## Range **Names**

This chapter covers Range Names and consists of 2 topics.

**This video shows how to use a named row in a formula and create ranges based on Excel formulas.**

**This video shows how to pick off an entry in an array by simply typing the row and column headings.**

## Text **Functions**

This chapter covers Text Functions and consists of 4 topics.

**This video shows how to Use the CLEAN, FIND, and SUBSTITUTE functions to remove invisible characters from your data.**

**This video shows how to use FLASH FILL in Excel 2013 and 2016 to automatically perform the work of text functions.**

**In this video we show how Control + E makes Flash Fill perform better.**

**In this video we show how the TEXT function can ensure that a value in one cell is converted in a different cell to any desired number format.**

## Auditing Tools, Circular References, and **IF Functions**

This chapter covers Auditing Tools, Circular References, and IF Functions and consists of 5 topics.

**This video shows how to use Precedents to see which cells are needed to compute a formula and using Dependents to find cells that are dependent on spreadsheet inputs.**

**This video shows how circular references can be used and resolved.**

**This video shows how to use IF statements to extract the data in a 20 row by 12 column table into 240 different rows.**

**This video shows how to use the IFERROR function to remove error messages from your spreadsheets. It also covers the AGGREGATE function which allows you to ignore error values in calculations.**

**In this video we use VLOOKUP, MATCH, INDEX, And IF functions to model a complex sales incentive plan.**

## Data Tables, Goal Seek, and **Scenario Manager**

This chapter covers Data Tables, Goal Seek, and Scenario Manager and consists of 6 topics.

**This video shows how to use a One Way Data Table to determine how changing a single spreadsheet input affects multiple outputs.**

**This video shows how to use a Two way data table to determine how changes in two spreadsheet inputs affect a single output.**

**This video shows how to use a Two way data table to determine how the monthly payment on a loan depends on the loan size and annual rate.**

**This video shows how Goal Seek can be used to determine the number of unit sales needed for a juice bar to break even.**

**This video shows how to use Goal Seek to determine the annual rate on a loan that makes the monthly payment hit a desired value.**

**In this video we show how to create a chart to summarize the numbers in a two-way data table.**

## Conditional Counts **and Sums**

This chapter covers Conditional Counts and sums and consists of 11 topics.

**This video shows how the SUMIFS function and the Remove Duplicates functionality are used to calculate the sales each sales person made of each product.**

**This video shows how SUBTOTALS are used to determine how much each salesperson sold in each region.**

**This video shows how DATA CONSOLIDATE is used to combine data from several workbooks to calculate total sales of each product during each month.**

**This video shows how the DCOUNT, DSUM, and DAVERAGE functions are used to compute conditional counts, sums, and averages. It includes doing conditional calculations based on an “OR” criteria.**

**This video shows how Database functions are used with criteria based on an Excel formula.**

**This video shows how to use the DGET function to pull the location of a transaction based on the date and ID code.**

**This video shows how the Advanced Filter can be used to extract any subset of a spreadsheet’s data and copy this data to a new location.**

**This video shows how to do conditional sums and counts where one criteria is that the cell does not contain a blank.**

**In this video we show (amazingly) that for 70% of all countries the first digit in their population is 1,2,3, or 4!**

**In this video we show how to find the n’th match to a word in a column.**

**In this video we show how to use text functions, IFERROR, COUNTIF, and AVERAGEIF functions to analyze the effectiveness of Adrian Peterson’s off tackle runs.**

## Conditional Formatting and **Data Validation**

This chapter covers Conditional Formatting and Data Validation and consists of 7 topics.

**This video shows how cells can be formatted based on a complex Excel formulas. For example, highlight in green, each quarter a company’s sales increase, and in red each quarter a company’s sales decrease.**

**This video continues to show how to conditional format based on a formula.**

**This video shows how Data Validation criteria can be set up with Excel formulas. For example, we show how to ensure that entering any non-numerical entry in column A creates an error message.**

**This video shows how to ensure that data not meeting a desired criteria is circled.**

**This video shows how to highlight employees who have just been hired.**

**In this video we show how to highlight all baseball players who are good on HR’s, Stolen Bases, and Batting Average.**

**In this video we show how to use data bars, color scales, and icon sets to format sports data.**

**Tables**

This chapter covers Tables and consists of 10 topics.

