Master Microsoft Excel's Data Analysis tools with focus on single and multiple regression techniques for solving practical business problems and forecasting.
Master Microsoft Excel's Data Analysis tools with focus on single and multiple regression techniques for solving practical business problems and forecasting.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Problem Solving Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
English
What you'll learn
Build and use single regression models in Excel
Perform multiple regression analysis
Apply regression tools to business problems
Develop data-driven business solutions
Interpret statistical results for decision-making
Skills you'll gain
This course includes:
1 Hours PreRecorded video
11 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course teaches students how to use Microsoft Excel's Data Analysis tools for business problem-solving. The curriculum focuses on building and applying single and multiple regression models, with practical applications through business case studies. Students learn to use the Data Analysis Toolpak, perform regression analysis, and combine spreadsheet modeling with data analysis tools.
Introduction to Business Modeling Tools
Module 1 · 35 Minutes to complete
Introduction to Regression
Module 2 · 4 Hours to complete
Multivariate Regression
Module 3 · 2 Hours to complete
Regression Business Case Problem
Module 4 · 2 Hours to complete
Fee Structure
Instructor
Educational Leader and Technology Expert
Alton Henley currently serves as the college-wide Dean of Business, Economics, Accounting, Computer Applications, Hospitality Management, and Paralegal Studies at Montgomery College, bringing a unique blend of industry and academic experience to his role. His career spans 20 years in the IT industry followed by 12 years in education, where he has taught Web Development, Analytics, and Cybersecurity. His academic credentials include a bachelor's degree in Liberal Studies from Excelsior College and an MBA in Finance from Howard University. Before his current position, he served as the senior director of the Information Technology Institute in Workforce Development and Continuing Education at Montgomery College, where he managed over 300 courses annually and mentored more than 70 part-time faculty and staff. His leadership has contributed to significant program expansions, including growing the Montgomery Can Code program by 200%
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