You're looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, and many other parts of the business., right?
You've found the right Marketing Analytics: Forecasting Models with Excel. This course teaches you everything you need to know about different forecasting models and how to implement these models for devising forecasting analytics in Excel using advanced excel tool.
After completing this course you will be able to:
Read more
You're looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, and many other parts of the business., right?
You've found the right Marketing Analytics: Forecasting Models with Excel. This course teaches you everything you need to know about different forecasting models and how to implement these models for devising forecasting analytics in Excel using advanced excel tool.
After completing this course you will be able to:
You're looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, and many other parts of the business., right?
You've found the right Marketing Analytics: Forecasting Models with Excel. This course teaches you everything you need to know about different forecasting models and how to implement these models for devising forecasting analytics in Excel using advanced excel tool.
After completing this course you will be able to:
Implement forecasting analytics and forecasting models such as simple linear, simple multiple regression, Ratio to Moving Average, Winter's method for exponential smoothing with trend and seasonality, famous Bass diffusion model and many more.
Increase revenue/profit of your firm by implementing accurate forecasting analytics using Excel solver Add-in
Confidently practice, discuss and understand different Forecasting analytics strategies and forecasting models used by organizations
Creating demand forecasting strategies using forecasting analytics techniques and various forecasting models.
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Forecasting Models with Excel course.
If you are a business manager or an executive, or a student who wants to learn and apply forecasting analytics and forecasting models in real world problems of business, this course will give you a solid base by teaching you the most popular forecasting models and how to implement it for effective demand forecasting and for devising forecasting analytics techniques.
Why should you choose this course?
We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts on forecasting analytics, demand forecasting, forecasting models through how-to examples. Each section has the following components:
Theoretical concepts and use cases of different forecasting models and forecasting analytics techniques
Step-by-step instructions on implement forecasting models and forecasting analytics techniques in excel for demand forecasting
Downloadable Excel file containing data and solutions used in each lecture on forecasting models and forecasting analytics
Class notes and assignments to revise and practice the concepts on demand forecasting, forecasting models and forecasting analytics techniques
The practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this course
We are also the creators of some of the most popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will explore how one can use forecasting models to
See patterns in time series data
Make forecasts based on models
Let me give you a brief overview of the course
Section 1 - Introduction
In this section we will learn about the course structure
Section 2 - Basics of Forecasting
In this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in Excel
Section 3 - Getting Data Ready for Regression Model
In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.
Section 4 - Forecasting using Regression Model
This section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results.
Section 5 - Handling Special events like Holiday sales
In this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.
Section 6 - Identifying Seasonality & Trend for Forecasting
In this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.
Section 7 - Handling Changing Trend & Seasonality over time
In this section we will learn about Winter’s Method that changes trend and seasonal index estimates during each period has a better chance of keeping up with changes than other methods.
Section 8 - Forecasting models for New Products
In this section we will learn techniques to forecast new product sales. It is difficult to forecast when we have little or no historical data. The S curve can be used when we have little data and the famous bass diffusion model can be used to predict product sales even before the product is launched in the market.
Some of the examples in this course are from the book Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]. We suggest this book as reading material for anyone aspiring to be a marketing analyst.
I am pretty confident that the course will give you the necessary knowledge and skills related to forecasting analytics, forecasting models and demand forecasting strategies; to immediately see practical benefits in your work place.
Go ahead and click the enroll button, and I'll see you in lesson 1 of this course on forecasting analytics and forecasting models.
Cheers
Start-Tech Academy
Here's a deal for you
UDEAFNULP2024
What's inside
Learning objectives
- Become proficient in using powerful tools such as excel solver to create forecasting models
- Learn about two of the most used forecasting tools: simple linear and simple multiple regression
- Learn how to estimate the trend and seasonal aspects of sales
- Learn to generate forecasts using the ratio to moving average forecasting method
- Forecast using dynamic trend and seasonal index using winter's method
- Learn forecasting for new product launch with little or no history about sales of a product
- Learn how to use s curves to forecast sales of a new product
- Learn how to forecast product sales even before the product comes to market using popular the bass diffusion model
- Indepth knowledge of data collection and data preprocessing for linear regression problem
- Understand how to interpret the result of linear regression model and translate them into actionable insight
- Become proficient in using powerful tools such as excel solver to create forecasting models
- Learn about two of the most used forecasting tools: simple linear and simple multiple regression
- Learn how to estimate the trend and seasonal aspects of sales
- Learn to generate forecasts using the ratio to moving average forecasting method
- Forecast using dynamic trend and seasonal index using winter's method
- Learn forecasting for new product launch with little or no history about sales of a product
- Learn how to use s curves to forecast sales of a new product
- Learn how to forecast product sales even before the product comes to market using popular the bass diffusion model
- Indepth knowledge of data collection and data preprocessing for linear regression problem
- Understand how to interpret the result of linear regression model and translate them into actionable insight
Syllabus
Introduction
In this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in Excel
Read more
Syllabus
The example in this lecture is from Marketing Analytics: Data-Driven Techniques with Microsoft Excel [Winston, Wayne L.]
