Tableau Desktop Data Analyst
About Course
Typical roles and responsibilities of a Tableau Desktop data analyst in the Industry are as follows:
- 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.
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
Course Content
Choosing the right type of chart for analysis
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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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