Microsoft Power BI for Advanced Data Transformations
Microsoft Power BI for Advanced Data Transformations, available at $69.99, has an average rating of 4.53, with 54 lectures, 5 quizzes, based on 1238 reviews, and has 14351 subscribers.
You will learn about Master advanced techniques in the Power BI query editor for optimized data handling. Gain expertise in 'M' code and the advanced editor for efficient data transformation. Learn to implement advanced data cleaning and data modeling strategies in Power BI. Understand and execute effective data management for comprehensive data analytics. Develop an analytical mindset to create correct relationships within your data model. Implement organized and intuitive data model layouts for diverse data scenarios. This course is ideal for individuals who are Power BI users looking to enhance their skills in advanced data transformations. or Data Analysts aiming to improve their data modeling and transformation techniques. or Reporting Managers seeking to create more effective and data-driven reports. or Business Intelligence enthusiasts who want to deepen their understanding of Power BI. or Anyone interested in mastering advanced concepts in Power BI for career advancement. It is particularly useful for Power BI users looking to enhance their skills in advanced data transformations. or Data Analysts aiming to improve their data modeling and transformation techniques. or Reporting Managers seeking to create more effective and data-driven reports. or Business Intelligence enthusiasts who want to deepen their understanding of Power BI. or Anyone interested in mastering advanced concepts in Power BI for career advancement.
Enroll now: Microsoft Power BI for Advanced Data Transformations
Summary
Title: Microsoft Power BI for Advanced Data Transformations
Price: $69.99
Average Rating: 4.53
Number of Lectures: 54
Number of Quizzes: 5
Number of Published Lectures: 52
Number of Published Quizzes: 5
Number of Curriculum Items: 60
Number of Published Curriculum Objects: 58
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Master advanced techniques in the Power BI query editor for optimized data handling.
- Gain expertise in 'M' code and the advanced editor for efficient data transformation.
- Learn to implement advanced data cleaning and data modeling strategies in Power BI.
- Understand and execute effective data management for comprehensive data analytics.
- Develop an analytical mindset to create correct relationships within your data model.
- Implement organized and intuitive data model layouts for diverse data scenarios.
Who Should Attend
- Power BI users looking to enhance their skills in advanced data transformations.
- Data Analysts aiming to improve their data modeling and transformation techniques.
- Reporting Managers seeking to create more effective and data-driven reports.
- Business Intelligence enthusiasts who want to deepen their understanding of Power BI.
- Anyone interested in mastering advanced concepts in Power BI for career advancement.
Target Audiences
- Power BI users looking to enhance their skills in advanced data transformations.
- Data Analysts aiming to improve their data modeling and transformation techniques.
- Reporting Managers seeking to create more effective and data-driven reports.
- Business Intelligence enthusiasts who want to deepen their understanding of Power BI.
- Anyone interested in mastering advanced concepts in Power BI for career advancement.
Deepen your understanding of data transformation and optimization techniques with our advanced Microsoft Power BI course.
Over 4 hours of high-quality video content, we break down the complexities of the Power BI query editor, illustrating its importance and impact on effective reporting solutions. From beginners to advanced users, this course broadens your comprehension of intermediate to advanced techniques, empowering you to adeptly clean, optimize, and connect your raw data tables into an efficient analytical model. We demystify the use of DAX formulas to extract accurate results that align with your analytical queries, thereby ensuring a rich, data-driven decision-making process.
We kickstart the course with best practice techniques for the query editor and proceed to detailed instructions on manipulating ‘M’ code and the advanced editor. Comprehensive lessons on row and column query transformation options lay a solid foundation for understanding complex data structures. The course then navigates through advanced data cleaning and transformation techniques, with hands-on examples demonstrating how to query multiple tables.
As we progress, you’ll learn strategic ways to think about and manage your data model, mastering techniques applicable to any data scenario. By course end, you will not only be proficient in advanced data modeling techniques, but also understand how to navigate complex modeling scenarios and situations, and effectively organize your models.
