Excel Regression Models for Business Forecasting
Master regression analysis in Excel for business forecasting, from simple models to seasonal and autoregressive techniques.
Master regression analysis in Excel for business forecasting, from simple models to seasonal and autoregressive techniques.
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 Excel Skills for Business Forecasting 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.
4.9
(96 ratings)
5,213 already enrolled
Instructors:
English
Tiếng Việt
Powered by
What you'll learn
Create and evaluate simple regression models
Develop multiple variable regression analyses
Implement dummy variable regression techniques
Apply seasonal regression models for forecasting
Combine different forecasting approaches
Skills you'll gain
This course includes:
2.5 Hours PreRecorded video
16 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Closed caption
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course teaches regression modeling techniques for business forecasting using Excel. Students learn to develop and evaluate various regression models including simple, multiple, dummy variable, and seasonal regressions. The curriculum covers model creation, diagnostic testing, and practical application for business forecasting, with hands-on exercises using Excel tools.
Welcome and Critical Information
Module 1 · 47 Minutes to complete
Regression Models
Module 2 · 2 Hours to complete
Multiple Variable Regression
Module 3 · 2 Hours to complete
Dummy Variable Regression
Module 4 · 1 Hours to complete
Seasonal Dummy Regression
Module 5 · 2 Hours to complete
Fee Structure
Instructor
Inspirational Lecturer in Commerce and Business Analytics with a Focus on Student Engagement
Dr. Prashan Karunaratne is an innovative lecturer in commerce, economics, and business analytics at Macquarie University, renowned for his catchphrase, #EveryoneSayWow. He is the course developer and instructor of the acclaimed Excel Skills for Business course, which received the Coursera Outstanding Educator Award for Student Transformation in 2018. Prashan has earned several teaching accolades, including the 2019 Outstanding Contribution to Student Learning award at the Australian Awards for University Teaching, recognizing his excellence in engaging and empowering students. In 2020, he was honored with the inaugural Australian Business Deans Council Award for Innovation and Excellence in Teaching and Learning. Prashan holds a PhD in Management – Learning & Teaching from Macquarie University and is the Course Director of the Bachelor of Commerce, the largest degree program at the university.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.9 course rating
96 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.