
Introduction and overview to the Data Modeling and DAX Formulas course.
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Step by step instructions to sign up for the Power BI Service and to download the Power BI Desktop.
Introduction to the Data Model and calculations section of the course.
In this lesson we cover how to create calculated columns within the Power BI data model.
In this practical activity you will create three new calculated columns - Sales, Cost and Profit. You will also format these fields.
In this lesson we learn how to create additional time intelligence functions such as Year, Month and Day. These fields are added to your data model.
In this Practical Activity you will create fields for Year, Month and Day
In this lesson we learn how to create Month Names and Week Day Names for our data model. We also learn how to correctly set the Sort By option to make sure the names are displayed in the correct order.
In this activity you will add the Month Name, WeekDay and WeekDay Name to the Data Model.
In this lesson we learn how to add a Date Master to the Date Model and then to create a relationship between the Date field and the master date.
In this practical activity you will load and configure the Date Master file to use it for data analysis.
A quick review of the Calculated Columns section.
In this lesson you will learn how to use the IF function.
Introduction to the section on Measures
In this lesson we learn how to create Measures to calculate Sums, Averages and Distinct Counts.
In this activity you will add a number of Measures to the Data Model.
In this lesson we learn how to use the powerful Calculate formula. The = Calculate formula allows the filtering of an aggregation.
In this practical activity you will practice using the =Calculate formula.
In this lesson we review how to return the entire total for a column and how to ignore the evaluation context.
In this lesson you will learn how to create a datesbetween calculation, trailing number of days, Year to Date, Quarter to Date and Month to Date calculations.
In this lesson we will create Previous Month and Previous Year calculations
Create running totals for year-to-date, quarter-to-date, and month-to-date using total and sum of sales. Learn how master date context and filter context, via year and month slicers, shape these calculations.
In this lesson we cover how to use the X functions - SUMX, COUNTX, AVERAGEX,MAXX and MINX. We also review how to manually enter data.
The conclusion to the Measures section.
In this lesson you will learn how to use the RANKX function to Rank the customer data.
In this lesson you will learn how to do customer segmentation using the SWITCH function.
In this lesson you will learn how to use the What If Parameter.
Explore virtual tables to summarize and aggregate data into smaller, faster tables, and apply calculated columns, measures, and relationships for flexible data modeling.
In this lesson you will learn how to create a Calculated Table. A Calculated Table aggregates detailed data into summary tables.
In this practical activity you will create two calculated tables. The first table summarizes the Model field and the second the Customer information.
Introduction to the Relationship Section
In this lesson you will learn how to create relationships between tables in Power BI.
In this lesson we review how to use relationships between tables to create new calculations.
In this lesson you will create relationships between 2 tables and also add calculations using the relationship.
Introduction to the Key Performance Indicators section.
In this lesson we learn how to use the ScoreCard visualization to analyze Key Performance data.
In this lesson we learn how to use the Gauge visualization to analyze Key Performance data.
Introduction to the Hierarchies section
Explore the DAX query view in Power BI to test DAX queries without altering the data model, using quick queries, evaluate and define, and a data preview with column statistics.
Conclusion to the course.
Great reports are built on great data models. In this course, learn how to create relationships, create measures, use DAX and all the other skills you need to build a data model that ensures your reports are top-notch! This course will get you up to speed and working in a very short time, giving you the crucial foundation to start you on the journey to becoming a Power BI expert.
COURSE CONTENT AND OUTCOME
Creating Calculated Columns - Basic calculations, using date fields and date tables
Creating Measures - Aggregation measures, the =Calculate formula, the All and AllExcept formula, Time Intelligence, Customer Segmentation and many more
Creating Relationships between tables and using relationship calculations
Creating Virtual Tables and Calculations between Tables
Creating and using hierarchies and data groups
Case Studies on DirectQuery, Star Schemas and Quick Measures
ABOUT THE TRAINER
I am a Udemy Instructor Partner with more than 20 years' experience in training & management consulting. I specialise in training business users to learn powerful methods and techniques to transform data into useful information and intelligence as well as learning strong data analysis methodology using Microsoft Excel, Microsoft Power BI, Looker Studio (formerly Google Data Studio), Amazon QuickSight and ChatGPT.
WHAT STUDENTS ARE SAYING
This course is great, it revealed to me functions that I never thought existed. I cannot wait to apply these in real time scenarios. Thanks Ian you are doing a great job.
Coming from Spotfire (after company decided PowerbI is cheaper) with its slightly different approach, this course helped to gain some traction with PowerBI
I felt quite comfortable using Power BI, but this course opened my eyes to many more possibilities the tool offers. I really appreciate the straightforward, no-nonsense and easy to follow teaching style from the instructor. Highly recommended to all who have been using Power BI and are ready for the next step.
DATA ANALYSIS COURSES ROADMAP
The tech industry is constantly evolving, there have been significant investments in the field of AI, machine learning and big data and this means there is a growing demand for data analysts. With the right skills and a proactive approach, a data analyst can reach unprecedented heights! I currently offer the following 14 courses on Udemy covering a wide variety of tools and skills that will empower you to confidently explore the dynamic realm of data analysis, gain valuable skills in data interpretation and drive intelligent, data driven decisions.
Microsoft Excel
Introduction to Analyzing Data with Excel Pivot Tables
Complete Introduction to Excel Power Pivot
Complete Introduction to Excel Power Query
Excel Interactive Dashboards and Data Analysis
Complete Introduction to Business Data Analysis
Tables and Formulas with Excel
Microsoft Power BI
Complete Introduction to Microsoft Power BI
Complete Introduction to Power BI Query Editor
Power BI Master Class-Data Models and DAX Formulas
Power BI Master Class - Dashboards and Power BI Service
Complete Introduction to Google Sheets Pivot Tables
Complete Introduction to Looker Studio (formerly Google Data Studio)
Amazon QuickSight
Complete Introduction to Amazon QuickSight
ChatGPT
Introduction to Analyzing Data with ChatGPT