**This video shows that if you need a worksheet for each state set up in an identical format, how to easily use worksheet templates to set up the 50 needed worksheets.**

**This video shows how three dimensional formulas can be used to sum data across worksheets.**

**This video shows how the Paste Special Menu can be used to transpose data and divide “spread out cells” in a worksheet by 100**

**This video shows how making data a Table ensures that formulas update automatically when new data is added.**

**In this video we show how making data a Table ensures that charts update automatically when new data is added.**

**In this video we show how slicers can be used to “slice and dice” the data in Tables.**

**In this video we show how tables make drop down boxes, VLOOKUPS, SUMIF formulas and NPV calculations automatically update when new data is added.**

**In this video we show how the AGGREGATE function is needed to ensure calculations based on Table Slicers are correct.**

**In this video we show how to make Conditional Formats based on Formulas update automatically when new data is added.**

**This video shows how copying formulas across a table can be tricky.**

## Pivot **Tables**

This chapter covers Pivot Tables and consists of 14 topics.

**n this video we show how to summarize data as a Percentage of a Row or Column.**

**In this video we show how to create a calculated field based on PivotTable columns.**

**In this video we show how slicers allow you to slice and dice sales by country and product.**

**In this video we show how GETPIVOTDATA is used to extract data from a PivotTable for use in reports and charts.**

**In this video we show how to create a calculated item based on rows in a PivotTable. For example, group together all cars made in Germany in a Calculated Item called Germany.**

**In this video we show how to slice and dice PivotTable calculations based on any subset of months, quarters or years. The functionality of this video is for Excel 2013 and Excel 2016 users.**

**In this video we show how to summarize a survey with a PivotTable and PivotChart.**

**In this video we show how to create PivotTables from data in multiple worksheets and/or workbooks.**

**In this video we show how to create many PivotTables based on a Filter.**

**In this video we show how Excel 2013 and 2016 users can use the Data Model to efficiently link data without using thousands of VLOOKUPS.**

**In this video we show how to use Pivot Tables to analyze NBA players.**

**In this video we continue to show how Pivot Tables can be used to analyze NBA players.**

**In this video we show that the lack of C sections on weekends explains why there are fewer births on weekends.**

**In this video we show how to use IF, VLOOKUP, PivotTables, and AVERAGEIFS functions to solve a tax accounting problem.**

## Descriptive **Statistics**

This chapter covers Descriptive Statistics and consists of 7 topics.

**In this video we show how to use a histogram to summarize Cisco’s monthly returns.**

**In this video we discuss symmetric, positively, and negatively skewed histograms.**

**In this video we discuss measures of typical value, variation about the mean, and skewness.**

**In this video we discuss how to determine normal variation for any data set.**

**In this video we discuss the PERCENT, PERCENTRANK, LARGE, SMALL, and RANK functions.**

**In this video we show how to take a random sample size of 50 from 285 NBA players.**

**In this video we show how to choose a job based on multiple objectives.**

## Trend Curve, Correlation, and **Regression to the Mean**

This chapter covers Trend Curve, Correlation, and Regression to the Mean and consists of 12 topics.

**In this video we show how to find the line best fitting a set of bivariate data.**

**In this video we show how the RSQ, SLOPE, INTERCEPT, and STEYX functions can be used to analyze a linear regression.**

**In this video we show how exponential growth can be used to fit bivariate data where the graph gets steeper.**

**In this video we show how to fit a constant elasticity or power demand curve.**

**In this video we show how to fit a quadratic demand curve based on 3 data points.**

**In this video we show how to estimate a Learning curve which shows how the unit cost of producing a product drops as more of the product has been produced.**

**In this video we show how the concept of correlation can measure the strength of the linear association between monthly returns on six stocks.**

**In this video we show how the SLOPE function can be used to quickly estimate the Betas of many stocks.**

**In this video we show how the idea of Regression to the Mean explains why NFL teams that do well in one season usually do not do as well the next season.**

**In this video we show how to summarize quarterly Amazon.com revenues with a Moving Average Chart and smooth out the trend and eliminate seasonality.**

**In this video we show that an R Squared value of 0.99 is not necessarily that good.**

**In this video we show how to determine which of the linear, exponential, and power curve best fit a bi-variate relationship.**

## Multiple **Regression**

This chapter covers Multiple Regression and consists of 12 topics.

