# Microsoft Excel Data Analysis and Business Modeling

(XLS-DA-BM.AB1) / ISBN : 978-1-64459-368-4
This course includes
Lessons
TestPrep
Hands-On Labs
313 Review

Get a hands-on experience in Microsoft Excel data analysis with uCertify's course Microsoft Excel Data Analysis and Business Modeling. This course is designed for candidates whose job role involves summarizing, reporting, and analyzing data. This course might also involve building analytic models to help your employer increase profits, reduce costs, or manage operations more efficiently. The course contains interactive objective-based lessons with quizzes, flashcards, and labs to give candidates a live experience of working with Excel data analysis and business modeling.

## Get the support you need. Enroll in our Instructor-Led Course.

### Lessons

97+ Lessons | 180+ Exercises | 189+ Quizzes | 111+ Flashcards | 111+ Glossary of terms

### TestPrep

60+ Pre Assessment Questions | 60+ Post Assessment Questions |

### Hands-On Labs

60+ LiveLab | 60+ Video tutorials | 02:12+ Hours

1

### Introduction

• What you should know before reading this course?
• How to use this course?
2

### Basic worksheet modeling

• Answers to this lesson's questions
• Problems
3

### Range names

• How can I create named ranges?
• Answers to this lesson’s questions
• Remarks
• Problems
4

### Lookup functions

• Syntax of the lookup functions
• Answers to this lesson’s questions
• Problems
5