Good to know
Save this course
Save
Reviews summary
Excel forecasting course
Students say this is a good course.
Activities
Review Basic Statistics
Show steps
Ensure a solid foundation in statistics to support your learning in this course. Review basic statistical concepts, such as mean, median, standard deviation, and correlation.
Browse courses on
Statistics
Show steps
-
Review lecture notes, textbooks, or online resources on basic statistics.
-
Solve practice problems to test your understanding of the concepts.
Read 'Marketing Analytics: Data-Driven Techniques with Microsoft Excel'
Show steps
Supplement your learning by reading a book that covers forecasting analytics, forecasting models, and demand forecasting strategies. This will provide you with a deeper understanding of the concepts taught in the course.
View
Marketing Analytics: Data-Driven Techniques...
on Amazon
Show steps
-
Obtain a copy of the book, either physically or digitally.
-
Allocate dedicated time for reading.
-
Take notes and highlight key concepts as you read.
-
Use the book as a reference guide for your forecasting projects.
Follow Excel Tutorials on Forecasting
Show steps
Enhance your understanding of forecasting concepts and techniques by following guided tutorials that provide step-by-step instructions and practical examples.
Browse courses on
Forecasting
Show steps
-
Identify reputable online resources or platforms that offer Excel tutorials on forecasting.
-
Choose a tutorial that aligns with your skill level and learning goals.
-
Follow the instructions and complete the exercises provided in the tutorial.
-
Apply the learned techniques to your own forecasting projects.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a Forecasting Dashboard in Excel
Show steps
Create a visually appealing and interactive dashboard in Excel to track and analyze your forecasts. This will help you monitor the performance of your forecasts and make informed decisions.
Browse courses on
Forecasting Models
Show steps
-
Gather the necessary data and prepare it for analysis.
-
Create charts and graphs to visualize the data and forecasts.
-
Add interactive elements, such as slicers and filters, to enable users to explore the data and forecasts.
-
Design the dashboard layout and ensure it is user-friendly.
Practice Forecasting using Past Sales Data
Show steps
Practice using the forecasting models learned in the course by applying them to real-world sales data. This will help you develop proficiency in using Excel's tools and techniques for forecasting.
Browse courses on
Forecasting Models
Show steps
-
Select a product or service for which you have historical sales data.
-
Create a scatter plot of the historical sales data.
-
Fit a simple linear regression model to the data.
-
Use the model to forecast future sales.
-
Evaluate the accuracy of the forecast.
Join a Forecasting Study Group
Show steps
Connect with other learners in a study group to discuss course concepts, share knowledge, and collaborate on projects. This will enhance your understanding of forecasting and provide support from peers.
Browse courses on
Forecasting Models
Show steps
-
Identify or create a study group with other participants in the course.
-
Schedule regular meetings to discuss course material, assignments, and projects.
-
Take turns leading discussions and presenting findings.
-
Provide constructive feedback to each other's work.
Forecast Sales for a New Product Launch
Show steps
Apply your forecasting skills to a real-world project by forecasting sales for a new product launch. This will challenge you to apply the models and techniques learned in the course to a practical business scenario.
Show steps
-
Identify a new product that is about to be launched or has recently been launched.
-
Gather data on historical sales of similar products or market research data.
-
Select appropriate forecasting models, such as the Bass diffusion model.
-
Develop a forecast for the sales of the new product.
-
Present your forecast to stakeholders and discuss the implications for marketing and sales strategies.
Develop a Forecasting Model for a Business Case
Show steps
Apply your forecasting knowledge to a real business case by developing a comprehensive forecasting model. This will demonstrate your ability to use forecasting techniques to solve practical business problems.
