Course Outline
Chapter 1. Understanding Data Analytics and Power BI
- Understanding Data Analytics
- Distinguishing Between Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive Analytics
- Explore the different roles in data
- Identify the tasks that are performed by a data analyst
- Getting Started with Power BI
- Describe the Power BI landscape of products and services
Chapter 2. From Raw Data to Informed Decision-Making: The End-to-End Process
- Understanding the End-to-End Process
- Data Preparation: Transforming Raw Data
- Data Modeling: Structuring for Analysis
- Visualization: Crafting Compelling Data Stories
- Publishing Reports
- Creating Dashboards and Metrics/Scorecards
- Packaging as an Application
- Effective Distribution Strategies
- Consuming Insights and Making Informed Decisions
Chapter 3. Creating a Basic Report in Power BI
- Get data from various data sources.
- Using Data Profiler to identify errors.
- Implementing a basic data model using Star Schema
- Create a report.
- Publish the report to Power BI Service
- Explore the report on Power BI Service
Chapter 4. Performing Descriptive Analytics with Power BI
- Your story: summarizing historical data to provide insights into what has happened and to understand past trends and patterns.
- Presenting raw data and statistics.
- Summarizing categorical data and displaying frequencies.
- Tracking trends and changes over time.
- Displaying proportions and percentages.
- Displaying patterns and correlations.
Chapter 5. Performing Diagnostic Analytics with Power BI
- Your story: identifying the reasons behind past events and patterns by examining data in depth to uncover root causes and correlations.
- Identifying relationships and correlations between variables.
- Analyzing data distributions.
- Visualizing data variability and identifying outliers.
- Exploring details and root causes.
Chapter 6. Performing Predictive Analytics with Power BI
- Your story: make informed forecasts about future events and trends, enabling organizations to strategically plan.
- Utilizing predictive modeling for future trends.
- Predicting outcomes based on historical data.
- Segmenting data and identifying patterns.
- Identifying unusual data points.
Chapter 7. Performing Prescriptive Analytics with Power BI
- Your story: recommend specific actions that organizations should take to optimize outcomes and make data-driven decisions.
- Implementing scenario analysis and decision support.
- Identifying factors impacting a specific outcome.
- Visualizing paths and outcomes based on decisions.
- Optimization and goal-based analysis.
Chapter 8. Performing Cognitive Analytics with Power BI
- Your story: analyzing data, providing insights, and making predictions in a human-like manner.
- Interact with data using plain language.
- Using built-in AI visuals.
- Overview of Sentiment Analysis and Image Recognition.
Chapter 9. Enhancing Reports in Power BI
- Understanding conditional formatting options.
- Adding images and hyperlinks to a table.
- Working with databars, sparklines, and indicators.
- Working with sync slicers.
- Working with tooltip popup.
- Implementing bookmarks, buttons, and selections.
Chapter 10. Delivering Data Insights
- Publishing Reports.
- Creating Dashboards and Metrics/Scorecards.
- Packaging as an Application.
- Effective Distribution Strategies.
- Consuming Insights and Making Informed Decisions.