"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 part of the Everyday Excel Specialization
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About this Course
A knowledge of algebra will help for some of this course.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will 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 will gain
- Data Management
- Spreadsheet
- Microsoft Excel
- Problem Solving
- Real World
A knowledge of algebra will help for some of this course.
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
Advanced Data Management
Excel for Financial Applications, Part 1
Excel for Financial Applications, Part 2
Case Studies and "What-If" Analyses
Reviews
- 5 stars84.29%
- 4 stars11.98%
- 3 stars2.06%
- 1 star1.65%
TOP REVIEWS FROM EVERYDAY EXCEL, PART 2
sir charlie explains things very well , the assignments are good . the course was nice , hope to get more examples regarding business scenarios too.
Nice course
I have enjoyed both part 1 and part 2 of Every Day Excel. The screencasts are informative and easy to watch. I am looking forward to part 3!
Charlie is an AMAZING instructor - I learned a lot, and I wouldn't have if it weren't for his teaching style!
This part of the training was little dificult as Stats are not used by me regularly. The stat concepts were also learned in this session
About the Everyday Excel Specialization

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