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Microsoft Excel is a popular application when it comes to data analysis. Excel is equipped with built-in data power tools, which include PivotTables, Power Query and PowerPivot.

This course is designed to explore a combination of new and revised data tools and features found in Microsoft Excel and is aimed at anyone who needs to work with Excel to connect to, arrange, prepare, process, analyse and display data to produce suitable output and views of data for use at all levels within an organisation.

Delegates must be existing Excel users who have attended our Excel Advanced (QAEXADVC) course or have a similar level of knowledge and are able to:

Create, format, and save worksheets and workbooks
Create formulas using standard aggregate functions such as SUM, AVERAGE and COUNT
Experience of working with list related tools and features such as sorting and filtering would be beneficial
Create and modify PivotTables

NOTE: This course is suitable for users of Excel 2016, 2019, 2021 and 365 only.

Understand the concepts of data
Import and connect to data
Prepare data using Power Query Editor
Connect to and model data using Power Pivot
Use DAX formulas in Power Pivot to analyse data
Visualise and present data using PivotTables, PivotCharts and conditional formatting

Module 1: What is data?

Different types of data
Types of analysis
Excel’s data tools
Data analysis framework

Module 2: Connecting to data sources

Working with common data sources
Importing and connecting to data
Working with queries and connections

Module 3: Transforming data using Power Query Editor

Query Editor overview
Power Query data types
Combining data sources
Cleaning and shaping data
Creating calculated columns

Module 4: Data modelling with Power Pivot

Introduction to Power Pivot
Getting data into the Data Model
Creating and editing data relationships in Power Pivot

Module 5: Analysing data using DAX in Power Pivot

DAX fundamentals
Creating calculated columns
Creating measures
Working with date tables

Module 6: PivotTables

PivotTables overview
Using the Data Model to create PivotTables
Dynamic filters with Slicers and Timelines

Module 7: Visualising data

PivotCharts
Hierarchies and drilling
Other visualisation types
Conditional formatting
KPIs

Upcoming Trainings

Join our public courses in our United Kingdom facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

20 May 2024