Everyday Excel, Part 2

Advanced Data Management

In Week 1 you will learn all about advanced data management strategies in Excel. These techniques include two-way look-ups, two-way conditional look-ups, how to find the maximum or minimum location in an array, conditional drop-down lists, advanced conditional formatting strategies, how to compare lists (for unique, duplicates, and absent items), advanced duplicate management, and how to work with expiry dates. Week 1 will conclude with a required quiz and an on-computer, in-application assignment. When you successfully complete Assignment 1, you will be given a "completion code", which you can input into the Assignment 1 submission quiz to earn credit for the assignment. For paid learners, the Week 2 Excel files will be released when you have successfully passed Quiz 1 and Assignment 1. Good luck!

Excel for Financial Applications, Part 1

In Weeks 2 and 3 you will learn all about advanced financial functions and applications in Excel. In Week 2, you will first learn about the concepts of and how to implement Excel formulas for the time value of money, simple and compound interest, and various loans (amortized, interest-only, and line of credit loans). You will learn how to create amortization schedules in Excel for these loans. Week 2 concludes with a required quiz and an on-computer, in-application assignment. When you successfully complete Assignment 2, you will be given a "completion code", which you can input into the Assignment 2 submission quiz to earn credit for the assignment. For paid learners, the Week 3 Excel files will be released when you have successfully passed Quiz 3 and Assignment 3. Good luck!

Excel for Financial Applications, Part 2

In Week 3, you will continue learning about advanced financial features of Excel. First, you will learn about depreciation and how to calculate depreciation and implement depreciation schedules in Excel. Next, you will learn about cash flows and net present value, and how to implement Excel functions to analyze cash flows. Then, you will learn how to compare financial alternatives. Finally, you'll learn about internal rate of return (IRR) and how to implement the IRR function in Excel. The week concludes with Quiz 3 and Assignment 3. When you successfully complete Assignment 3, you will be given a "completion code", which you can input into the Assignment 3 submission quiz to earn credit for the assignment. For paid learners, the Week 4 Excel files will be released when you have successfully passed Quiz 3 and Assignment 3. Good luck!

Case Studies and "What-If" Analyses

One of the most valuable aspects of Excel is that it can be used nicely for case studies and "what-if" analyses. In Week 4, you'll learn about case studies, one-way and two-way data tables, and how to use the Goal Seek and Solver tools for targeting calculations. You'll also learn to use the Solver tool for optimization problems and problems for which you have constraints. The week concludes with Quiz 4 and Assignment 4. When you successfully complete Assignment 4, you will be given a "completion code", which you can input into the Assignment 4 submission quiz to earn credit for the assignment. For paid learners, the Week 5 Excel files will be released when you have successfully passed Quiz 4 and Assignment 4. Good luck!

Model Building in Excel

Week 5 of the course is all about creating mathematical models for experimental data. In this week, you'll first learn about how to insert trendlines into Excel plots and how to linearly interpolate between data points. Next, you'll learn about simple linear regression, general linear regression, and multilinear regression models and how to use Excel's Regression tool to create these regression models. The week concludes with an introduction to the logistic regression model, which is a type of nonlinear regression model. The week concludes with Quiz 5 and Assignment 5. When you successfully complete Assignment 5, you will be given a "completion code", which you can input into the Assignment 5 submission quiz to earn credit for the assignment. Then, you can pat yourself on the back for completing "Everyday Excel, Part 2!"