Everyday Excel, Part 2
“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)".This course is the second part of a three-part series and Specialization that focuses on teaching introductory through very advanced techniques and tools in Excel. In this course (Part 2), you will: 1) learn advanced data management techniques; 2) learn how to implement financial calculations in Excel; 3) use advanced tools in Excel (Data Tables, Goal Seek, and Solver) to perform and solve “what-if” analyses; 4) learn how to create mathematical predictive regression models using the Regression tool in Excel.
This course is meant to be fun and thought-provoking. I hope for you to at least several times in the course say to yourself, “Wow, I hadn’t thought of that before!” Given the wide range in experience and abilities of learners, the goal of the course is to appeal to a wide audience. The course is organized into 5 Weeks (modules).
To pass each module, you’ll need to pass a mastery quiz and complete a problem solving assignment. This course is unique in that the weekly assignments are completed in-application (i.e., on your own computer in Excel), providing you with valuable hands-on training.
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
Syllabus
Syllabus - What you will learn from this course
Week 1
Advanced Data Management
Week 2
Excel for Financial Applications, Part 1
Week 3
Excel for Financial Applications, Part 2
Week 4
Case Studies and “What-If” Analyses
Week 5
Model Building in Excel
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
Really very nice course. Too much challenging and especially instructor is too much responsive and helpful.
Buen curso, aprendes el uso de funciones para el manejo de datos avanzado y métodos financieros. Thank you so much.
The learning experience is directly related to the challenge presented on course. Good content and quality assignments for all excel level users.
Very well designed course. There are some very challenging assignments that really improved my understanding of excel. I'm looking forward to Part 3.
