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 summarising, reporting, and analysing 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.
Here’s what you will learn
Lesson 1: Introduction
- What you should know before reading this course?
- How to use this course?
Lesson 2: Basic worksheet modeling
- Answers to this lesson’s questions
- Problems
Lesson 3: Range names
- How can I create named ranges?
- Answers to this lesson’s questions
- Remarks
- Problems
Lesson 4: Lookup functions
- Syntax of the lookup functions
- Answers to this lesson’s questions
- Problems
Lesson 5: The INDEX function
- Syntax of the INDEX function
- Answers to this lesson’s questions
- Problems
Lesson 6: The MATCH function
- Syntax of the MATCH function
- Answers to this lesson’s questions
- Problems
Lesson 7: Text functions and Flash Fill
- Text function syntax
- Answers to this lesson’s questions
- Problems
Lesson 8: Dates and date functions
- Answers to this lesson’s questions
- Problems
Lesson 9: IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions
- Answers to this lesson’s questions
- Problems
Lesson 10: Time and time functions
- Answers to this lesson’s questions
- Problems
Lesson 11: The net present value functions: NPV and XNPV
- Answers to this lesson’s questions
- Problems
Lesson 12: The internal rate of return: IRR, XIRR, and MIRR functions
- Answers to this lesson’s questions
- Problems
Lesson 13: More Excel financial functions
- Answers to this lesson’s questions
- Problems
Lesson 14: Circular references
- Answers to this lesson’s questions
- Problems
Lesson 15: The Paste Special command
- Answers to this lesson’s questions
- Problems
Lesson 16: Three-dimensional formulas and hyperlinks
- Answers to this lesson’s questions
- Problems
Lesson 17: The auditing tool and the Inquire add-in
- Excel auditing options
- Answers to this lesson’s questions
- Problems
Lesson 18: Sensitivity analysis with data tables
- Answers to this lesson’s questions
- Problems
Lesson 19: The Goal Seek command
- Answers to this lesson’s questions
- Problems
Lesson 20: Using the Scenario Manager for sensitivity analysis
- Answer to this lesson’s question
- Remarks
- Problems
Lesson 21: The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions
- Answers to this lesson’s questions
- Remarks
- Problems
Lesson 22: The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions
- Answers to this lesson’s questions
- Problems
Lesson 23: Summarizing data with histograms and Pareto charts
- Answers to this lesson’s questions
- Problems
Lesson 24: Summarizing data with descriptive statistics
- Answers to this lesson’s questions
- Problems
Lesson 25: Summarizing data with database statistical functions
- Answers to this lesson’s questions
- Problems
Lesson 26: Consolidating data
- Answer to this lesson’s question
- Problems
Lesson 27: Creating subtotals
- Answers to this lesson’s questions
- Problems
Lesson 28: The OFFSET function
- Answers to this lesson’s questions
- Remarks
- Problems
Lesson 29: The INDIRECT function
- Answers to this lesson’s questions
- Problems
Lesson 30: Spin buttons, scrollbars, option buttons, check boxes, combo boxes, and group list boxes
- Answers to this lesson’s questions
- Problems
Lesson 31: Conditional formatting
- Answers to this lesson’s questions
- Problems
Lesson 32: Excel tables and table slicers
- Answers to this lesson’s questions
- Problems
Lesson 33: Basic charting
- Answers to this lesson’s questions
- Problems
Lesson 34: Advanced charting
- Answers to this lesson’s questions
- Problems
Lesson 35: Filled and 3D Maps
- Questions answered in this lesson
- Problems
Lesson 36: Sparklines
- Answers to this lesson’s questions
- Problems
Lesson 37: Importing data from a text file or document
- Answers to this lesson’s question
- Problems
Lesson 38: The Power Query Editor
- Answers to this lesson’s questions
- Problems
Lesson 39: Excel’s new data types
- Answers to this lesson’s questions
- Problems
Lesson 40: Sorting in Excel
- Answers to this lesson’s questions
- Problems
Lesson 41: Filtering data and removing duplicates
- Answers to this lesson’s questions
- Problems
Lesson 42: Array formulas and functions
- Answers to this lesson’s questions
- Problems
Lesson 43: Excel’s new dynamic array functions
- Answers to this lesson’s questions
- Problems
Lesson 44: Validating data
- Answers to this lesson’s questions
- Remarks
- Problems
Lesson 45: Importing past stock prices, exchange rates, and…tocurrency prices with the STOCKHISTORY function
- Answers to this lesson’s questions
- Problems
Lesson 46: Using PivotTables and slicers to describe data
- Answers to this lesson’s questions
- Problems
Lesson 47: The Data Model
- Answers to this lesson’s questions
- Problems
Lesson 48: Power Pivot
- Answers to this lesson’s questions
- Problems
Lesson 49: Use Analyze Data to find patterns in your data
- Answers to this lesson’s questions