**In this video we show how multiple regression is used to predict computer sales per-capita based on education and income.**

**In this video we continue from the previous example.**

**In this video we show how to incorporate qualitative variables such as seasonality to predict auto sales.**

**In this video we show how conjoint analysis can determine what product attributes are valued by customers.**

**In this video we show how an actual regression is used to illustrate conjoint analysis.**

**In this video we show how conjoint analysis is used to estimate the value of product attributes.**

**In this video we show how to include nonlinearities and interactions in a multiple regression analysis.**

**In this video we use multiple linear regression to show what makes NBA teams win.**

**In this video we show how to use multiple regression to closely approximate the NFL’s QB Rating formula.**

**In this video we show how Maximum Likelihood Estimation is used to estimate statistical parameters.**

**In this video we show logistic regression can be used to predict dependent variables that can assume two outcomes (such as Live or Die after an operation.)**

**In this video we use multiple regression with nonlinearities and interactions to reverse engineer the complex Windchill Index formula.**

**Probability**

This chapter covers Probability and consists of 7 topics.

**In this video we define the concept of an experiment, sample space, and solve some simple probability problems.**

**In this video we define mutually exclusive events and show how to compute P(A or B) for events A and B.**

**In this video we explain how to use the Rule of Complements to solve tricky probability problems.**

**In this video we define independent events and show how easy it is to compute P(A and B) for independent events.**

**In this video we show how to compute the probability of one event given that another event has occurred.**

**Leading up to Bayes theorem, In this video we develop the Law of Total Probability.**

**In this video we show Bayes Theorem allows us to use information to update probabilities.**

## Random **Variables**

This chapter covers Random Variables and consists of 7 topics.

**In this video we show how to compute the mean, standard deviation, and variance of random variables.**

**In this video we show how to compute probabilities involving repeated trials with two outcomes (success or failure).**

**In this video we discuss the mean, variance and standard deviation of a binomial random variable.**

**In this video we show how to compute Poisson probabilities in situations where in a small length of time either 0 or 1 events occur.**

**In this video we show how to compute probabilities for the normal random variable.**

**In this video we show how to use the normal random variable to approximate probabilities involving sums of >=30 random variables.**

**In this video we show how Z scores are used to measure how “unusual” a data point is.**

## Array **Formulas**

This chapter covers Array Formulas and consists of 16 topics.

**In this video we show how array formulas and functions can fill more than one cell.**

**In this video we use simple examples to enhance your understanding of array formulas.**

**In this video we show how to use array formulas to find the total length of cells in a range or the length of the longest cell in the range.**

**In this video we show how to find the 6 smallest numbers in a range.**

**In this video we show how array formulas can emulate the SUMIF and DSUM functions.**

**In this video we show how an array formula can emulate the SUMIFS functions.**

**In this video we show how an array formula can select rows for a conditional sum based on an “OR” criteria.**

**In this video we use an array formula to create a MEDIANIF function.**

**In this video we use an array formula to create a Standard Deviation If function.**

**In this video we show how the SUMPRODUCT function can be used to set up a criteria used to select rows in which columns are multiplied.**

**In this video we use an array formula to find all unique entries in an array.**

**In this video we show how the TRANSPOSE function can be used to dynamically transpose a row of data into a column.**

**In this video we show how the FREQUENCY array function can be used to count the number of observations in a data set that fall into several bin ranges.**

**In this video we show how to Multiply and Invert matrices.**

**In this video we show how to use multiple regression and the TREND array function to predict US Auto Sales.**

**In this video we show how the LINEST array function can be used to run a multiple regression which automatically updates when new data is added.**

## Offset and **Indirect Functions**

This chapter covers the Offset and Indirect Functions and consists of 13 topics.

