Power BI - Data Modeling (2024)

🎉 Power BI - Data Modeling (2024) 📊

Course Headline: Dive into the world of data with our comprehensive course on building effective data models using Power BI. Expert Microsoft Trainer, Kathy Snyder, will guide you through the intricacies of connecting to various data sources, transforming data, and establishing robust relationships within your Power BI projects.

Course Description: Are you ready to harness the power of data in a whole new way? In this course, "Power BI - Data Modeling (2024)," you'll learn the essentials of designing and building a well-structured data model within Power BI. This is not just about reporting; it's about understanding your data at a deeper level to make informed decisions that drive business success.

Why Take This Course?

• Connectivity: Learn how to connect to diverse data sources, from Excel files and CSV documents to SharePoint lists, and even enter data manually for analysis.
• Data Management: Gain insights into data integrity and manipulate data types effectively.
• Transformation Techniques: Master the art of cleaning and transforming your data using multiple tools within Power BI.
• Relationship Management: Understand how to manage relationships between tables, ensuring your data model is both efficient and scalable.

🎓 Topics Covered:

1. Data Sources Availability: Identify which data sources can be connected in Power BI.
2. Direct Query vs. Importing Data: Discover the difference between these two modes and when to use them.
3. Data Load Settings: Determine the best settings for importing your data sources.
4. Excel & CSV Connections: Connect to Excel files, CSV documents, and SharePoint lists with ease.
5. Manual Data Entry: Learn how to enter data as a new source in your Power BI model.
6. Data Integrity Checks: Preview and assess the quality, distribution, and profile of your data columns.
7. Data Type Modifications: Change data types to fit your analysis needs.
8. Table Merging: Combine tables to create a comprehensive data view.
9. Column Splitting: Break down fields by a specified delimiter for more granular analysis.
10. Unpivoting Data: Flatten hierarchical or nested data into a single table for easier manipulation and reporting.
11. Relationship Management: Build strong relationships between tables and understand cardinality to optimize your data model's performance.

By the end of this course, you will be equipped with the knowledge and skills necessary to create and manage effective data models within Power BI. Whether you're an aspiring data analyst, a business intelligence professional, or anyone interested in data-driven decision-making, this course is your gateway to unlocking the full potential of your data.

Enroll now and take the first step towards becoming a Power BI Data Modeling expert! 🚀

Instructor Bio: Kathy Snyder is a renowned Microsoft Trainer with extensive experience in data analytics and Power BI. With a passion for transforming complex data into understandable insights, Kathy brings a wealth of practical knowledge to her teachings, making her an invaluable resource for students looking to master data modeling with Power BI.