Everyday Excel 특화 과정

"Everyday Excel, Part 1" is aimed at learners who are seeking to learn Excel from the ground up. No experience with Excel is necessary. While this course is meant for beginners of Excel, advanced users will undoubtedly pick up new skills and tools.

This course is the first 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 1), you will: 1) learn how to effectively navigate around the Excel environment; 2) edit and format Excel worksheets; 3) implement basic to advanced Excel functions (including financial, logical, and text functions); 4) learn how to manage data sets (filter, remove duplicates, consolidate data, sort data, and validate data); and 5) learn how to effectively visualize data through scatterplots, column charts, and pie charts. New to Excel? That is entirely fine! This course is meant to be fun, thought-provoking, and appeal to a wide audience. No prior knowledge in programming nor advanced math skills are necessary. 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.

"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.