Data Science for Strategic Business Decision Making
25/10/2024Data Science for Business Leaders: Strategic Applications and Performance Measurement
26/10/2024Advanced Data Visualization and Predictive Analytics with Power BI
£4,000.00
Overview:
This course provides advanced training in Power BI, covering data visualization, DAX for complex calculations, AI/ML integration, and performance optimization. Participants will learn how to design interactive, narrative-driven dashboards, optimize reports for large datasets, and leverage Power BI’s machine learning features to build predictive models. The curriculum emphasizes storytelling, collaboration, and data governance, preparing participants to deliver high-impact data visualizations in an enterprise environment.
Program Objectives:
By the end of this course, participants will be able to:
- Design advanced, interactive dashboards and implement user-friendly, dynamic elements in Power BI.
- Perform complex calculations using DAX for enhanced data manipulation and insights.
- Leverage Power BI’s AutoML capabilities to build and deploy predictive analytics models.
- Optimize Power BI reports for large datasets and real-time data streaming.
- Apply UX and storytelling principles to create visually compelling, data-driven narratives.
- Manage collaboration, data governance, and security roles effectively within Power BI.
Target Audience:
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- Data Analysts, Business Analysts, and Business Intelligence Professionals
- IT Professionals, Data Engineers, and Decision Makers
- Professionals seeking advanced Power BI skills for business intelligence
Program Outline:
Day 1: Advanced Dashboard Design and UX Principles in Power BI
- Dashboard Components and Layouts – Creating effective layouts with visual hierarchy and UX principles.
- Customizing Visual Elements – Applying themes, branding, and custom visuals for a cohesive look.
- Dynamic Dashboards – Using slicers, filters, bookmarks, and navigation features to enhance interactivity.
- Introduction to Data Storytelling – Crafting narratives that guide users through insights.
- Hands-On Exercise: Designing an advanced, interactive dashboard with UX and storytelling elements.
- Reflection & Review: Best practices for dashboard design, usability, and user experience.
Day 2: DAX for Advanced Calculations and Data Storytelling Techniques
- DAX Basics and Advanced Functions – Aggregations, filtering, and data manipulation.
- Time Intelligence in DAX – Leveraging date functions for time-based analytics.
- Calculated Columns vs. Measures – Best practices for choosing the appropriate calculation method.
- Storytelling with Data – Building visuals that effectively communicate insights to stakeholders.
- Hands-On Exercise: Using DAX for complex calculations and applying storytelling techniques in reports.
- Reflection & Review: Feedback on DAX applications and visualization techniques.
Day 3: Custom Visualizations, AutoML, and AI Integration
- Custom Visuals – Implementing visuals from the marketplace and creating custom designs for unique data representation.
- Integrating R and Python – Using scripts to enhance Power BI with advanced visuals and calculations.
- Introduction to AutoML and AI Integration – Basics of deploying predictive analytics using Power BI’s AI features.
- Embedding Power BI Reports – Techniques for embedding reports in websites and applications.
- Hands-On Exercise: Embedding AutoML models and AI-driven visuals in Power BI reports.
- Reflection & Review: Exploring the value of AI/ML in predictive analytics for business insights.
Day 4: Real-Time Data Analytics and Big Data Optimization
- Connecting to Live Data Sources – Working with APIs, SQL, and Azure sources for live data feeds.
- Real-Time Data Streaming – Setting up and designing dashboards for real-time insights.
- Big Data Management – Strategies for handling large datasets, including Direct Query and Import Mode.
- Performance Optimization – Techniques to improve report rendering and speed for real-time data.
- Hands-On Exercise: Building a real-time dashboard with optimized performance for large datasets.
- Reflection & Review: Feedback on real-time analytics and big data handling in Power BI.
Day 5: Collaboration, Data Governance, and Final Project
- Collaboration and Data Governance – Managing workspaces, roles, and security permissions in Power BI.
- Enhancing User Interaction – Adding tooltips, drillthroughs, and dynamic report elements.
- Best Practices in Visual Design – Guidelines for color, layout, and data clarity in storytelling.
- Capstone Project: Team collaboration to build and present a data-driven story with Power BI’s collaborative features.
- Reflection & Review: Final presentations, feedback on governance practices, and discussion on future trends in data visualization.