Microsoft Excel 2013 PowerPivot Training Course Intermediate Northampton

Northampton Intermediate Microsoft Excel 2013 PowerPivot Course Overview

Northampton is a town with a rich history, including its famed shoe-making heritage.

Victory House
400 Pavilion Drive
Northampton Business Park
Northampton
NN4 7PA
United Kingdom

This centre is located in one of Northampton's premier business parks. The building occupies a prime position on Pavilion Drive, with rear office views overlooking a parkland Golf course. Perfect for your Intermediate Microsoft Excel 2013 PowerPivot Training Course training course.

Alternatively if you live in and around Northampton and wish to have your training on-site the we can provide all the equipment, included laptops and projector, required. All we ask is that you provide a little space for the trainer to set up.

Apart from Microsoft Excel 2013 PowerPivot Training Course training courses we also conduct many other training courses in Northampton.

Course Duration: 2 Day

Course Prerequisites for your training in Northampton

Previous knowledge and use of Excel, especially in regard to Pivot Tables, is necessary before undertaking these 2 days. Knowledge of the following would be extremely helpful.

• Understanding of VLookup in Excel
• Using Slicers in conjunction with Pivot Tables
• Formatting data ranges as Tables

Complete Course Outline

Introduction to PowerPivot

• Using a PivotTable on an Excel table
• Using PowerPivot in Microsoft Office 2013
• Adding information to the Excel table
• Creating a data model with many tables
• Understanding relationships
• Understanding the data model
• Querying the data model
• The PowerPivot add-In
• Using OLAP tools and converting to formulas
• Understanding PowerPivot for Excel 2013
• Creating a Power View report

Using the unique features of PowerPivot

• Loading data from external sources
• Creating a PowerPivot PivotTable
• Using the DAX language
• Creating a calculated column
• Creating a calculated field
• Computing complex aggregations like Distinct Count
• Refreshing the PowerPivot data model

Introducing DAX

• Understanding DAX calculations
• DAX syntax
• DAX data types
• DAX operators
• DAX values
• Understanding calculated columns and fields
• Calculated columns
• Calculated fields
• Choosing between calculated columns and measures
• Handling errors in DAX expressions
• Conversion errors
• Arithmetical operations
• Empty or missing values
• Intercepting errors
• Formatting DAX code
• Common DAX functions
• Aggregate functions
• Logical functions
• Information functions
• Mathematical functions
• Text functions
• Conversion functions
• Date and time functions
• Relational functions
• Using basic DAX functions

Understanding data models

• Understanding the basics of data modeling
• Producing a report without a data model
• Building a data model
• More about relationships
• Understanding normalization and denormalization
• Denormalizing within SQL queries
• The PowerPivot query designer
• When to denormalize tables
• Understanding over-denormalization
• Understanding OLTP and data marts
• Querying the OLTP database
• Data marts, facts, and dimensions
• Star schemas
• Which database is the best to query?
• Using advanced relationships

Loading data

• Understanding data sources
• Loading from a database
• Loading from a list of tables
• Loading relationships
• Selecting related tables
• Loading from a SQL query
• Loading from views
• Opening existing connections
• Loading from Access
• Loading from SQL Server Analysis Services
• Using the MDX editor
• Handling of keys in the OLAP cube
• Loading from a tabular database
• Loading from SharePoint
• Using linked tables
• Loading from Excel files
• Loading from text files
• Loading from the Clipboard
• Loading from a report
• Loading from a data feed
• Loading from Windows Azure Marketplace
• Suggest related data

Understanding evaluation contexts

• Introduction to evaluation contexts
• Understanding the row context
• Testing your evaluation context understanding
• Using SUM in a calculated column
• Using fields in a calculated field
• Creating a row context with iterators
• Understanding FILTER, ALL, and context interactions
• Working with many tables
• Row contexts and relationships
• Filter context and relationships
• Introducing VALUES
• Introducing ISFILTERED and ISCROSSFILTERED
• Evaluation contexts recap
• Creating a parameter table

Understanding CALCULATE

• Why is CALCULATE needed?
• CALCULATE examples
• Filtering a single column
• Filtering with complex conditions
• Using CALCULATE inside a row context
• Understanding circular dependencies
• CALCULATE rules
• Understanding ALLSELECTED

Using hierarchies

• Understanding hierarchies
• When to build hierarchies
• Building hierarchies
• Creating hierarchies on multiple tables
• Performing calculations using hierarchies
• Using parent/child hierarchies

Using Power View

• What is Power View?
• Power View basics
• Using the Filters pane
• Decorating your report
• Understanding table, matrix, and cards
• Using the matrix visualization
• Using the card visualization
• Using a table as a slicer
• Using charts
• Using the line chart
• Using the pie chart
• Using the scatter chart
• Using maps
• Understanding drill-down
• Using tiles
• Understanding multipliers
• Using Power View effectively

Shaping the reports

• Key Performance Indicators (KPIs)
• Creating data models for Power View
• Understanding Power View metadata
• Using Summarize By
• Using the default field set
• Using the Table Behavior dialog box
• Defining sets
• Creating dynamic sets with MDX
• Using perspectives
• Understanding drill-through

Performing date calculations in DAX

• Building a calendar table
• Working with multiple calendar tables
• Calculating working days
• Computing the difference in working days
• Aggregating and comparing over time
• Year-to-Date (YTD), Quarter-to-Date (QTD), and Month-to-Date (MTD)
• Time intelligence with CALCULATE
• Computing periods from the prior year (PY)
• Computing the moving annual total
• Using other aggregation functions
• Computing difference over a previous year
• Closing balance over time
• Semiadditive measures
• OPENINGBALANCE and CLOSINGBALANCE functions
• Updating balances by using transactions
• Computing moving averages

Using advanced DAX

• Banding
• Ranking
• Using many-to-many relationships
• Computing new and returning customers
• Understanding KEEPFILTERS
• Implementing basket analysis
• Understanding the power of calculated columns: ABC analysis
• Handling currency conversion

Using DAX as a query language

• Understanding EVALUATE
• Creating an Excel table with EVALUATE
• Using common functions in queries
• Using FILTER
• Using CALCULATETABLE
• Using ADDCOLUMNS
• Using VALUES with ADDCOLUMNS
• Using SUMMARIZE
• Using the ROLLUP option
• Linking back a DAX query
• Computing ABC analysis with a linked-back table
• Using CROSSJOIN
• Using GENERATE

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