Data Analysis and Visualization with Power BI

About the Course

Power BI has emerged as a leading tool in the realm of data analysis and visualization, providing professionals with robust capabilities to gather, analyse, and present data in meaningful ways. It allows users to connect to various data sources, making it easier to compile comprehensive datasets. The platform's powerful analytics tools enable in-depth data analysis, uncovering insights that might otherwise go unnoticed. Power BI's intuitive interface and rich visualization options help transform complex data into clear, interactive reports and dashboards. These features collectively empower professionals to confidently make data-driven decisions and communicate their findings effectively across their organisations.

This 5-day comprehensive Data Analysis and Visualization with Power BI training course is designed to equip delegates with the necessary skills to provide the full potential of Power BI, enabling them to transform raw data into actionable insights that drive strategic decision-making. It is structured to cover the entire spectrum of data analysis and visualization, from the basics of Power BI to advanced techniques that can handle large datasets and complex data relationships. Delegates will learn how to connect to various data sources, clean and transform data, and create compelling visualizations that can be easily shared across their organisations. They will have a wide-ranging understanding of how to leverage Power BI to interpret data and effectively communicate findings through interactive reports and dashboards. Also, they will enhance their ability to manage and interpret data accurately. Through hands-on exercises and practical applications, delegates will gain the confidence to apply their newfound skills to real-world scenarios, ensuring they can immediately contribute to their organisation's data strategy and drive business success.

Core Objectives

By the end of the training course, delegates will be able to:

• Identify and recall the essential functions and components of Power BI
• Understand the process of connecting Power BI to various data sources and the importance of data preparation
• Apply the ability to import, clean, and transform data within Power BI to create meaningful datasets
• Analyse complex datasets using Power BI’s analytical tools to uncover patterns, trends, and insights
• Evaluate the effectiveness of different visualization techniques in Power BI for communicating data insights
• Develop interactive dashboards and reports in Power BI that accurately reflect data analyses and support decision-making processes
• Present data findings through Power BI’s visualization tools, effectively conveying insights to stakeholders and team members

Training Approach

This highly interactive training course will combine theoretical instruction with practical, hands-on exercises. Delegates will use Power BI to apply learned concepts and techniques in real-world data analysis scenarios. Continuous feedback and collaborative learning sessions will ensure they can effectively utilise Power BI for their data analysis and visualization needs.

The Attendees

This training course is suitable for professionals responsible for making data-driven decisions and need to enhance their data analysis and visualization skills. These individuals come from diverse backgrounds, including data analysis, business intelligence, and various management roles, all seeking to leverage Power BI for more effective data insights and reporting.

Also, it will be valuable to the professionals but not limited to the following:

• Data Analysts
• Data Scientists
• IT Professionals
• Financial Analysts
• Marketing Analysts
• Operations Managers
• Project Managers
• HR Analysts
• Business Intelligence Professionals

Daily Discussion

DAY ONE: EXPLORING POWER BI AND DATA CAPTURE METHODS

• Overview of Power BI Tools and Interface
• Connecting to Data Sources
• Importing and Transforming Data
• Data Cleaning and Preparation
• Managing Data Relationships
• Using Power Query for Data Manipulation
• Understanding Data Models
• Introduction to Data Warehousing Concepts
• Handling Structured and Unstructured Data
• Data Import Strategies and Best Practices

DAY TWO: INNOVATIVE DATA ANALYSIS TECHNIQUES

• Utilising DAX for Data Analysis
• Creating Calculated Columns and Measures
• Implementing Time Intelligence Functions
• Advanced Filtering Techniques
• Using Power BI Desktop for In-Depth Analysis
• Analysing Big Data with Power BI
• Automating Data Refreshes
• Data Aggregation and Grouping Techniques
• Understanding and Applying Data Hierarchies
• Managing Large Datasets Efficiently

DAY THREE: DYNAMIC DATA VISUALIZATION APPROACHES

• Creating Geospatial Visualizations with Maps
• Using Charts and Graphs for Data Representation
• Implementing Advanced Chart Types
• Creating KPIs and Scorecards
• Utilising Report Themes and Layouts
• Best Practices for Data Visualization
• Using Infographics for Enhanced Data Presentation
• Integrating External Data Visualizations
• Enhancing Visualizations with Custom Scripts

DAY FOUR: BUILDING INTERACTIVE REPORTS AND DASHBOARDS

• Designing Effective Dashboards
• Creating Interactive Visualizations
• Utilising Power BI Visuals and Custom Visuals
• Implementing Drill-Through and Drill-Down Techniques
• Enhancing Reports with Tooltips and Slicers
• Using Bookmarks and Buttons for Navigation
• Applying Conditional Formatting
• Incorporating Advanced Analytics into Reports
• Developing Real-Time Dashboards
• Modifying Visual Interactions

DAY FIVE: SHARING, COLLABORATION, AND BEST PRACTICES

• Publishing Reports to Power BI Service
• Creating and Managing Workspaces
• Sharing Reports and Dashboards
• Setting Up Row-Level Security
• Collaborating with Teams using Power BI
• Integrating Power BI with Other Microsoft Tools
• Optimising Performance and Managing Data Size
• Monitoring and Auditing Power BI Usage
• Best Practices for Power BI Governance
• Planning and Implementing Power BI Deployment Strategies