Advance Excel & Arc GIS Data Analysis (Pivot / Power Pivot in Germany, Berlin, Hamburg, München

Pivot Tables are one of the most powerful tools in Excel’s arsenal of data analytics. With just a few clicks, and no complicated formulas or macros, you can quickly and easily build incredibly informative reports, charts and dashboards. In this course, you’ll learn Pivot Table techniques that will instantly filter, summarize and analyze huge amounts of raw data. You will learn to use advanced Pivot Table techniques to rapidly produce critical information that will highlight the algorithms and trends buried in reams of data.

Course Key Learnings:

Effective Database Structure
Dynamic Table Design, Layouts, and Style Options to Optimize Analytics
Sophisticated Sorting, Filtering, and Grouping Techniques for Analytics
Combine Slicers and Filters for Instant, Complex Analytics
Calculated Fields and Values for Flexible, Customized Analytics
Pivot Charts, Slicers, and Timelines Used With Other Filtering Tools
Introduction to Interactive Dashboards
Introduction to ‘Big Data’ – Using the Pivot Table Data Model to Create a Pivot Table from Several Worksheets or External Data Sources

Course Content:

Lesson 1 – Understanding Power Pivot and the Power BI Tools
• What is Power Pivot, Power Query, Power View and Power Map
• Why use the Power BI Tools
• Excel versus Power Pivot
• Pivot Table Examples with Excel Data
• Power Pivot Examples with a Data Model
• Power View and Power Map Examples

Lesson 2 – Working with Data
• Working with an Excel List
• Using Vlookup to add Helper Columns
• Working with an Excel Table
• Cleaning up Tables
• Working with Normalized Tables

Lesson 3 – Importing Data into Power Pivot
• Understanding Acceptable Data Types
• Adding Excel Tables to Power Pivot
• Importing Access Tables
• Saving the File
• Adding and Maintaining Data in Power Pivot

Lesson 4 – Creating the Data Model
• What is a Data Model
• Understanding Key Fields
• Creating Relationships between Tables in the Model
• Managing Relationships
• Create and Use Linked Tables
• Create and Use Hierarchies

Lesson 5 – Using Calculations in Power Pivot
• Types of Calculations in Power Pivot
• Creating a Calculated Column
• Creating a Calculated Field (Measures)
• Implicit Calculated Field
• Explicit Calculated Field
• Understanding DAX Measure Rules and Best Practices
• Choosing Between Calculated Columns and Measures
• Creating a Key Performance Indicator (KPI)

Lesson 6 – Using Data Analysis Expressions
• Understanding Data Analysis Expressions (DAX) Formulas
• Where to use DAX formulas
• Understanding the DAX syntax
• How to create DAX formulas
• Types of operations you can perform with DAX

Lesson 7 – Working with DAX Formulas
• Working with Filter Function
• Working with Time Intelligence Functions
• Using Multiple Functions is a Formula
• Using Multiple Data Tables

Lesson 8 – Data Analysis with Pivot Tables and Pivot Charts
• Creating Pivot Tables
• Filtering Data using Slicers
• Add Visualizations to a Pivot Table
• Creating Pivot Charts
• Formatting Pivot Charts
• Using Multiple Charts and Tables

Lesson 9 – Working with Power View
• Visualizing Data with Power View
• Creating a Basic Report
• Making Improvements with Power View
• Creating Tables and Matrices
• Building Bar, Column and Pie Charts
• Constructing Line and Scatter Charts
• Producing Map-Based Visualizations

Lesson 10 – Building Interactive Reports with Power View
• Linking Visualizations in Power View
• Using tiles to Organize the Data
• Filtering Groups and Views
• Exposing the Dashboard

Lesson 11 – Loading and Transforming Data with Power Query
• Importing Data
• Transforming, cleansing and Filtering Data
• Merging and Shaping Data
• Grouping and Aggregating Data
• Inserting Calculated Columns

Lesson 12 – Visualizing Data with Power Map
• Preparing the Data for Mapping
• Creating a Map-Based Graph
• Creating Heat and Region Maps
• Adding Multiple Layers to a Map
• Analyzing Changes over Time
• Creating a Tour

Who this course is for: