Bootcamp: Data analysis in Excel

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Description

During this course you will learn how to store and analyze large amounts of data in Excel by means of Tables, PivotTables, Power Query and PowerPivot.

Contents

DAY 1 Tables and PivotTables

Data principles

Tables

  • Create tables
  • Layout
  • Sort and filter data

PivotTables

  • Create PivotTables
  • Group
  • Calculations
  • Filtering (incl slicers)

Presentation

  • Conditional formatting

DAY 2 Power Query

Power Query introduction

  • What is the role of Power Query
  • How Power Query works (using a detailed example)

Data connections

  • Importing Excel files
  • Import CSV and TXT files

Export

  • Export to Excel
  • Export to the Data Model
  • Adjust load location afterwards
  • Adjust Default Load Location

Transformations

  • Column from examples
  • Conditional columns
  • Date transformations
  • Splitting columns

Merge tables

  • Merge 2 separate lists
  • Reading the folder
  • Optional: sheets from 1 file

Expand tables

  • Linking 2 queries together (VLOOKUP like)

Create date tables via M-code

  • Importing a date table via a step-by-step plan

DAY 3 Power Pivot

Recap Day 2

  • A quick recap of Power Query

Data model

  • Why modeling
  • How to Create Relationships
  • Multiple relationships between 2 tables
  • Filter direction

Getting Started with DAX

  • What is DAX and how do it differ from regular Excel formulas?
  • Calculated columns vs Measures
  • Always refer to the Table in which a column is located
  • Writing tips

DAX - Calculated columns

  • How to make a calculated column
  • YEAR(... ) MONTH( ...) Line Total
  • RELATED and LOOKUPVALUE
  • RELATEDTABLE
  • Optional: If-then-else calculations

DAX - Measurements

  • Where to make measures
  • In which table?
  • Creating a measure table is an option
  • Create PivotTables

BASIC Aggregations

  • What are basic aggregations?
  • SUM, COUNTROWS, DISTINCTOUNT
  • Create PivotTable
  • Optional: Average and STDEV

Aggregating Expressions

  • What Are Aggregating Expressions
  • Apply SUMX
  • FILTER + COUNTROWS
  • FILTER + SUMX
  • AVERAGEX + FILTER + BLANK

CALCULATE

  • DEMO: What makes CALCULATE so important
  • CALCULATE sales compared to Belgium
  • CALCULATE compared to Grand Total: with ALL
  • CALCULATE compared to SUBTotal: with ALLEXCEPT
  • CALCULATE when there are multiple relationships, USERELATIONSHIP

DAY 4 More DAX

Summary Day 2 and 3

Date intelligence

  • What is Date Intelligence
  • Why Do We Need a Date Table
  • Adding a Date Table

Date intelligence functions

  • TOTALYTD
  • Demo DATESYTD (Why is this CALCULATE)
  • DATESBETWEEN for a Total Quantity To Date
  • SAMEPERIODLASTYEAR
  • DATEADD
  • Delta calculations: ThisYear - PreviousYear
  • Growth calculations: (ThisYear - PreviousYear) / PreviousYear

Corporate identity and institutions

  • What are themes?
  • Creating and Applying Themes
  • Create and apply cell styles
  • Hide worksheets
  • Protect Worksheet and Workbook
  • Object naming convention

Prerequisites

A good knowledge of Excel, but above all the need to analyze a lot of data better.

Duration

4 days
Tailor-made training
Each organization is unique in its identity, and no co-worker is the same. That's why we at Learnia offer our clients tailor-made courses as well.
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