Excel Skills Simplified: Tutorials That Actually Work
In Excel, you can easily find the range of a set of numbers or values using the MIN and MAX functions. The range is defined as the difference between the highest (maximum) and lowest (minimum) values in a dataset.
Here’s how you can use a range calculator tool in Excel:
Creating a Formula Bot within Excel involves setting up a system where users can input specific parameters or queries, and the spreadsheet returns appropriate Excel formulas or performs calculations based on those inputs.
Although Excel does not support traditional bot functionalities like natural language processing, you can develop a sophisticated, interactive tool using a combination of formulas, data validation, and possibly VBA – Visual Basic for Applications – for more advanced features. Below is a comprehensive guide on how to create such a tool.
I will show you how to do an exponential regression in Excel. Exponential regression is a useful statistical method to fit an exponential function to a set of data points.
Extrapolation is the process of estimating values beyond the range of available data. In Excel, extrapolation can be done using various methods, including linear regression, exponential regression, and polynomial regression. We will discuss how to extrapolate in Excel using these methods.
In this Excel tutorial, you will learn how to perform a DCF analysis in Excel.
A discounted cash flow (DCF) analysis is a financial model used to estimate the intrinsic value of an investment or project. This method takes into account the future cash flows generated by an investment, discounted to their present value using a discount rate.
Regression analysis is a statistical method that is used to find the relationship between two or more variables. Typically, the variables are numeric. However, it is also possible to do regression analysis with non-numeric data.
Categorical data is data that can be categorized into groups, such as gender, age, or product type.
Regression analysis with non-numeric data can be used to predict future behavior and make strategic business decisions. For example, you might use it to determine which products a customer is likely to buy based on their demographic category.
SQL statements can be used to retrieve information from records that may be held in an Excel spreadsheet or a database.
In this Excel tutorial you will learn how to perform Monte Carlo simulation in Excel to evaluate risk and forecast outcomes. By using Monte Carlo simulation in Excel, you’ll discover how to model uncertainty in financial models, project management, and forecasting with realistic probability-based scenarios.