Be able to work with the main functions. Nest functions. Master powerful analytics tools. Create models.
Excel 2019/365 – Level 2
Who should attend this course?
This course is intended for advanced professionals who need to work with complex accounting, financial or scientific applications of Excel.
Prerequisites
Know the basic features of Excel (Formulas, Functions)
- Working with the most important functions.
- Nesting functions.
- Mastering powerful analysis tools.
- Create models.
Tips & tricks review to optimize calculation operations
Managing the principle of calculated cell addresses (Absolute, relative and mixed references)
Inserting functions by using the Assistant or by inserting manually (inserting text in a function, using criteria and equations, using range names, …)
Nesting functions
Manipulating function categories
Working with “”Statistical functions”” (AVERAGE, MAX, MEDIAN, …)
Working with “”Logical functions”” (COUNTIF, SUMIF, IF, AND, OR, …)
Using “”Text functions”” (LEFT, FIND, UPPER, CONCATENATE, …)
Using “”Date and Time functions”” (DATEDIF, NOW, TODAY, YEAR, MONTH, DAY, …)
Using “”Matrix functions”” : VLOOKUP + XLOOKUP
Calculate with named cell ranges
Introduction to databases
Using the vocabulary which is specific for databases
Learning to create a database file which enables an efficient analysis of the information
Managing personalized toolbars to analyse data
Tips to guarantee data integrity
Using the Table tool
Review of simple analysis tools
Being able to sort: simple sorting, sorting criteria and first key sort order
Using Group and Outline to improve the visibility of data
Automating database contents
Data validation as lists
Using Conditional formatting (simple or calculated)
Creating visual effects with Sparkline charts
Slicers
FLASHFILL
Analyzing data by using Pivot tables
Knowing the features which are needed for the creation of pivot tables
Hiding elements
Using the integrated calculations (average, count, max, min…)
Showing subtotals
Updating data
Grouping elements (manually, automatically)
Consolidating data from multiple tables
2019 new features
Relationship auto-detection
Automatic time grouping
Introduction to Power Query
Switching back and forth between Excel and Power Query
Importing data from different sources in Power Query (Excel, csv, texte)
Transforming data :
Managing columns and rows to keep
Renaming headers
Sorting / filtering
Adapting data types to analysis needs (+ automatic detection)
Creating a header row
Practical exercises + Tips & Tricks

Practical information
Duration
Languages
Price
Location
Schedule
Book your training
Enter your information to confirm your booking.