70-461, 761: Querying Microsoft SQL Server with Transact-SQL Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

A comprehensive, hands-on course designed to take beginners through the core components of Power BI, from data connectivity to advanced reporting and exam preparation. With a total time commitment of approximately 6 weeks, this course blends theoretical knowledge with practical exercises using real-world datasets. Each module builds on the previous one, culminating in a final project that demonstrates mastery of Power BI skills relevant to data analysis roles and the Microsoft 70-778 certification.

Module 1: Introduction to Power BI

Estimated time: 2 hours

  • Understand the Power BI ecosystem (Desktop, Service, and Mobile)
  • Explore key features and real-world applications
  • Learn the business value of data visualization

Module 2: Data Sources and Data Loading

Estimated time: 10 hours

  • Connect Power BI to sources like Excel, SQL, Web, and cloud services
  • Distinguish between Import and DirectQuery modes
  • Handle data refresh and connection settings

Module 3: Data Transformation with Power Query Editor

Estimated time: 10 hours

  • Clean, filter, and shape data using Power Query
  • Perform transformations like pivoting, merging, and splitting
  • Use the M language for custom data manipulation

Module 4: Data Modeling and Relationships

Estimated time: 10 hours

  • Define relationships between tables and build a logical model
  • Create hierarchies and understand cardinality
  • Apply star and snowflake schema concepts

Module 5: Writing DAX for Calculations and Measures

Estimated time: 10 hours

  • Write calculated columns and measures using DAX
  • Use functions like CALCULATE, FILTER, and SUMX
  • Apply advanced DAX for time intelligence and aggregation

Module 6: Building Powerful Visualizations

Estimated time: 10 hours

  • Design reports using charts, KPIs, maps, and tables
  • Customize visuals with conditional formatting and themes
  • Use slicers and tooltips to enhance interactivity

Module 7: Advanced Reporting Techniques

Estimated time: 10 hours

  • Implement drill-through, bookmarks, and report navigation
  • Use Q&A visuals and report-level filters
  • Optimize for user experience and storytelling

Module 8: Using the Power BI Service

Estimated time: 10 hours

  • Publish reports and create dashboards in Power BI Service
  • Manage workspaces and collaborate with teams
  • Automate refresh and monitor report usage metrics

Module 9: Row-Level Security and Data Governance

Estimated time: 2 hours

  • Apply row-level security (RLS) to control data access
  • Manage user roles and permissions
  • Understand compliance and governance best practices

Module 10: Exam Preparation for Microsoft 70-778

Estimated time: 2 hours

  • Review key exam concepts and domains
  • Practice with sample questions and mock tests
  • Learn strategies for managing time and analyzing questions

Prerequisites

  • Basic understanding of data concepts and databases
  • Familiarity with Microsoft Office applications
  • No prior Power BI experience required

What You'll Be Able to Do After

  • Master data visualization techniques using Power BI
  • Understand how to model and transform data effectively
  • Create dynamic dashboards and interactive reports
  • Gain familiarity with DAX (Data Analysis Expressions) for calculations
  • Prepare for the Microsoft 70-778 certification exam
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