This course will illustrate data analytics with Excel using fundamental statistical concepts (i.e., descriptive statistics, statistical inference, and regression analysis). In so doing, it offers students a jumping-off point into the world of visualizations and data-driven decision-making from a one-stop-shop software solution. Participants will become adept at tools such as Pivot Tables, the Data Analysis Toolpak, the VLOOKUP, and other formulas which are relevant and applicable to today's vast enterprises and business endeavors.
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education for working professionals who have completed at a minimum a bachelor's degree or are currently enrolled in a degree program, including financial/data and/or business analysts, accountants, client relationship managers, and account managers from a wide variety of industries. Anyone interested in data analytics is also welcome.
Course Materials:
Required Applications:
Technical Requirements
Prerequisites:
This is the first of four courses in the Data Analytics and Visualization Certificate. Courses must be taken in order.
A Bachelor's degree or currently in a bachelor's program, with a basic mathematics background preferred, with at least one course, preferably, in basic statistics taken at the college level.
Data Analytics and Visualization Certificate – Bundle and save 10% when you enroll in all four courses (must add all 4 courses in one transaction for discount):
To apply credit, select the checkbox and select "BUS – DAV Bundle and Save 10%" for a discount on each course.
**Only one discount can be applied per course. Discount does not apply to certificate fee. **
Once you have enrolled in your course, log in to your account to access the course Welcome Letter, which includes directions on how to access the New Student Orientation and your online course.
Participants in our Essentials of Analytics in Excel course can expect the following outcomes:
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How is the learning structured? In an online fixed-date course, you and your classmates will proceed through the curriculum together, collaborating in a shared learning experience. Each online fixed-date course is asynchronous, meaning that you can work on your assignments anytime, although required to complete the assignments by specific dates. The course is designed with learning modules where all of the content is grouped into weekly assignments. Each module covers one or more topics. Within each of the learning modules, you can expect the following components:
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