Mô tả

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.

Bạn sẽ học được gì

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.

Yêu cầu

  • Participants need a basic understanding of Power BI and DAX, including familiarity with creating simple reports and basic data manipulation.
  • An active Power BI account is a prerequisite, as it will serve as the platform for all practical exercises and hands-on training throughout the course.
  • A fundamental understanding of data concepts and some experience in data analysis is required to effectively grasp the advanced concepts taught in the course.
  • Lastly, an enthusiasm for learning advanced data transformation and modeling techniques will greatly enhance the learning experience and outcomes.

Nội dung khoá học

7 sections

Introduction

15 lectures
Learning Tips From Enterprise DNA
01:33
Microsoft Power BI user-interface updates to be aware of
00:53
Course Overview - Let's get started!
00:26
Resource - Data Transformations and Modeling in Power BI
00:02
Intriguing Power Query Facts
00:28
Mastering Best Practices: Query Editor & Data Model
06:03
Why It Is Essential To Use The Query Editor in Every Project
04:53
A Practical Guide: Importing Data into the Query Editor
07:07
Unleashing Query Editor: Tips & Techniques
08:14
Demystifying M Code: A Comprehensive Understanding
10:47
Troubleshooting in Power BI: A How-to Guide
08:19
Crafting Order: Effective Organization within the Query Editor
04:11
Introduction - Review
01:13
Introduction - Quiz
3 questions
Your Feedback Matters!
00:40

Data transformation examples

8 lectures
Intriguing Power Query Facts
00:26
Column Transformations: Practical Examples
09:02
Row Transformations: Hands-On Techniques
06:53
Data Cleansing: How to Filter Unrequired Data from Tables
04:18
Date Table Creation & Modification: An Interactive Approach
07:35
Data transformation examples - Review
00:51
Data transformation examples - Quiz
3 questions
Active Recall - Data Preparation and Cleaning
00:57

Advanced transformation and querying techniques

13 lectures
Power Query: Did You Know?
00:34
Staging Queries: A Walkthrough
05:28
Amplify Your Data: Appending Queries Explained
05:21
Comprehensive Guide to Merging or Joining Queries
08:48
Turning Data Around: Unpivoting Tables for Efficiency
09:06
Extracting Insights: Creating Columns from Examples
05:49
Custom & Conditional Columns: Building for Specific Needs
08:42
Parameterizing Your Data: Creation & Utilization
08:33
Boosting Functionality: Custom Functions in Power BI
10:13
Synthesis: Merging Advanced Transformation Techniques
05:24
Advanced transformation and querying techniques - Review
01:26
Power Query: Beyond Basics
00:36
Advanced transformation and querying techniques - Quiz
3 questions

Designing advanced data models

13 lectures
Architecting Insights: Power BI Data Modeling Facts
00:32
Data Modeling Goals: What We Aim to Achieve
03:36
Crafting Efficient Data Models: Best Practices
05:47
Tackling Complexity: Setting Up Intricate Models
11:25
Handling Absent Lookup Tables: Alternate Approaches
07:48
Constructing Measure Tables/Groups for Better Insights
07:27
Leveraging Intermediary Tables in Your Model
08:40
Supporting Tables: A Vital Component of Data Modeling
09:13
Scenario Analysis with 'What If' Parameters
03:44
Enhancing Lookup Tables: Adding Dimensions
07:14
Architecting Multi-Layered Models: An Advanced Approach
04:18
Designing advanced data models - Review
01:34
Designing advanced data models - Quiz
3 questions

Optimising your models

6 lectures
Blueprints of Insight - Exploring Power BI Data Modeling
00:33
Active vs Inactive Relationships: Deciphering the Differences
07:24
Elevate Your Power BI Experience: Model Optimization Techniques
04:52
Shrink Your File, Not Your Data: Reducing Model File Size
06:36
Optimising your models - Review
00:39
Optimising your models - Quiz
3 questions

Course Assignments - Advanced Data Transformations

1 lectures
Assignment 1: Handling Missing Data & Duplicates
6 questions

Additional Resources - Complimentary guides for your data career

2 lectures
2023 Data Career Guide - Enterprise DNA
00:18
Congratulations and Next Steps
01:14

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