The course comes bundled with a demo dataset and model, offering a practical playground for you to experiment with advanced querying and data modeling techniques. As you embark on this course, expect an enriching journey into the advanced realms of Microsoft Power BI, transforming the way you perceive and use your data.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Learning Tips From Enterprise DNA
Lecture 2: Microsoft Power BI user-interface updates to be aware of
Lecture 3: Course Overview – Let's get started!
Lecture 4: Resource – Data Transformations and Modeling in Power BI
Lecture 5: Intriguing Power Query Facts
Lecture 6: Mastering Best Practices: Query Editor & Data Model
Lecture 7: Why It Is Essential To Use The Query Editor in Every Project
Lecture 8: A Practical Guide: Importing Data into the Query Editor
Lecture 9: Unleashing Query Editor: Tips & Techniques
Lecture 10: Demystifying M Code: A Comprehensive Understanding
Lecture 11: Troubleshooting in Power BI: A How-to Guide
Lecture 12: Crafting Order: Effective Organization within the Query Editor
Lecture 13: Introduction – Review
Lecture 14: Your Feedback Matters!
Chapter 2: Data transformation examples
Lecture 1: Intriguing Power Query Facts
Lecture 2: Column Transformations: Practical Examples
Lecture 3: Row Transformations: Hands-On Techniques
Lecture 4: Data Cleansing: How to Filter Unrequired Data from Tables
Lecture 5: Date Table Creation & Modification: An Interactive Approach
Lecture 6: Data transformation examples – Review
Lecture 7: Active Recall – Data Preparation and Cleaning
Chapter 3: Advanced transformation and querying techniques
Lecture 1: Power Query: Did You Know?
Lecture 2: Staging Queries: A Walkthrough
Lecture 3: Amplify Your Data: Appending Queries Explained
Lecture 4: Comprehensive Guide to Merging or Joining Queries
Lecture 5: Turning Data Around: Unpivoting Tables for Efficiency
Lecture 6: Extracting Insights: Creating Columns from Examples
Lecture 7: Custom & Conditional Columns: Building for Specific Needs
Lecture 8: Parameterizing Your Data: Creation & Utilization
Lecture 9: Boosting Functionality: Custom Functions in Power BI
Lecture 10: Synthesis: Merging Advanced Transformation Techniques
Lecture 11: Advanced transformation and querying techniques – Review
Lecture 12: Power Query: Beyond Basics
Chapter 4: Designing advanced data models
Lecture 1: Architecting Insights: Power BI Data Modeling Facts
Lecture 2: Data Modeling Goals: What We Aim to Achieve
Lecture 3: Crafting Efficient Data Models: Best Practices
Lecture 4: Tackling Complexity: Setting Up Intricate Models
Lecture 5: Handling Absent Lookup Tables: Alternate Approaches
Lecture 6: Constructing Measure Tables/Groups for Better Insights
Lecture 7: Leveraging Intermediary Tables in Your Model
Lecture 8: Supporting Tables: A Vital Component of Data Modeling
Lecture 9: Scenario Analysis with 'What If' Parameters
Lecture 10: Enhancing Lookup Tables: Adding Dimensions
Lecture 11: Architecting Multi-Layered Models: An Advanced Approach
Lecture 12: Designing advanced data models – Review
Chapter 5: Optimising your models
Lecture 1: Blueprints of Insight – Exploring Power BI Data Modeling
Lecture 2: Active vs Inactive Relationships: Deciphering the Differences
Lecture 3: Elevate Your Power BI Experience: Model Optimization Techniques
Lecture 4: Shrink Your File, Not Your Data: Reducing Model File Size
Lecture 5: Optimising your models – Review
Chapter 6: Course Assignments – Advanced Data Transformations
Chapter 7: Additional Resources – Complimentary guides for your data career
Lecture 1: 2024 Data Career Guide – Enterprise DNA
Lecture 2: Congratulations and Next Steps
Instructors
-
Enterprise DNA
Future-Proof Your Career: Master Data Skills | Upskill in AI -
Sam McKay
Unleashing Potential: The Power of Data Mastery
Rating Distribution
- 1 stars: 15 votes
- 2 stars: 31 votes
- 3 stars: 146 votes
- 4 stars: 473 votes
- 5 stars: 573 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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