**In this video we define the complex, powerful, and often misunderstood OFFSET function.**

**In this video we use the OFFSET function to emulate a VLOOKUP when the look value is matched in the right-hand and not left-hand column of a spreadsheet range.**

**In this video we show how the OFFSET function can be used to create (in 2 minutes) thousands of formulas that create Phase I, II, and III costs for a drug.**

**In this video we show how the OFFSET, MATCH, and INDEX functions can analyze tax data imported from a PDF.**

**In this video we show how the OFFSET function is used to return the most recent month of sales.**

**In this video we show how to create a dynamic range that automatically expands when new rows or columns of data are added.**

**In this video we create a chart that always shows the last 6 months of sales.**

**In this video we define the complex, powerful, and often misunderstood INDIRECT function.**

**In this video we use the INDIRECT function to consolidate data from any subset of cells in any subset of worksheets into a single summary.**

**In this video we use the INDIRECT function to efficiently copy formulas involving Range Names.**

**In this video we show how to easily find all the worksheet names in a workbook.**

**In this video we show how to create a Nested Dropdown box where the entries in the second dropdown box depend on the value selected in the first dropdown box.**

**In this video we show how to use the INDIRECT function to move monthly stock return data in 30 different worksheets to a single worksheet where the data can be analyzed.**

## Optimization and the **Excel Solver**

This chapter covers Optimization and the Excel Solver and consists of 25 topics.

**In this video we introduce the concept of optimization and show how the Excel Solver can be used to find a profit-maximizing product mix.**

**This video builds upon the previous video on Solver Optimization.**

**This video builds upon the previous two videos on Solver Optimization.**

**In this video we show how to find the cost minimizing distribution strategy that ships products from plants to customers.**

**In this video we show how to use the Excel Solver to find cost minimizing workforce schedules.**

**In this video we show how to choose the subset of 20 projects that maximizes NPV subject to limited resources.**

**In this video we show how binary changing cells can be used to select Daily Fantasy Lineups.**

**This video is a continuation of the previous Fantasy Sports Example.**

**In this video we show how to use the Solver to solve for monthly mortgage payments and your needed annual retirement contribution.**

**In this video we show how to predict winners of NFL games based on past scores.**

**In this video we show how to use scores of past NFL games to predict scores of future games.**

**In this video we show how to estimate the demand for lipstick and use Solver to find a profit-maximizing price.**

**In this video we show how to locate one or two warehouses to minimize the distance shipments travel to customers.**

**In this video we give a complex formula that approximates (based on latitude and longitude of two locations anywhere on Earth) the distance between the two locations.**

**In this video we show how to determine for a given percentage price change, the change in demand needed to break even.**

**In this video we show how to determine how much money needs to be saved each year so that in 10 years we have accumulated one year of salary.**

**In this video we show how to use the Solver to determine a sampling plan that has a high chance of accepting a batch with a low fraction of defectives and a high probability of rejecting a batch with a high fraction of defectives.**

**In this video we show how to use the Solver to assign school bus drivers to bus routes.**

**In this video we show how to minimize the cost of shipping a product from plants through warehouses to customers.**

**In this video we show how to use solver to solve a simple inventory problem.**

**In this video we show how to use the Solver to find the shortest route between two nodes.**

**In this video we show how Solver can be used to develop a hypothesis test to determine if students at a school have an average IQ larger than 100.**

**In this video we use the Solver to allocate an investment portfolio to gold, REITs, stocks, t-bills, and bonds.**

**In this video we show how to use the Solver to minimize the cost of sending material from one place to another.**

**In this video we use the solver to find the cheapest diet of McDonald’s foods that meet various nutritinoal contstraints**

**Forecasting**

This chapter covers Forecasting and consists of 11 topics.