- Problems
Lesson 50: An introduction to optimization with Excel Solver
- Answers to this lesson’s questions
- Problems
Lesson 51: Using Solver to determine the optimal product mix
- Answers to this lesson’s questions
- Problems
Lesson 52: Using Solver to schedule your workforce
- Answers to this lesson’s question
- Problems
Lesson 53: Using Solver to solve transportation or distribution problems
- Answer to this lesson’s question
- Problems
Lesson 54: Using Solver for capital budgeting
- Answer to this lesson’s question
- Problems
Lesson 55: Using Solver for financial planning
- Answers to this lesson’s questions
- Problems
Lesson 56: Using Solver to rate sports teams
- Answer to this lesson’s question
- Problems
Lesson 57: Warehouse location and the GRG Multistart and Evolutionary Solver engines
- Answers to this lesson’s questions
- Problems
Lesson 58: Penalties and the Evolutionary Solver
- Answers to this lesson’s questions
- Problems
Lesson 59: The traveling salesperson problem
- Answers to this lesson’s questions
- Problems
Lesson 60: Estimating straight-line relationships
- Answers to this lesson’s questions
- Problems
Lesson 61: Modeling exponential growth
- Answers to this lesson’s questions
- Problems
Lesson 62: The power curve
- Answers to this lesson’s questions
- Problems
Lesson 63: Using correlations to summarize relationships
- Answers to this lesson’s questions
- Problems
Lesson 64: Introduction to multiple regression
- Answers to this lesson’s questions
- Problems
Lesson 65: Incorporating qualitative factors into multiple regression
- Answers to this lesson’s questions
- Problems
Lesson 66: Modeling nonlinearities and interactions
- Answers to this lesson’s questions
- Problems for Lesson 51–53
Lesson 67: Analysis of variance: One-way ANOVA
- Answers to this lesson’s questions
- Problems
Lesson 68: Randomized blocks and two-way ANOVA
- Answers to this lesson’s questions
- Problems
Lesson 69: An introduction to probability
- Answers to this lesson’s questions
- Problems
Lesson 70: An introduction to random variables
- Answers to this lesson’s questions
- Problems
Lesson 71: The binomial, hypergeometric, and negative binomial random variables
- Answers to this lesson’s questions
- Problems
Lesson 72: The Poisson and exponential random variable
- Answers to this lesson’s questions
- Problems
Lesson 73: The normal random variable and Z-scores
- Answers to this lesson’s questions
- Problems
Lesson 74: Using the lognormal random variable to model stock prices
- Answers to this lesson’s questions
- Remarks
- Problems
Lesson 75: Weibull and beta distributions: Modeling machine life and duration of a project
- Answers to this lesson’s questions
- Problems
Lesson 76: Using moving averages to understand time series
- Answer to this lesson’s question
- Problem
Lesson 77: Ratio-to-moving-average forecast method
- Answers to this lesson’s questions
- Problem
Lesson 78: Making probability statements from forecasts
- Answers to this lesson’s questions
- Problems
Lesson 79: The Winters method and the Forecast Sheet tool
- Answers to this lesson’s questions
- Remarks
- Problems
Lesson 80: Forecasting in the presence of special events
- Answers to this lesson’s questions
- Problems
Lesson 81: Introduction to Monte Carlo simulation
- Answers to this lesson’s questions
- Problems
Lesson 82: Calculating an optimal bid
- Answers to this lesson’s questions
- Problems
Lesson 83: Simulating stock prices and asset-allocation modeling
- Answers to this lesson’s questions
- Problems
Lesson 84: Fun and games: Simulating gambling and sporting-event probabilities
- Answers to this lesson’s questions
- Problems
Lesson 85: Using resampling to analyze data
- Answer to this lesson’s question
- Problems
Lesson 86: Advanced sensitivity analysis
- Answer to this lesson’s question
- Problems
Lesson 87: Pricing stock options
- Answers to this lesson’s questions
- Problems
Lesson 88: Determining customer value
- Answers to this lesson’s questions
- Problems
Lesson 89: The economic order quantity inventory model
- Answers to this lesson’s questions
- Problems
Lesson 90: Inventory modeling with uncertain demand
- Answers to this lesson’s questions
- Problems
Lesson 91: Queuing theory: The mathematics of waiting in line
- Answers to this lesson’s questions
- Problems
Lesson 92: Estimating a demand curve
- Answers to this lesson’s questions
- Problems
Lesson 93: Pricing products by using tie-ins
- Answer to this lesson’s question
- Problems
Lesson 94: Pricing products by using subjectively determined demand
- Answers to this lesson’s questions
- Problems
Lesson 95: Nonlinear pricing
- Answers to this lesson’s questions
- Problems
Lesson 96: Recording macros
- Answers to this lesson’s questions
- Problems
Lesson 97: The LET and LAMBDA functions and the LAMBDA helper functions
- Answers to this lesson’s questions
- Problems
