Analytics Tools [Week 19-22]

Learning Path for Power BI [Week 21]

1. Getting Started

  • Prerequisites:
    • Basic understanding of data concepts.
    • Familiarity with Microsoft Excel.

2. Key Features to Learn

  • Data Connectivity: Learn how to connect Power BI to various data sources, including Excel, databases, and cloud services.
  • Creating Reports:
    • Understand the interface and how to use it effectively.
    • Create various types of visualizations (charts, tables, maps).
  • Building Dashboards:
    • Combine multiple reports into a single dashboard.
    • Use slicers and filters for interactivity.
  • Data Modeling:
    • Learn about relationships between data tables and creating a data model.
    • Use DAX (Data Analysis Expressions) for advanced calculations.

3. Advanced Topics

  • Power Query: Learn about data transformation and cleansing using Power Query.
  • Power BI Service: Understand how to publish reports to the Power BI service for sharing and collaboration.
  • Advanced DAX: Explore complex DAX formulas for deeper data analysis.

4. Resources for Learning Power BI

  • Official Power BI Learning: Microsoft offers a wealth of free resources and documentation.
  • Online Courses: Look for courses on platforms like Coursera, Udemy, and LinkedIn Learning.
  • Books: "The Definitive Guide to DAX" by Marco Russo and Alberto Ferrari is highly recommended.