**In this video we show how to estimate the trend and seasonal indices for monthly US airline miles.**

**In this video we show how the Ratio to Moving Average Method is used to forecast time series in the presence of Trend and Seasonality.**

**In this video we conclude our discussion of the Ratio to Moving Average Method.**

**In this video we show how Winter’s exponential smoothing method can be used to forecast in the presence of Trend and seasonality.**

**This video is a continuation of the Winter’s Method of forecasting.**

**This video is a continuation of the Winter’s Method of forecasting.**

**This video is the implementation and conclusion of the Winter’s Method of forecasting.**

**In this video we show how to incorporate seasonality and special factors in a forecast of a bank’s daily customer count.**

**In this video we finish our discussion of forecasting daily customer count at a bank.**

**In this video we show how to use the Excel Solver to determine how seasonality, PC sales, and launch dates affect software sales.**

**In this video we show how to use the Solver to determine how our price, the competitor’s price, and whether the product is on display influences candy bar sales.**

## Monte Carlo **Simulation**

This chapter covers Monte Carlo Simulation and consists of 14 topics.

**In this video we introduce Monte Carlo Simulation. Monte Carlo can model the probability distribution of outcomes in the presence of uncertainty.**

**In this video we illustrate the RAND and RANDBETWEEN functions which are the key to Excel simulations.**

**In this video we show how to simulate a discrete random variable.**

**In this video we show how to simulate a normal random variable.**

**In this video we simulate the number of runs a baseball team scores in an inning.**

**In this video we use simulation to estimate the probability that if n people are in the room at least two people have the same birthday.**

**In this video we show how to determine the probability of winning at craps.**

**In this video we show how to determine an order or production quantity that maximizes expected profit in the presence of uncertain demand.**

**In this video we show how to determine a bid that maximizes expected profit given the uncertainty about competitor’s bidding behavior.**

**In this video we show how to “draw” a five card poker hand and calculate the chance of getting two pair.**

**In this video we show how simulation can be used to estimate the chance of each team winning the NBA finals.**

**In this video we answer the question, “If I have $2 and play an unfair game, what is the chance I get to $6 before going bankrupt?”**

**In this video we answer the question, “If a stock is equally likely to return 60% or -40% each year, is it a good stock?” You might be surprised!**

**In this video we show how to determine the average length of the longest winning streak for a team that wins 70% of their games.**

## Advanced **Solver**

This chapter covers Advanced Solver and consists of 17 topics.

**In this video we show how the Simplex LP solver finds an optimal solution.**

**In this video we show how the GRG solver finds an optimal solution to “smooth” nonlinear optimization problems.**

**In this video we show how the EVOLUTIONARY solver finds an optimal solution to “non-smooth” nonlinear optimization problems.**

**In this video we show how the GRG Solver optimally locates a single warehouse.**

**In this video we show how the GRG Multistart Solver optimally locates two warehouses.**

**In this video we show how the Evolutionary Solver uses penalties to solve optimization problems using non-smooth functions such as IF and COUNTIF.**

**This video is the conclusion of the previous example of Assigning Workers to Jobs.**

**In this video we show how John Deere used the Evolutionary Solver and the concept of target cell “penalties” to schedule the production of riding mowers.**

**In this video we show how the Evolutionary Solver is used to solve sequencing problems.**

**In this video we use the GRG Multistart solver to estimate product and cross product elasticities.**

**In this video we show how to fit customized learning curve models.**

**In this video we show how to use the Evolutionary Solver to solve the classic Bin Packing Problem.**

**In this video we use the Evolutionary Solver to determine a final exam schedule that eliminates student conflicts.**

**In this video we show how to use the Evolutionary Solver to develop a linear scoring rule that effectively classified data points into one of two groups.**

**In this video we use the Evolutionary Solver to show that every US city is demographically similar to either LA, Memphis, SF, or Omaha.**

**In this video we use the evolutionary solver to find the minimum cost method of providing sufficient process capacity to meet demand.**

**In this video we use the DIF capabilities of the Evolutionary Solver to implement the Toyota goal chasing method for scheduling car production.**

## Excel 2016 **Charts**

This chapter covers Excel 2016 Charts and consists of 10 topics.

