University of Colorado Boulder

Everyday Excel, Part 2

This course is part of Everyday Excel Specialization

Taught in English

Some content may not be translated

Charlie Nuttelman

Instructor: Charlie Nuttelman

46,836 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(535 reviews)

|

94%

Intermediate level

Recommended experience

22 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Advanced data management techniques

  • How to implement financial calculations in Excel

  • How to use advanced tools in Excel (Data Tables, Goal Seek, and Solver) to perform and solve "what-if" analyses

  • How to create mathematical predictive regression models using the Regression tool in Excel

Details to know

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Assessments

11 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(535 reviews)

|

94%

Intermediate level

Recommended experience

22 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Everyday Excel Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 5 modules in this course

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!

What's included

17 videos11 readings3 quizzes2 discussion prompts

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!

What's included

13 videos4 readings2 quizzes1 discussion prompt

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!

What's included

10 videos4 readings2 quizzes1 discussion prompt

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!

What's included

12 videos4 readings2 quizzes1 discussion prompt

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!"

What's included

10 videos4 readings2 quizzes1 discussion prompt

Instructor

Instructor ratings
4.8 (182 ratings)
Charlie Nuttelman
University of Colorado Boulder
8 Courses407,842 learners

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