PBI-130WA
Data Storytelling with Power BI Training
Go beyond data presentation and become a proficient data storyteller. This Power Bi course teaches learners how to craft data-driven narratives that effectively engage and inform any audience. Learners progress from the fundamentals of data storytelling to creating impactful visualizations and reports that clearly depict past trends and performance, opening up new insights and predicting future trends.
Course Details
Duration
2 days
Prerequisites
Familiarity with Excel and Power BI is useful but not necessary.
Skills Gained
- Master data storytelling to create compelling narratives that resonate with diverse audiences
- Understand and apply different types of data analytics to derive deeper insights from data
- Create effective and engaging visualizations to communicate information clearly and impactfully
- Manage the end-to-end data process from preparation to visualization and distribution
- Leverage AI to enhance data analysis and uncover hidden patterns
- Apply data storytelling techniques to real-world scenarios and solve business problems
- Communicate data insights effectively through interactive reports and dashboards
Course Outline
- Understanding Data Storytelling and Data Analytics
- What is Data Storytelling?
- The three key elements of data storytelling
- Identify your objective and target audience
- Craft a clear narrative flow
- Define a story arc
- Understanding the role of Data Analytics in Data Storytelling
- Distinguishing Between Descriptive, Diagnostic, Predictive, Prescriptive, and Cognitive Analytics
- Selecting the right data visualization
- Visualization mistakes to avoid
- 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
- Your Story: Summarizing Historical Data to Provide Insights
- 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
- Your Story: Identifying the Reasons Behind Past Events and Patterns
- Identifying relationships and correlations between variables
- Analyzing data distributions
- Visualizing data variability and identifying outliers
- Exploring details and root causes
- Your Story: Make Informed Forecasts About Future Events and Trends
- Utilizing predictive modeling for future trends
- Predicting outcomes based on historical data
- Segmenting data and identifying patterns
- Identifying unusual data points
- Your Story: Recommend Specific Actions
- Implementing scenario analysis and decision support
- Identifying factors impacting a specific outcome
- Visualizing paths and outcomes based on decisions
- Optimization and goal-based analysis
- Your Story: Analyzing Data in a Human-like Manner
- Interact with data using plain language
- Using built-in AI visuals
- Overview of Sentiment Analysis and Image Recognition
- Creating Engaging Stories with Interactive Elements
- 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
- Delivering Data Insights
- Publishing Reports
- Creating Dashboards and Metrics/Scorecards
- Packaging as an Application
- Effective Distribution Strategies
- Consuming Insights and Making Informed Decisions
- Data Storytelling Best Practices
- Context is everything!
- Data visualization decluttering best practices
- Using text appropriately
- Visualization mistakes to avoid
- Conclusion
