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About Course
This course offers an in-depth exploration of Power BI for data analytics in Learning Management Systems (LMS). It is designed to help educators, data analysts, and LMS administrators use Power BI to transform raw data into interactive reports and dashboards, providing actionable insights to enhance student engagement, improve learning outcomes, and streamline educational administration.
The course covers the entire Power BI workflow—from connecting and transforming LMS data to creating interactive visualizations and publishing dashboards. Through hands-on projects, learners will acquire the skills needed to interpret and present LMS data effectively, empowering them to make data-driven decisions.
Learning Objectives:
By the end of this course, learners will be able to:
- Connect Power BI to various LMS data sources and transform data for analysis.
- Create interactive reports and dashboards with Power BI to monitor LMS metrics.
- Use advanced Power BI features (DAX, Power Query) to perform data transformations.
- Visualize key LMS metrics to gain insights into student performance and engagement.
- Publish and share dashboards for ongoing performance tracking and decision-making.
Course Outline
Module 1: Introduction to Power BI and Data Analytics for LMS
- Overview of Power BI and its role in LMS data analytics
- Understanding the Power BI interface and navigation
- Importing data from various LMS sources (e.g., CSV, Excel, SQL databases)
- Hands-on Practice: Connecting Power BI to LMS data
Module 2: Data Transformation with Power Query
- Introduction to Power Query Editor for data cleaning and transformation
- Transforming LMS data: Handling missing values, splitting/merging columns, and shaping data
- Combining data from multiple tables for a unified dataset
- Hands-on Practice: Cleaning and preparing LMS data with Power Query
Module 3: Data Modeling and DAX (Data Analysis Expressions)
- Basics of data modeling and creating relationships between tables (e.g., students, courses, grades)
- Introduction to DAX for creating calculated columns and measures
- Using common DAX functions to perform advanced calculations
- SUM, AVERAGE, COUNT, CALCULATE, FILTER
- Hands-on Practice: Building a data model to analyze LMS data
Module 4: Creating Visualizations and Building Reports
- Overview of Power BI visualization types and best practices for educational data
- Creating charts (e.g., bar, line, scatter, pie) to analyze LMS metrics
- Using slicers, filters, and drill-throughs for interactive analysis
- Hands-on Project: Building visualizations to explore student performance and engagement
Module 5: Developing Interactive Dashboards for LMS Insights
- Designing cohesive, interactive dashboards in Power BI
- Adding cards, KPIs, and gauge visuals to track key performance indicators
- Creating a user-friendly layout and customizing visuals for impact
- Hands-on Project: Designing an LMS dashboard to monitor student outcomes and engagement
Module 6: Advanced Data Analysis with DAX
- Advanced DAX functions for time intelligence (e.g., DATEADD, DATESYTD, SAMEPERIODLASTYEAR)
- Calculating year-over-year, month-over-month changes, and rolling averages
- Using DAX to create dynamic segmentation (e.g., student risk categories)
- Hands-on Practice: Applying advanced DAX to identify trends and at-risk students
Module 7: Publishing and Sharing Dashboards
- Publishing reports to Power BI Service for easy access and sharing
- Configuring scheduled data refresh for up-to-date dashboards
- Sharing and collaborating with stakeholders through workspaces and Power BI apps
- Best practices for managing access and permissions
- Hands-on Project: Publishing and sharing a final dashboard for LMS performance tracking
Module 8: Power BI Embedded Analytics (Optional Advanced Topic)
- Introduction to embedding Power BI reports in LMS or other platforms
- Configuring access and permissions for embedded Power BI reports
- Hands-on Project: Embedding an interactive LMS dashboard for institutional use
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