### The INDEX function

• Syntax of the INDEX function
• Answers to this lesson’s questions
• Problems
6

### The MATCH function

• Syntax of the MATCH function
• Answers to this lesson’s questions
• Problems
7

### Text functions and Flash Fill

• Text function syntax
• Answers to this lesson’s questions
• Problems
8

### Dates and date functions

• Answers to this lesson’s questions
• Problems
9

### IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions

• Answers to this lesson’s questions
• Problems
10

### Time and time functions

• Answers to this lesson’s questions
• Problems
11

### The net present value functions: NPV and XNPV

• Answers to this lesson’s questions
• Problems
12

### The internal rate of return: IRR, XIRR, and MIRR functions

• Answers to this lesson’s questions
• Problems
13

### More Excel financial functions

• Answers to this lesson’s questions
• Problems
14

### Circular references

• Answers to this lesson’s questions
• Problems
15

### The Paste Special command

• Answers to this lesson’s questions
• Problems
16

### Three-dimensional formulas and hyperlinks

• Answers to this lesson’s questions
• Problems
17

### The auditing tool and the Inquire add-in

• Excel auditing options
• Answers to this lesson’s questions
• Problems
18

### Sensitivity analysis with data tables

• Answers to this lesson’s questions
• Problems
19

### The Goal Seek command

• Answers to this lesson’s questions
• Problems
20

### Using the Scenario Manager for sensitivity analysis

• Answer to this lesson’s question
• Remarks
• Problems
21

### The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions

• Answers to this lesson’s questions
• Remarks
• Problems
22

### The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions

• Answers to this lesson’s questions
• Problems
23

### Summarizing data with histograms and Pareto charts

• Answers to this lesson’s questions
• Problems
24

### Summarizing data with descriptive statistics

• Answers to this lesson’s questions
• Problems
25

### Summarizing data with database statistical functions

• Answers to this lesson’s questions
• Problems
26

### Consolidating data

• Answer to this lesson’s question
• Problems
27

### Creating subtotals

• Answers to this lesson’s questions
• Problems
28

### The OFFSET function

• Answers to this lesson’s questions
• Remarks
• Problems
29

### The INDIRECT function

• Answers to this lesson’s questions
• Problems
30

### Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes

• Answers to this lesson’s questions
• Problems
31

### Conditional formatting

• Answers to this lesson’s questions
• Problems
32

### Excel tables and table slicers

• Answers to this lesson’s questions
• Problems
33

### Basic charting

• Answers to this lesson’s questions
• Problems
34

• Answers to this lesson’s questions
• Problems
35

### Filled and 3D Maps

• Questions answered in this lesson
• Problems
36

### Sparklines

• Answers to this lesson’s questions
• Problems
37

### Importing data from a text file or document

• Answers to this lesson’s question
• Problems
38

### The Power Query Editor

• Answers to this lesson’s questions
• Problems
39

### Excel’s new data types

• Answers to this lesson’s questions
• Problems
40

### Sorting in Excel

• Answers to this lesson’s questions
• Problems
41

### Filtering data and removing duplicates

• Answers to this lesson’s questions
• Problems
42

### Array formulas and functions

• Answers to this lesson’s questions
• Problems
43

### Excel’s new dynamic array functions

• Answers to this lesson’s questions
• Problems
44

### Validating data

• Answers to this lesson’s questions
• Remarks
• Problems
45

### Importing past stock prices, exchange rates, and...tocurrency prices with the STOCKHISTORY function

• Answers to this lesson’s questions
• Problems
46

### Using PivotTables and slicers to describe data

• Answers to this lesson’s questions
• Problems
47

### The Data Model

• Answers to this lesson’s questions
• Problems
48

### Power Pivot

• Answers to this lesson’s questions
• Problems
49

### Use Analyze Data to find patterns in your data

• Answers to this lesson’s questions
• Problems
50

### An introduction to optimization with Excel Solver

• Answers to this lesson’s questions
• Problems
51

### Using Solver to determine the optimal product mix

• Answers to this lesson’s questions
• Problems
52

### Using Solver to schedule your workforce

• Answers to this lesson’s question
• Problems
53

### Using Solver to solve transportation or distribution problems

• Answer to this lesson’s question
• Problems
54

### Using Solver for capital budgeting

• Answer to this lesson’s question
• Problems
55

### Using Solver for financial planning

• Answers to this lesson’s questions
• Problems
56

### Using Solver to rate sports teams

• Answer to this lesson’s question
• Problems
57

### Warehouse location and the GRG Multistart and Evolutionary Solver engines

• Answers to this lesson’s questions
• Problems
58

### Penalties and the Evolutionary Solver

• Answers to this lesson’s questions
• Problems
59

### The traveling salesperson problem

• Answers to this lesson’s questions
• Problems
60

### Estimating straight-line relationships

• Answers to this lesson’s questions
• Problems
61

### Modeling exponential growth

• Answers to this lesson’s questions
• Problems
62

### The power curve

• Answers to this lesson’s questions
• Problems
63

### Using correlations to summarize relationships

• Answers to this lesson’s questions
• Problems
64

### Introduction to multiple regression

• Answers to this lesson’s questions
• Problems
65

### Incorporating qualitative factors into multiple regression

• Answers to this lesson’s questions
• Problems
66

### Modeling nonlinearities and interactions

• Answers to this lesson’s questions
• Problems for Lessons 51–53
67

### Analysis of variance: One-way ANOVA

• Answers to this lesson’s questions
• Problems
68

### Randomized blocks and two-way ANOVA

• Answers to this lesson’s questions
• Problems
69

### An introduction to probability

• Answers to this lesson’s questions
• Problems
70

### An introduction to random variables

• Answers to this lesson’s questions
• Problems
71

### The binomial, hypergeometric, and negative binomial random variables

• Answers to this lesson’s questions
• Problems
72

### The Poisson and exponential random variable

• Answers to this lesson’s questions
• Problems
73

### The normal random variable and Z-scores

• Answers to this lesson’s questions
• Problems
74

### Using the lognormal random variable to model stock prices

• Answers to this lesson’s questions
• Remarks
• Problems
75

### Weibull and beta distributions: Modeling machine life and duration of a project

• Answers to this lesson’s questions
• Problems
76

### Using moving averages to understand time series

• Answer to this lesson’s question
• Problem
77

### Ratio-to-moving-average forecast method

• Answers to this lesson’s questions
• Problem
78

### Making probability statements from forecasts

• Answers to this lesson’s questions
• Problems
79

