Mastering Complex Calculations and Dynamic Reporting in Power BI
What you'll learn
Learn to create calculated columns and measures using essential DAX formulas to optimize your data models in Power BI.
Apply time intelligence, context transition, and advanced filtering techniques for dynamic data insights.
Use iterators, variables, and table functions to write efficient and high-performing DAX formulas.
Implement practical solutions using advanced DAX scenarios, including parameterized calculations and dynamic hierarchies.
Requirements
Students should be familiar with the Power BI interface, importing data, and basic report creation.
Ensure you have Power BI Desktop installed on your system for hands-on practice during the course.
Familiarity with Excel functions such as SUM(), IF(), or COUNT() can be beneficial as DAX has similar functions.
Description
"Power BI DAX Mastery" is an intensive training course designed to equip data analysts and business intelligence professionals with advanced skills in Data Analysis Expressions (DAX). This course provides a comprehensive understanding of DAX, enabling participants to build sophisticated data models, create complex calculations, and develop insightful Power BI reports.Led by expert trainer Ali Noorani, this course focuses on practical applications, best practices, and hands-on problem-solving techniques. Participants will gain valuable insights into DAX's role in data modeling, visualization, and analytics, empowering them to drive data-driven decision-making within their organizations.By the end of this course, attendees will have mastered advanced DAX functionalities, allowing them to perform in-depth data analysis and create dynamic, interactive reports that provide valuable business insights.Course Outline:Introduction to Advanced DAX ConceptsOverview of DAX and its importance in Power BI.Key differences between Calculated Columns and Measures.Understanding the foundational principles of DAX.Building and Optimizing Data ModelsIntroduction to data modeling in Power BI.Best practices for creating and managing data models.Techniques for visualizing data effectively.Understanding and Applying Filter ContextDeep dive into filter context and its impact on DAX calculations.How to use filter context to control data visibility and calculation results.Practical examples of using filter context in real-world scenarios.Creating and Using MeasuresStep-by-step guide to creating basic and advanced measures.Techniques for using measures to perform dynamic calculations.Examples of measures for common business scenarios (e.g., total sales, profit margin).Advanced Problem-Solving with DAXStrategies for solving complex analytical problems using DAX.How to use DAX functions such as CALCULATE, FILTER, and SUMX to solve business problems.Case studies demonstrating the application of DAX for business insights.Implementing Time Intelligence FunctionsOverview of time intelligence functions in DAX.Techniques for calculating year-over-year growth, month-over-month trends, and moving averages.Practical exercises to understand time-based calculations and forecasts.Dynamic Filtering and Interactive ReportingHow to implement dynamic filtering using slicers and DAX.Creating interactive reports that respond to user selections.Examples of dynamic reporting for different business dimensions (e.g., by region, by product category).Creating and Using Calendar TablesImportance of calendar tables in time-based analysis.How to create a calendar table using DAX.Best practices for managing date-related data in Power BI.Practical Applications of DAX in Business ScenariosReal-world examples of using DAX to address business needs.How to create dashboards that provide actionable insights.Techniques for using DAX to optimize business operations and strategy.
Overview
Section 1: Introduction
Lecture 1 Trainer Introduction
Lecture 2 Engage in Active Learning for Maximum Results
Section 2: Starter Pack
Lecture 3 Download Power BI
Lecture 4 Beginner's Guide to Power BI
Lecture 5 Adventure Works Dataset
Section 3: Foundations
Lecture 6 Introduction to DAX
Lecture 7 Understanding Data Modeling
Lecture 8 Aggregations and Measures
Lecture 9 3 Steps to become a Data Analyst
Lecture 10 Columns vs. Measures: When to Use Each
Lecture 11 Power BI for Small Businesses: A Game-Changer for Data-Driven Decisions
Section 4: Context and Thinking Approaches
Lecture 12 Reverse Engineering with Golden Thinking
Lecture 13 Amazon's AI Hiring Tool
Lecture 14 Mastering Filter Context
Lecture 15 Data-Driven Decisions How Coca-Cola Uses Weather Forecasts to Boost Efficiency
Lecture 16 Power BI Visualizations Cheat Sheet
Lecture 17 Supply Chain Efficiency with Power BI
Section 5: CC vs CM and Basic Measures
Lecture 18 Creating Measures and Understanding Iterators
Lecture 19 Quick Ask Syndrome
Lecture 20 Hands-On Practice: Building Basic Measures
Lecture 21 When to Use Columns: Special Scenarios
Lecture 22 Participant Feedback and Pace Check
Lecture 23 Cambridge Analytica
Lecture 24 Pretty and Interesting Reports
Lecture 25 Wrap-Up and Sorting Techniques
Lecture 26 Top Data Expert Mindset
Lecture 27 Mastering DAX Functions: COUNT, COUNTROWS, and DISTINCTCOUNT in Power BI
Section 6: Problem Solving
Lecture 28 Practical Application of Power BI Concepts
Lecture 29 Calculate Function and Measure Management
Lecture 30 Calculating Percentage of Global Sales in Power BI
Lecture 31 Disney's Magic Band
Lecture 32 Parrot Analysis
Lecture 33 Data Transformation Cheat Sheet
Lecture 34 Top 10 Power BI Tricks
Lecture 35 Using Logical Functions: IF, AND, and OR in Power BI DAX
Section 7: Advanced Problem-Solving Techniques
Lecture 36 Advanced Calculations and Filtering Techniques in Power BI
Lecture 37 Calculating Sales from Recurring Customers in Power BI
Lecture 38 Calculating Year-on-Year Repeat Rate and Dynamic Filtering in Power BI
Lecture 39 Transition into a Data Analyst
Lecture 40 Top 10 Power BI Shortcuts
Lecture 41 Using the ALL Function in Power BI DAX: Ignoring Filters for Better Insights
Lecture 42 Mixing Table Functions in Power BI DAX: SUMMARIZE and FILTER
Section 8: Time-Based Data Analysis
Lecture 43 Creating and Understanding Calendar Tables in Power BI
Lecture 44 YTD and Forecast
Lecture 45 Year-over-Year Analysis and Time Intelligence in Power BI
Lecture 46 Pregnancy and the Power of Data
Section 9: Course Conclusion
Lecture 47 Course Conclusion
Lecture 48 Market Demand for Data Skills
Lecture 49 From Core Skills to Applied Mastery
Lecture 50 How Do I Practice?
Lecture 51 If I have to start all over again
Lecture 52 Working Smart vs. Working Hard
Lecture 53 The Ultimate Power BI Tools Guide: Your Go-To Resources for Mastering Power BI
Section 10: Skill Assessment
Section 11: Take-Home Materials
Lecture 54 Purpose of Take-Home Materials
Lecture 55 Step-by-Step Guide Manual
Lecture 56 Exercise Files for Each Chapter
Lecture 57 Data set for Practice
Business Analysts looking to enhance their data modeling and reporting skills using advanced DAX formulas in Power BI.,Data Professionals who want to deepen their understanding of DAX for complex data calculations and insights.,Excel Power Users transitioning to Power BI and aiming to leverage their existing formula knowledge in a more powerful business intelligence tool.,Power BI Enthusiasts at an intermediate level who are ready to dive into more advanced DAX topics to unlock dynamic and insightful reporting capabilities.

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