Hands-on LAB Activities
Basic worksheet modeling
- Performing Mathematical Calculations using Formulas
Lookup functions
- Accumulating Data Using the VLOOKUP Function
The INDEX function
- Extracting Data Using the INDEX Function
The MATCH function
- Finding the Required Data Using the MATCH Function
Text functions and Flash Fill
- Creating Email Addresses Using the Excel Text Functions
Dates and date functions
- Calculating the Number of Workdays Using a Date Function
IF, IFERROR, IFS, CHOOSE, SWITCH, and the IS functions
- Computing Annual Sales Using the IF Function
Time and time functions
- Calculating Race Timings Using the Time Functions
The net present value functions: NPV and XNPV
- Calculating Net Present Value Using the NPV Function
More Excel financial functions
- Determining Depreciation Using Excel Financial Functions
The Paste Special command
- Using the Paste Special Command to Convert Data
Three-dimensional formulas and hyperlinks
- Summarizing Data Using Three-Dimensional Formulas
The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions
- Counting Cells with Criteria Using COUNTIF and COUNTIFS Functions
The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS, and MINIFS functions
- Calculating with Criteria Using the COUNTIF and SUMIF Functions
Summarizing data with histograms and Pareto charts
- Creating Bin Ranges Using Histograms
Summarizing data with database statistical functions
- Summarizing Data
Consolidating data
- Consolidating Data
Creating subtotals
- Creating a Subtotal using the SUBTOTAL Function
The OFFSET function
- Using the OFFSET Function to Create Lagged Values
The INDIRECT function
- Using the INDIRECT Function to Tabulate Data
Excel tables and table slicers
- Using Excel Tables to Perform Calculations
Basic charting
- Creating a Scatter Chart
Sparklines
- Creating Sparklines
Importing data from a text file or document
- Importing Data from a Text File
The Power Query Editor
- Using the Power Query Editor to Transform Data
Sorting in Excel
- Sorting Data
Array formulas and functions
- Performing Calculations Using Array Functions and Formulas
Using PivotTables and slicers to describe data
- Creating a PivotTable and PivotChart
The Data Model
- Using the Distinct Count Option for Calculation
Using Solver to determine the optimal product mix
- Determining the Profit-Maximizing Product Mix Using Solver
Using Solver to solve transportation or distribution problems
- Finding an Optimal Solution Using Solver
Using Solver for capital budgeting
- Obtaining Maximum NPV using Solver
Using Solver for financial planning
- Determining the Monthly Payment Using Solver
The traveling salesperson problem
- Solving the Traveling Salesperson Problem
Estimating straight-line relationships
- Creating a Scatter Chart and Adding a Trendline
Modeling exponential growth
- Creating an Exponential Trend Curve
The power curve
- Creating a Power Curve
Using correlations to summarize relationships
- Using Correlations to Find the Relationship Between Variables
Introduction to multiple regression
- Using Multiple Regression to Find the Optimal Forecasting Equation
An introduction to random variables
- Using Variance and Standard Deviation to Measure the Spread of Data
The binomial, hypergeometric, and negative binomial random variables
- Computing Binomial Probabilities
The Poisson and exponential random variable
- Computing Poisson Distribution
The normal random variable and Z-scores
- Calculating Z-Scores
Using the lognormal random variable to model stock prices
- Calculating the Future Price of a Stock Using a Lognormal Variable
Weibull and beta distributions: Modeling machine life and duration of a project
- Determining Probability Using the Beta Random Variable
Using moving averages to understand time series
- Creating a Moving Average Graph
Ratio-to-moving-average forecast method
- Using the Ratio-to-Moving-Average Forecasting Method
The Winters method and the Forecast Sheet tool
- Estimating Smoothing Constants
Introduction to Monte Carlo simulation
- Simulating the Values of a Normal Random Variable
Calculating an optimal bid
- Determining the Optimal Bid using Simulation
Simulating stock prices and asset-allocation modeling
- Determining Asset Allocation
Fun and games: Simulating gambling and sporting-event probabilities
- Simulating the Outcome of a Sporting Event
Using resampling to analyze data
- Implementing Resampling
Advanced sensitivity analysis
- Creating a Spider Plot
Pricing stock options
- Using Formula Protection in a Worksheet
Determining customer value
- Determining Customer Value
Inventory modeling with uncertain demand
- Determining the Economic Order Quantity (EOQ)
- Determining the Reorder Point
Estimating a demand curve
- Plotting a Linear Demand Curve
Pricing products by using subjectively determined demand
- Finding the Optimal Price Using Subjectively Determined Demand
