![]() Month and Sales data set, and predict Sales in Months 11 to. 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. Use FIVE possible ways in Excel to find b0, b1 and b2 in the linear regression model for Adv. To pass each module, you'll need to pass a mastery quiz and complete a problem solving assignment. The course is organized into 5 Weeks (modules). ![]() 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. This course is meant to be fun and thought-provoking. 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 the second part of a three-part series and Specialization that focuses on teaching introductory through very advanced techniques 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 aimed at intermediate users, but even advanced users will pick up new skills and tools in Excel. Building on concepts learned in the first course, you will continue to expand your knowledge of applications in Excel. ![]() ![]() "Everyday Excel, Part 2" is a continuation of the popular "Everyday Excel, Part 1". ![]()
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