Browse courses on
Forecasting Models
Show steps
-
Identify a business problem that can be addressed through forecasting.
-
Gather and analyze relevant data.
-
Develop and validate a forecasting model.
-
Create a detailed report that documents your findings and recommendations.
Review Basic Statistics
Show steps
Ensure a solid foundation in statistics to support your learning in this course. Review basic statistical concepts, such as mean, median, standard deviation, and correlation.
Browse courses on
Statistics
Show steps
- Review lecture notes, textbooks, or online resources on basic statistics.
- Solve practice problems to test your understanding of the concepts.
Read 'Marketing Analytics: Data-Driven Techniques with Microsoft Excel'
Show steps
Supplement your learning by reading a book that covers forecasting analytics, forecasting models, and demand forecasting strategies. This will provide you with a deeper understanding of the concepts taught in the course.
View
Marketing Analytics: Data-Driven Techniques...
on Amazon
Show steps
- Obtain a copy of the book, either physically or digitally.
- Allocate dedicated time for reading.
- Take notes and highlight key concepts as you read.
- Use the book as a reference guide for your forecasting projects.
Follow Excel Tutorials on Forecasting
Show steps
Enhance your understanding of forecasting concepts and techniques by following guided tutorials that provide step-by-step instructions and practical examples.
Browse courses on
Forecasting
Show steps
- Identify reputable online resources or platforms that offer Excel tutorials on forecasting.
- Choose a tutorial that aligns with your skill level and learning goals.
- Follow the instructions and complete the exercises provided in the tutorial.
- Apply the learned techniques to your own forecasting projects.
Create a Forecasting Dashboard in Excel
Show steps
Create a visually appealing and interactive dashboard in Excel to track and analyze your forecasts. This will help you monitor the performance of your forecasts and make informed decisions.
Browse courses on
Forecasting Models
Show steps
- Gather the necessary data and prepare it for analysis.
- Create charts and graphs to visualize the data and forecasts.
- Add interactive elements, such as slicers and filters, to enable users to explore the data and forecasts.
- Design the dashboard layout and ensure it is user-friendly.
Practice Forecasting using Past Sales Data
Show steps
Practice using the forecasting models learned in the course by applying them to real-world sales data. This will help you develop proficiency in using Excel's tools and techniques for forecasting.
Browse courses on
Forecasting Models
Show steps
- Select a product or service for which you have historical sales data.
- Create a scatter plot of the historical sales data.
- Fit a simple linear regression model to the data.
- Use the model to forecast future sales.
- Evaluate the accuracy of the forecast.
Join a Forecasting Study Group
Show steps
Connect with other learners in a study group to discuss course concepts, share knowledge, and collaborate on projects. This will enhance your understanding of forecasting and provide support from peers.
Browse courses on
Forecasting Models
Show steps
- Identify or create a study group with other participants in the course.
- Schedule regular meetings to discuss course material, assignments, and projects.
- Take turns leading discussions and presenting findings.
- Provide constructive feedback to each other's work.
Forecast Sales for a New Product Launch
Show steps
Apply your forecasting skills to a real-world project by forecasting sales for a new product launch. This will challenge you to apply the models and techniques learned in the course to a practical business scenario.
Show steps
- Identify a new product that is about to be launched or has recently been launched.
- Gather data on historical sales of similar products or market research data.
- Select appropriate forecasting models, such as the Bass diffusion model.
- Develop a forecast for the sales of the new product.
- Present your forecast to stakeholders and discuss the implications for marketing and sales strategies.
Develop a Forecasting Model for a Business Case
Show steps
Apply your forecasting knowledge to a real business case by developing a comprehensive forecasting model. This will demonstrate your ability to use forecasting techniques to solve practical business problems.
Browse courses on
Forecasting Models
Show steps
- Identify a business problem that can be addressed through forecasting.
- Gather and analyze relevant data.
- Develop and validate a forecasting model.
- Create a detailed report that documents your findings and recommendations.
Career center
Marketing Manager
Market Research Analyst
Data Analyst
Business Analyst
Financial Analyst
Operations Research Analyst
Management Consultant
Product Manager
Brand Manager
Marketing Specialist
Sales Manager
Account Manager
Business Development Manager
Customer Success Manager
Technical Writer
Reading list
Save
Save
Save
Save
Share
Similar courses
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
