Analytics Tools [Week 19-22]

Learning Path for Tableau [Week 19]

1. Getting Started

  • Prerequisites:
    • Basic understanding of data concepts.
    • Familiarity with spreadsheets (Excel).

2. Key Features to Learn

  • Connecting to Data Sources: Learn how to connect Tableau to various data sources, including databases, Excel files, and cloud services.
  • Creating Visualizations:
    • Understand different types of visualizations (bar charts, line graphs, scatter plots).
    • Use drag-and-drop functionality to create visuals.
  • Building Dashboards:
    • Combine multiple visualizations into a single dashboard.
    • Use filters and actions for interactivity.
  • Calculations and Analytics:
    • Learn to create calculated fields for advanced metrics.
    • Utilize Tableau’s built-in analytics features (trend lines, forecasts).

3. Advanced Topics

  • Tableau Prep: Learn about data preparation using Tableau Prep for cleaning and transforming data before analysis.
  • Tableau Server: Understand how to publish and share dashboards securely with stakeholders.
  • Extensions and APIs: Explore the use of extensions and Tableau APIs for enhanced functionality.

4. Resources for Learning Tableau

  • Official Tableau Training: Tableau offers free and paid training resources on their website.
  • Online Courses: Platforms like Coursera, Udemy, and LinkedIn Learning have comprehensive courses.
  • Books: "Learning Tableau" by Joshua N. Milligan is a good starting point.