related to data analysis, visualization, and performance within Tableau Desktop.
  • Ad Hoc Analysis: Perform ad hoc analysis and reporting requests using Tableau Desktop to address immediate business needs and inquiries.
  • Data Governance: Adhere to data governance policies and standards when working with sensitive or confidential data within Tableau Desktop.

Course Content

Choosing the right type of chart for analysis

  • Comparison of Values
    00:00
  • Correlation between measures
    00:00
  • Comparing exact values
    00:00
  • Comparing two measures
    00:00
  • Visualizations for Distributions
    00:00

Design aspects of a dashboard

Industry Project (Example 1: ETL dashboard)

Industry Project ( Sales Dashboard)

Governance

Assessment

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