Complete Introduction To Excel Power Pivot [2022 Edition]

What you'll learn
Quickly learn to use Power Pivot in Excel for powerful data analysis
Work with millions of rows of data, create relationships between tables and learn the DAX formula language
Have a COMPREHENSIVE understanding of creating data models in Excel
Create calculated fields and calculated measures using DAX in Excel
Perform SOPHISTICATED calculations such as Time Intelligence, Filtered Data and Segmentation
Create RELATIONSHIPS between tables of data
Analyze data using Pivot Tables and Pivot Charts
Requirements
You will require a power pivot compatible version of Excel (2013 or newer or Office 365). Power Pivot is not currently Mac-compatible.
You should be able to work with data in Excel and do basic reporting
You will require the Excel Power Pivot licence
Description
With Excel's impressive Power Pivot, you can import millions of rows of data, create mashups from different data sources and build sophisticated data models with ease. This allows you to analyze your data and share insights with just a few clicks of your mouse. If you are eager to learn about Excel's Power Pivot without sitting through days of training, this is the course for you. WHAT STUDENTS ARE SAYING:"A great set of content about DAX functions & Power Pivot. Easy to learn content & great way of explaining the Excel formulas.""This course opened my eyes to new ways to use Power Pivot. There is so much information packed into this course. Thank you for a great course. Now, on to your Power Query course!""Great course, especially if you have some knowledge already with excel or Power BI, easy to follow and goes in the right amount of detail."WHAT YOU CAN EXPECT:Introduction and Course ContentPower Pivot & the Data ModelPower Pivot & Pivot TablesCreating Calculated Columns - Basic calculations, using date fields and date tablesCreating Measures - Aggregation measures, the =Calculate formula, the All and AllExcept formula and Time IntelligenceCase StudiesCreating Relationships between tables and using relationship calculationsUsing KPIs visualizations in the data modelCreating and using hierarchiesABOUT THE TRAINERIan Littlejohn has been a top-rated trainer on the Udemy platform for over 5 years and has more than 10 years' experience in training & management consulting. He specialises in Data Analysis, covering Excel, Power BI, Google Data Studio and Amazon Quicksight.Ian has over 150,000 students and 50,000 reviews with an average course rating of over 4.5 stars out of 5. He has a reputation for delivering excellent, logically structured courses which are easy to follow and get the point across without wasting learners' time.WHY YOU SHOULD SIGN UP:Learners buying this course get:Full access to 4 hours of HD quality video5 downloadable resources and 10 articlesLifetime accessMoney-back guarantee (see Udemy terms and Conditions)Certificate of completion upon course conclusionWe look forward to having you on the course!***************************************************************************************************************************************DATA ANALYSIS COURSES ROADMAP:You can see all of Ian's other Data Analysis courses by searching for his name on Udemy.ExcelComplete Introduction to Excel Pivot Tables and Pivot ChartsComplete Introduction to Excel Power PivotComplete Introduction to Excel Power QueryExcel Interactive Dashboards and Data AnalysisComplete Introduction to Business Data AnalysisTables and Formulas with Excel[2020 Edition]Power BIComplete Introduction to Microsoft Power BI[2020 Edition]Power BI Master Class - Query Editor[2020 Edition]Power BI Master Class-Data Models and DAX Formulas 2020Power BI Master Class - Dashboards and Power BI Service 2020Introduction to Data Analysis with Microsoft Power BIGoogle Data StudioComplete Introduction to Google Sheets Pivot TablesComplete Introduction to Google Data Studio 2020 EditionGoogle Analytics Reports and Dashboards with Data Studio
Overview
Section 1: Introduction
Lecture 1 Introduction to the Course
Lecture 2 About the Course
Lecture 3 Download the Course Training Files
Section 2: Power Pivot and the Data Model
Lecture 4 Overview of Excel Power Pivot
Lecture 5 Understanding Power Pivot
Lecture 6 Activating Excel Power Pivot
Lecture 7 Loading Data into the Data Model
Lecture 8 Browse, Filter and Sort
Lecture 9 Practical Activity - Load Data
Section 3: Power Pivot and Pivot Tables
Lecture 10 Introduction to Analyzing Data with Pivot Tables
Lecture 11 Creating Pivot Tables
Lecture 12 Methods of Aggregation
Lecture 13 Slicers and Filtering Data with Pivot Tables
Lecture 14 Two Pivot Table and Chart
Lecture 15 Practical Activity - Create Pivot Tables
Lecture 16 Completed Practical Activity
Section 4: Calculated Columns
Lecture 17 Introduction to Calculated Columns
Lecture 18 Creating a Calculated Column
Lecture 19 Year Month Day
Lecture 20 Weeknum and WeekDay
Lecture 21 Formatting Month and Week Day Names
Lecture 22 Practical Activity - Calculated Columns
Lecture 23 Creating a Date Table
Lecture 24 IF Function
Lecture 25 SWITCH Function
Section 5: Measures in the Data Model
Lecture 26 Introduction to Measures
Lecture 27 Explanation of Measures
Lecture 28 Aggregations
Lecture 29 Practical Activity - Add Measures to the Data Model
Lecture 30 Completed Practical Activity - Measures
Lecture 31 The =Calculate Formula
Lecture 32 Practical Activity - =Calculate
Lecture 33 Practical Activity =Calculate
Lecture 34 The ALL and ALLEXCEPT Formulas
Section 6: Time Intelligence Measures
Lecture 35 Time Intelligence Calculations Part 1
Lecture 36 Time Intelligence Calculations Part 2
Lecture 37 Time Intelligence Calculations Part 3
Section 7: Additional Measures
Lecture 38 Using SUMX Functions
Lecture 39 Practical Activity - X Functions
Lecture 40 Practical Activity - SUMX
Lecture 41 RankX Function - Ranking Customers
Lecture 42 Customer Segmentation - The Switch Function
Section 8: Case Studies
Lecture 43 Introduction to Case Studies
Lecture 44 Download Training Data Files
Lecture 45 Case Study - Loading Data from Power Query
Lecture 46 Creating Summary Tables
Section 9: Relationships
Lecture 47 Introduction to Relationships
Lecture 48 Download Training Data Files
Lecture 49 Creating Relationships
Lecture 50 Relationship Calculations
Lecture 51 Practical Activity - Employee Master 4 Chart Dashboard
Lecture 52 Four Chart Dashboard Practical Activity
Section 10: Sets and KPIs
Lecture 53 Introduction to KPIs and Sets
Lecture 54 Creating Sets
Lecture 55 Creating Hierarchies
Lecture 56 Creating KPIs
Section 11: Course Conclusion
Lecture 57 Course Conclusion
Excel users who want to learn how to use the Power Pivot Data Model,Excel users who want to learn how to use the DAX formula language
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