Power Bi Dax Mastery: Advanced Formulas And Data Analysis

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.