BA 144 - Applied Excel in Business Description This course focuses on the tools used to make data-driven decisions in business. Using the current version of Microsoft Excel, students solve business problems by creating and modifying spreadsheets. The course introduces students to spreadsheets and progresses to advanced spreadsheet features such as financial modeling, reporting and data validation. Credit Hours: 3 Contact Hours: 3 Prerequisites/Other Requirements: None English Prerequisite(s): None Math Prerequisite(s): None Course Corequisite(s): None Academic Program Prerequisite: None Consent to Enroll in Course: No Department Consent Required Dual Enrollment Allowed?: Yes Number of Times Course can be taken for credit: 1 Programs Where This Course is a Requirement: Pre-Accounting, A.B. (3+1, Davenport University), Pre-Business, A.B. (3+1, Davenport University), Pre-Business, A.A. (Grand Valley State University), Pre-Management, A.B. (3+1, Davenport University), Pre-Marketing, A.B. (3+1, Davenport University) General Education Requirement: None General Education Learner Outcomes (GELO): NA Course Learning Outcomes:
- Enter text, number, date, and time data to create efficient, effective worksheets.
- Effectively communicate information using functions and worksheet formatting.
- Create formulas and functions to perform calculations, analyze data, solve problems, and help in making wise business decisions.
- Create a variety of detailed charts appropriate to the data that will visually represent and analyze the data.
- Use logical and retrieval functions to analyze data in support of decision making.
- Use tables, database functions, PivotTables, and PivotCharts to quickly summarize and analyze large amounts of data.
- Use multiple worksheets, workbooks, and templates to create an Excel application.
- Perform formula auditing, use data validation, create macros, and explore worksheet and workbook protection to refine an Excel application.
- Understand the benefits of analyzing data sets and demonstrate techniques to import, organize, and clean data sets from a variety of sources.
- Utilize various forecasting and optimization tools, such as data tables, Scenario Manager, and Solver to support decision making.
- Utilize VBA to create custom functions.
- Create and/or organize data and information into meaningful patterns in order to interpret and draw inferences from it. (CT3)
- Complete work accurately, with attention to detail. (PR3)
Course Outline: I. Create, Navigate, Work with, and Print Worksheets
II. Formats, Functions, and Formulas
III. Cell References, Named Ranges, and Functions
IV. Effective Charts
V. Complex Logical and Retrieval Functions
VI. Integrating Complex Functions into Business Analysis
VII. Multiple Worksheets, Workbooks, and Templates
VIII. Building an Application with Multiple Worksheets and Workbooks
IX. Organize, Import, Export, and Cleanse Data Sets
X. Data Tables, Scenario Manager, and Solver
XI. Visual Basic Approved for Online and Hybrid Delivery?: Yes Instructional Strategies: Individualized Instruction (Observe/Coach): 75-95%
Lecture/Demonstration: 5-25% Mandatory Course Components: None Equivalent Courses: None Name of Industry Recognize Credentials: None
Course-Specific Placement Test: None Course Aligned with ARW/IRW Pairing: NA Mandatory Department Assessment Measures: None Course Type: Program Requirement- Offering designed to meet the learning needs of students in a specific GRCC program. Course Format: Lecture - 1:1 Total Lecture Hours Per Week: 3 People Soft Course ID Number: 105049 Course CIP Code: 52.9999 Maximum Course Enrollment: 24 General Room Request: Business Computer Lab School: School of Business & Industry Department: Business Discipline: BA First Term Valid: Fall 2020 (8/1/2020) 1st Catalog Year: 2020-2021 Faculty Credential Requirements: Master’s Degree (GRCC general requirement) Faculty Credential Requirement Details: Master’s degree in Business or business related field (such as Accounting, Finance, Sales, Marketing, Production and Operations Management). Course Review & Revision Year: 2025-2026
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