FIT1013 – Week 1: Calculating Data
with Formulas and Functions
Learning Outcomes:
• Understand the principles of spreadsheets
• Utilise the basic Excel formulas to analyse data
• Understand Error values in Excel
• Perform what-if analysis to further analyse data
• Understand the differences between values and cell
references
2Tasks
Introduction to unit – 30 minutes
Weekly Objectives – 5 minutes
The basic concepts of workbook, and principles of spreadsheets – 15
minutes
Basic Excel formulas to analyse data – 15 minutes
– Explore application help on Functions (i.e. F1, Help tab, Insert Function)
– Working with DATE functions
– Working with COUNT functions
– Working with financial functions (e.g. PMT)
Error values in Excel – 10 minutes
What-if analysis – Goal Seek – 15 minutes
Excel cell references – 15 minutes
Post-class activities
31. Introduction to unit
Staff details
Workshops
Applied Sessions
Consultations
Resources
Assessments
4FIT1013: why is it useful?
Excel knowledge assumed in many BIS core and elective units.
Expertise in spreadsheet modelling and programming is prescribed by
IBL sponsors as essential knowledge for students on placement
Spreadsheet modelling is the most widely used tool for Business
modelling
Excel & Access:
Useful business tools for
Storing and manipulation of data
Data analysis and visualization
Decision Support
Problem solving
Presentation/reporting
5Excel 2019 and Access 2019
Excel – the most widely used DSS software.
Access/Excel + VBA enables
– Database
from an Excel tables and list/s
or from an Access database
(other databases….)
– Data Analysis
using pre existing analysis tools – e.g. Scenario Manager, Charts, data
tables, pivot tables, Excel functions, Goal seek, Solver
Using user defined functions
Using VBA
– Interface and automation
built using VBA
63. The basic concepts of workbook, and principles of
spreadsheets
7Activity
What are the benefits of documenting contents of a workbook?
True/False:
Every workbook should be accessible to its intended users.
You should never use jargon or unusual terms in a workbook
84. Basic Excel formulas to analyse data
Quick way to calculate summary data
Every function follows a set of rules (syntax) that specifies how the
function should be written
General syntax of all Excel functions:
– FUNCTION(argument 1, argument2, …)
Square brackets indicate optional arguments:
– FUNCTION(argument1, [argument2=value2, …])
An argument can be any type of value including text, numbers, cell
references, or even other formulas or functions
Functions can be placed inside another function, or nested; nested
functions must include all parentheses
9Some Excel Functions
10
Activities
Explore application help on Functions (i.e. F1, Help tab, Insert
Function)
Working with DATE functions
Working with COUNT functions
Working with financial functions (i.e. PMT)
11
5. Error values in Excel
12
Activities
Explore different types of error values in Excel.
How to resolve them?
13
6. What-if analysis – Goal Seek
14
Activities
How many acres of corn crops needed if your projected
market revenue is $100,000?
15
7. Excel cell references
Workbooks can include data entered in cells that are then referenced
in formulas to perform calculations on that data.
Types of cell references
– Relative References
When a formula includes a cell reference, Excel interprets it as being located
relative to the position of the current cell.
– Absolute
A fixed reference – one that always references the same cell no matter where it is
moved – is called an absolute reference.
– Mixed
A mixed reference contains both relative and absolute references
16
Activities
Explore each of type of references.
17
8. Post-class Activities
Try these functions:
– Min(), max(), average(), sum(),…..etc
18
Reference
Carey, P. (2019). New Perspectives Microsoft Office 365
and Excel 2019 Comprehensive. Cengage.