### The Winters method and the Forecast Sheet tool

• Answers to this lesson’s questions
• Remarks
• Problems
80

### Forecasting in the presence of special events

• Answers to this lesson’s questions
• Problems
81

### Introduction to Monte Carlo simulation

• Answers to this lesson’s questions
• Problems
82

### Calculating an optimal bid

• Answers to this lesson’s questions
• Problems
83

### Simulating stock prices and asset-allocation modeling

• Answers to this lesson’s questions
• Problems
84

### Fun and games: Simulating gambling and sporting-event probabilities

• Answers to this lesson’s questions
• Problems
85

### Using resampling to analyze data

• Answer to this lesson’s question
• Problems
86

### Advanced sensitivity analysis

• Answer to this lesson’s question
• Problems
87

### Pricing stock options

• Answers to this lesson’s questions
• Problems
88

### Determining customer value

• Answers to this lesson’s questions
• Problems
89

### The economic order quantity inventory model

• Answers to this lesson’s questions
• Problems
90

### Inventory modeling with uncertain demand

• Answers to this lesson’s questions
• Problems
91

### Queuing theory: The mathematics of waiting in line

• Answers to this lesson’s questions
• Problems
92

### Estimating a demand curve

• Answers to this lesson’s questions
• Problems
93

### Pricing products by using tie-ins

• Answer to this lesson’s question
• Problems
94

### Pricing products by using subjectively determined demand

• Answers to this lesson’s questions
• Problems
95

### Nonlinear pricing

• Answers to this lesson’s questions
• Problems
96

### Recording macros

• Answers to this lesson’s questions
• Problems
97

### The LET and LAMBDA functions and the LAMBDA helper functions

• Answers to this lesson’s questions
• Problems
1

### Basic worksheet modeling

• Performing Mathematical Calculations using Formulas
3

### Lookup functions

• Accumulating Data Using the VLOOKUP Function
4

### The INDEX function

• Extracting Data Using the INDEX Function
5

### The MATCH function

• Finding the Required Data Using the MATCH Function
6

### Text functions and Flash Fill

• Creating Email Addresses Using the Excel Text Functions
7

### Dates and date functions

• Calculating the Number of Workdays Using a Date Function
8

### IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions

• Computing Annual Sales Using the IF Function
9

### Time and time functions

• Calculating Race Timings Using the Time Functions
10

### The net present value functions: NPV and XNPV

• Calculating Net Present Value Using the NPV Function
12

### More Excel financial functions

• Determining Depreciation Using Excel Financial Functions
14

### The Paste Special command

• Using the Paste Special Command to Convert Data
15

### Three-dimensional formulas and hyperlinks

• Summarizing Data Using Three-Dimensional Formulas
20

### The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions

• Counting Cells with Criteria Using COUNTIF and COUNTIFS Functions
21

### The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions

• Calculating with Criteria Using the COUNTIF and SUMIF Functions
22

### Summarizing data with histograms and Pareto charts

• Creating Bin Ranges Using Histograms
24

### Summarizing data with database statistical functions

• Summarizing Data
25

### Consolidating data

• Consolidating Data
26

### Creating subtotals

• Creating a Subtotal using the SUBTOTAL Function
27

### The OFFSET function

• Using the OFFSET Function to Create Lagged Values
28

### The INDIRECT function

• Using the INDIRECT Function to Tabulate Data
31

### Excel tables and table slicers

• Using Excel Tables to Perform Calculations
32

### Basic charting

• Creating a Scatter Chart
35

### Sparklines

• Creating Sparklines
36

### Importing data from a text file or document

• Importing Data from a Text File
37

### The Power Query Editor

• Using the Power Query Editor to Transform Data
39

• Sorting Data
41

### Array formulas and functions

• Performing Calculations Using Array Functions and Formulas
45

### Using PivotTables and slicers to describe data

• Creating a PivotTable and PivotChart
46

### The Data Model

• Using the Distinct Count Option for Calculation
50

### Using Solver to determine the optimal product mix

• Determining the Profit-Maximizing Product Mix Using Solver
52

### Using Solver to solve transportation or distribution problems

• Finding an Optimal Solution Using Solver
53

### Using Solver for capital budgeting

• Obtaining Maximum NPV using Solver
54

### Using Solver for financial planning

• Determining the Monthly Payment Using Solver
58

### The traveling salesperson problem

• Solving the Traveling Salesperson Problem
59

### Estimating straight-line relationships

• Creating a Scatter Chart and Adding a Trendline
60

### Modeling exponential growth

• Creating an Exponential Trend Curve
61

### The power curve

• Creating a Power Curve
62

### Using correlations to summarize relationships

• Using Correlations to Find the Relationship Between Variables
63

### Introduction to multiple regression

• Using Multiple Regression to Find the Optimal Forecasting Equation
69

### An introduction to random variables

• Using Variance and Standard Deviation to Measure the Spread of Data
70

### The binomial, hypergeometric, and negative binomial random variables

• Computing Binomial Probabilities
71

### The Poisson and exponential random variable

• Computing Poisson Distribution
72

### The normal random variable and Z-scores

• Calculating Z-Scores
73

### Using the lognormal random variable to model stock prices

• Calculating the Future Price of a Stock Using a Lognormal Variable
74

### Weibull and beta distributions: Modeling machine life and duration of a project

• Determining Probability Using the Beta Random Variable
75

### Using moving averages to understand time series

• Creating a Moving Average Graph
76

### Ratio-to-moving-average forecast method

• Using the Ratio-to-Moving-Average Forecasting Method
78

### The Winters method and the Forecast Sheet tool

• Estimating Smoothing Constants
80

### Introduction to Monte Carlo simulation

• Simulating the Values of a Normal Random Variable
81

### Calculating an optimal bid

• Determining the Optimal Bid using Simulation
82

### Simulating stock prices and asset-allocation modeling

• Determining Asset Allocation
83

### Fun and games: Simulating gambling and sporting-event probabilities

• Simulating the Outcome of a Sporting Event
84

### Using resampling to analyze data

• Implementing Resampling
85

### Advanced sensitivity analysis

• Creating a Spider Plot
86

### Pricing stock options

• Using Formula Protection in a Worksheet
87

### Determining customer value

• Determining Customer Value
89

### Inventory modeling with uncertain demand

• Determining the Economic Order Quantity (EOQ)
• Determining the Reorder Point
91

### Estimating a demand curve

• Plotting a Linear Demand Curve
93

### Pricing products by using subjectively determined demand

• Finding the Optimal Price Using Subjectively Determined Demand

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