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Excel Time Series Models for Business Forecasting

Approx. 11 hours to complete

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Course Summary

Learn how to use Excel for business forecasting and time series analysis in this comprehensive course. Gain practical skills and insights to make informed decisions and drive business success.

Key Learning Points

Learn to use Excel for time series forecasting and analysis
Apply forecasting techniques to real-world business problems
Develop skills to make informed decisions and drive business success

Job Positions & Salaries of people who have taken this course might have

- USA: $60,000 - $110,000
- India: ₹350,000 - ₹1,200,000
- Spain: €25,000 - €50,000
- USA: $60,000 - $110,000
- India: ₹350,000 - ₹1,200,000
- Spain: €25,000 - €50,000
- USA: $50,000 - $95,000
- India: ₹300,000 - ₹1,000,000
- Spain: €22,000 - €45,000
- USA: $60,000 - $110,000
- India: ₹350,000 - ₹1,200,000
- Spain: €25,000 - €50,000
- USA: $50,000 - $95,000
- India: ₹300,000 - ₹1,000,000
- Spain: €22,000 - €45,000
- USA: $70,000 - $125,000
- India: ₹450,000 - ₹1,500,000
- Spain: €30,000 - €60,000

Learning Outcomes

Apply forecasting techniques to real-world business problems
Use Excel to analyze and interpret time series data
Make informed decisions based on data insights

Prerequisites or good to have knowledge before taking this course

Basic knowledge of Excel
Familiarity with statistical concepts

Course Difficulty Level

Intermediate

Course Format

Online self-paced
Video lectures
Hands-on exercises
Quizzes and assessments

Similar Courses

Data Visualization with Excel
Excel Skills for Business: Essentials
Data Analysis with Excel

Related Education Paths

Notable People in This Field

Nate Silver
Edward Tufte

Related Books

Description

This course explores different time series business forecasting methods. The course covers a variety of business forecasting methods for different types of components present in time series data — level, trending, and seasonal. We will learn about the theoretical methods and apply these methods to business data using Microsoft Excel. These forecasting methods will be programmed into Microsoft Excel, displayed graphically, and we will optimise these models to produce accurate forecasts. We will compare different models and their forecasts to decide which model best suits our business' needs.

Outline

Welcome and Critical Information
Course introduction
Welcome to Excel Time Series Models for Business Forecasting
Course goals and weekly learning objectives
Important information about versions and regions

Time Series Models
Time Series Models
Components of Time Series Data
Average Forecasts
Errors and Error Criterion
Read me before you start: Quizzes and Navigation
Download the Week 1 workbooks
Week 1 Toolbox
Week 1 Practice Challenge
Components of Time Series Data
Average Forecasts
Errors and Error Criterion

Level Time Series
Level Time Series
Naïve Forecasts
Moving Average Forecasts
Simple Exponential Smoothing
Solver for SES Forecasting
Download the Week 2 workbooks
Week 2 Toolbox
Naïve Forecasts
Moving Average Forecasts
Simple Exponential Smoothing
Solver for SES Forecasting
Assessment — weeks 1 and 2

Trending Time Series
Trending Time Series
Trend-fitting
Holt's Exponential Smoothing
Solver for HES Forecasting
Download the Week 3 workbooks
Week 3 Toolbox
Week 3 Practice Challenge
Trend-fitting
Holt's Exponential Smoothing
Solver for HES Forecasting

Seasonal Time Series
Seasonal Time Series
Winters Exponential Smoothing — Seeds
Winters Exponential Smoothing — Forecasts
Solver for WES Forecasts
Download the Week 4 workbooks
Week 4 Toolbox
Winters Exponential Smoothing — Seeds
Winters Exponential Smoothing — Forecasts
Solver for WES Forecasts
Assessment — weeks 3 and 4

Decomposition
Decomposition
Decomposition — De-seasonalising
Decomposition — De-trending and Forecasting
Autocorrelation Functions for Testing our Components
Download the Week 5 workbooks
Week 5 Toolbox
Decomposition — De-seasonalising
Decomposition — De-trending and Forecasting
Autocorrelation Functions for Testing our Components
Final assessment — all course content

Summary of User Reviews

Discover how to use Excel for business forecasting and time series analysis in this highly-rated course on Coursera. Students have praised the course for its practicality and real-world application, making it a great resource for professionals looking to improve their forecasting skills.

Key Aspect Users Liked About This Course

Many users have praised the practicality and real-world application of the course content.

Pros from User Reviews

The course is well-structured and easy to follow.
The instructors are knowledgeable and engaging.
The course provides a good balance of theory and practical exercises.
The course covers a wide range of forecasting techniques and models.
The course includes plenty of examples and case studies to help students understand the material.

Cons from User Reviews

Some users have found the course content to be too basic for their needs.
The course may not be suitable for advanced users who are already familiar with forecasting techniques.
Some users have experienced technical difficulties with the course platform.
The course may require a significant time commitment to complete.
The course does not provide much opportunity for interaction with other students.

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