**In this video we show how to use Excel 2016 to create much improved histograms.**

**In this video we show how to use Excel 2016 to create much improved Pareto charts.**

**In this video we show how to use Excel 2016 to create a Boxplot to summarize the results of the 1970 Draft Lottery.**

**In this video we show how to use Excel 2016 to create a Boxplot that summarizes multiple test scores at three high schools.**

**In this video we show how to use an Excel 2016 Waterfall chart to summarize the progress of sales during a year.**

**In this video we show how to use an Excel 2016 Waterfall chart to summarize how various cost centers reduce Company Revenue and Profit.**

**In this video we use an Excel 2016 TreeMap or Mosaic chart to summarize hierarchical bookstore sales data.**

**In this video we use an Excel 2016 Sunburst chart to summarize hierarchical bookstore sales data.**

**In this video we use an Excel 2016 Sunburst chart to summarize quarterly and monthly sales data.**

**In this video we use the SUMIFS functions to prepare restaurant sales data and then summarize the sales data with a TreeMap chart.**

## Supply **Chain**

This chapter covers Supply Chain and consists of 14 topics.

**In this video we use optimization to find a minimum cost production schedule that meets demand on time.**

**In this video we show how to create a linear solver model which allows for shortage costs as well as holding costs.**

**In this video we extend our Solver Inventory model to account for hiring and firing workers.**

**In this video we discuss the famous EOQ formula, which recommends the cost minimizing order trading off holdings and ordering costs.**

**In this video we show how Power of Two ordering policies simplify the coordination of ordering when several products are involved.**

**In this video we show how coordinating ordering of multiple products can reduce supply chain costs.**

**In this video we show how to determine the optimal order quantity when large order quantities result in quantity discounts.**

**In this video we define Cycle Service Level (CSL) and show how to determine a reorder point and safety stock that results in a desired CSL.**

**In this video we define Fillrate and show how to determine a reorder point and safety stock that result in a desired Fillrate.**

**In this video we use a two-way data table to find the distances between each pair of 100 world cities.**

**In this video we locate 4 warehouses to optimally serve 100 cities.**

**In this video we show how to schedule jobs to minimize number of late jobs and total days jobs are late.**

**In this video we discuss how to compute the average number of people in line and the average time to spend waiting in line.**

**In this video we show how to use Little’s Law to compute a firm’s inventory turns.**

**Charting**

This chapter covers Charting and consists of 6 topics.

**In this video we show how to use Check**

**B**

**oxes to control which series show in a chart.**

**In this video we show how to use List Boxes to control which series shows in a chart.**

**In this video we show how to create a Spinner that enables you to change the values of any number of spreadsheet inputs by clicking on your Spinners.**

**In this video we use GETPIVOTDATA and the Excel Table feature to create dynamic charts based on a PivotTable.**

**In this video we use Sparklines to visually summarize daily customer counts in different bank branches in a single cell for each branch.**

**In this video we use Win Loss Sparklines to visually summarize week by week NFL results.**

## Power **View**

This chapter covers Power View and consists of 5 topics.

**In this video we introduce the cool charting capabilities of Power View by summarizing iced tea sales.**

**In this video we show how to use Tiles to chart tea sales in a selected state.**

**In this video we show how to use a map to summarize iced tea sales in each state.**

**In this video we show how Power View Multiples quickly create a separate chart summarizing sales of each product sold.**

**In this video we show how to create a “movie” that shows how three US crime statistics change over time.**

**Macros**

This chapter covers Macros and consists of 10 topics.

**In this video we show how to make the Developer Tab appear on your ribbon.**

**In this video we record a Macro that inserts a list of team members starting in cell A1. We also create a button to run the macro.**

**In this video we show how to use Relative References to make sure our list of names can be entered anywhere in our workbook.**

**In this video we create a macro to apply a desired format to a range of selected cells and show how to run the Macro by clicking on a picture (in this case an Aircraft Carrier).**

**In this video we show how to create a macro that formats a range of variable size.**

**In this video we create a macro that coverts formulas in a selected range to numerical values.**

**In this video we create macros that enable us to toggle in a PivotTable between a view that shows sales for all customers and sales for only our top 20 customers.**

**In this video we show how to create a macro that places a border around a range of selected cells.**

**In this video we discuss how to save a macro to your Personal Macro Workbook.**

**In this video we show how to create a macro that will sort a list by last and first name.**