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Excel Time Series Models for Business Forecasting

Master time series forecasting methods in Excel to predict business trends and make data-driven decisions.

Master time series forecasting methods in Excel to predict business trends and make data-driven decisions.

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

(203 ratings)

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Excel Time Series Models for Business Forecasting

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand time series components and forecasting methods

  • Implement various forecasting models in Excel

  • Optimize forecasting models for accuracy

  • Choose appropriate models for different business scenarios

  • Analyze and interpret forecasting results

Skills you'll gain

Microsoft Excel
Time Series Models
Business Forecasting
Data Analysis
Statistical Modeling
Trend Analysis
Seasonal Analysis
Exponential Smoothing
Moving Averages
Forecasting Methods

This course includes:

2.8 Hours PreRecorded video

19 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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There are 6 modules in this course

This comprehensive course teaches advanced time series forecasting methods using Microsoft Excel. Students learn to analyze different types of time series data - level, trending, and seasonal - and apply appropriate forecasting models. The curriculum covers various methods including Naïve Forecasting, Moving Averages, Trend-fitting, Simple Exponential Smoothing, Holt's Exponential Smoothing, Winters Exponential Smoothing, and Decomposition. Through hands-on exercises, learners develop practical skills in implementing and optimizing these models in Excel.

Welcome and Critical Information

Module 1 · 47 Minutes to complete

Time Series Models

Module 2 · 2 Hours to complete

Level Time Series

Module 3 · 2 Hours to complete

Trending Time Series

Module 4 · 1 Hours to complete

Seasonal Time Series

Module 5 · 1 Hours to complete

Decomposition

Module 6 · 2 Hours to complete

Fee Structure

Instructor

Dr Prashan S. M. Karunaratne
Dr Prashan S. M. Karunaratne

4.9 rating

404 Reviews

13,49,314 Students

28 Courses

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.

Excel Time Series Models for Business Forecasting

This course includes

11 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

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

203 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.