"Everyday Excel, Part 2" is a continuation of the popular "Everyday Excel, Part 1". Building on concepts learned in the first course, you will continue to expand your knowledge of applications in Excel. This course is aimed at intermediate users, but even advanced users will pick up new skills and tools in Excel. By the end of this course, you will have the skills and tools to take on the project-based "Everyday Excel, Part 3 (Projects)".
Everyday Excel, Part 2
Everyday Excel, Part 2
This course is part of Everyday Excel Specialization
Instructor: Charlie Nuttelman
49,413 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.8
(546 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 22 hours
Learn at your own pace
94%
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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
Skills you'll gain
Details to know
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Assessments
11 assignments
Taught in English
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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.
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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 assignments2 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 assignments1 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 assignments1 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 assignments1 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 assignments1 discussion prompt
Instructor
Instructor ratings
4.8 (185 ratings)Offered by
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4.8
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Showing 3 of 546
SM
4
Reviewed on Mar 16, 2021
A nice step up from Part 1. The instructor does a good job of setting up the course. He provides files so you can work along with him.
SA
5
Reviewed on Jul 22, 2023
Extremely Helpful, Easy and Well explained lectures, and very best exercises. thank you Sir very much.
TK
5
Reviewed on May 17, 2023
It's the best course for Excel and for beginners and I really enjoyed learning this whole and it was a great experience.
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