Microsoft Power Pivot (Excel) and SSAS (Tabular DAX model)

Overview

Visualise Data in Power Pivot for Excel or SSAS with DAX. 70-779, 70-768 exams. Business Intelligence PowerPivot tool.

What you'll learn:

Extract data from multiple tables.Create connections between the tables.Develop the model using DAX functions.Create analyses in Excel. Reviews:

"In just the first few lessons, I have already been able to apply what I have learned at my job.

Thank you for this course!" -- Cynthia Smith"The Instructor is easy to understand and he gives exercises to test your understanding which is what I prefer rather than just listening to lectures. I will definitely take more of Mr Burton's classes as I like his teaching style." -- Tamuka Mazana This course covers one of the most useful add-ins in Microsoft Excel,PowerPivot, and the Tabular model in SQLServer Analytical Services.Please note:

This course is not affiliated with, endorsed by, or sponsored by Microsoft.We'll activate PowerPivot if you have the right version of Excel, and if not, then we'll install SQLServer on your computer, which can dothe same job.

We'll installthe Developer edition, which used to cost $100, for free.After PowerPivot is activated, or SQLServer is installed, we'll create our first analysis in Excel or SQLServerin just a matter of minutes.After only thesefirst few minutes, you will be streets ahead of anyone who doesn't know anything about Power Pivot.After this introduction, we'll go into some detail into PowerPivot or SSAS- the initial data, and the various options that are available to you. We will go into advanced options that most people don't even know about, but which are very useful.Then we'll develop DAXformulas, to further extend the model.

A lot of the formulas are based on Excel formulas, but there are several additional things too.By the end, you will be an Expertuser of both PowerPivot andSSAS, able to create reliable analyses which are able to be drilled-down quickly,and you'll beable to help others with their data analysis.It will assist withthe Model Data sectionof Microsoftexam 70-779 "Analysing and Visualizing Data with Microsoft Excel".It will alsoassist withthe "Design a tabular BIsemantic model" and "Develop queries using Data Analysis Expressions (DAX)"sectionof Microsoftexam 70-768"Developing SQLData Models".

Syllabus

• Introduction to Power Pivot in Excel
Overview of Excel's data modeling capabilities
Enabling and accessing Power Pivot
Understanding the Power Pivot interface
• Data Import and Management
Importing data from various sources
Data cleansing and transformation
Creating and managing relationships between tables
• Introduction to DAX (Data Analysis Expressions)
Basic concepts and syntax
Creating calculated columns and measures
Understanding row context and filter context
• Advanced DAX Functions and Techniques
Time intelligence functions
Statistical and mathematical functions
Working with complex data models
• Creating and Managing Power Pivot Models
Building comprehensive data models within Power Pivot
Introduction to hierarchies and perspectives
Optimizing data models for performance
• Data Visualization and Reporting
Creating PivotTables and PivotCharts
Designing interactive dashboards within Excel
Best practices for reporting with Power Pivot
• Introduction to SQL Server Analysis Services (SSAS) Tabular Model
Overview of SSAS and its architecture
Understanding Tabular vs. Multidimensional models
Setting up and deploying a Tabular model
• Advanced Tabular Modeling Techniques
Partitioning data for efficiency
Managing and optimizing model calculations
Implementing security roles in models
• Advanced DAX in SSAS Tabular Models
Writing advanced expressions in SSAS
Performance optimization techniques for DAX in SSAS
Case studies for leveraging DAX in business scenarios
• Integration and Automation
Using Power BI with Power Pivot and SSAS
Automating data refreshes and processes
Integrating Excel and SSAS with other Microsoft tools
• Course Review and Capstone Project
Reviewing key concepts and techniques
Applying learned skills to a real-world scenario
Capstone project presentation and feedback
• Future Trends and Best Practices
Industry trends in data modeling and business intelligence
Best practices for maintaining and scaling solutions
Resources for continued learning and development

Taught by

Phillip Burton • 800,000+ students so far and I Do Data Limited

Subjects

Data Science