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Tricia Bagley
Sales projections are a powerful tool to aid in meeting demand, allocation of resources, and driving growth for the future. Forecasting techniques can be applied to make realistic predictions of outcomes of everything from sales volume to likelihood of cold...
Read more
Sales projections are a powerful tool to aid in meeting demand, allocation of resources, and driving growth for the future. Forecasting techniques can be applied to make realistic predictions of outcomes of everything from sales volume to likelihood of cold...
Read more
Sales projections are a powerful tool to aid in meeting demand, allocation of resources, and driving growth for the future. Forecasting techniques can be applied to make realistic predictions of outcomes of everything from sales volume to likelihood of cold-call success given the time of the year. Other than goods that are considered, “basic necessities,” most sales data demonstrate trends based on the season—or period of time—in which they occur. There are a multitude of statistical methods that can enhance forecasting by including the factor of seasonality. This course will introduce you to making sales projections with a multiplicative seasonal model.
In this course, we will review the principles of forecasting, consider use cases for forecasting with seasonality, build the seasonal index from the ground up, run a forecast with and without seasonality on sales data, and consider the next steps that could be taken with our seasonal forecast. Along the way, you will visualize the data and understand how forecasting with seasonality works. You will do this as we work side-by-side in the free-to-use software Google Sheets.
By the end of this course, you will understand use cases for conducting forecasts with seasonality in your workplace and be able to confidently apply seasonality in any spreadsheet software.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/rxd27l/conduct
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possible dealbreakers
Explores forecasting techniques for enhancing sales projections
Builds a foundation in forecasting for beginners
Applicable for learners seeking tools for data-driven decision-making
Emphasizes the practical application of seasonal forecasting in sales
Taught by industry experts, ensuring the relevance of content to current practices
Leverages Google Sheets, a widely accessible software
Save this course
Save Conduct Sales Projections with Seasonality in Google Sheets to your list so you can find it easily later:
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Reviews summary
Seasonality in sales projections
This course provides a solid introduction to creating sales projections with seasonality in Google Sheets. It covers the basics of forecasting, use cases for seasonality, and how to build a seasonal index. The course is taught in a clear and concise manner, and the use of Google Sheets makes it easy to follow along. Overall, this course is a valuable resource for anyone who wants to learn how to create sales projections with seasonality.
Course is easy to follow and understand.
"...taught in a clear and concise manner..."
Google Sheets is used for instruction.
"...use of Google Sheets makes it easy to follow along."
Provides use cases for seasonality.
"...covers the basics...use cases for seasonality..."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Conduct Sales Projections with Seasonality in Google Sheets with these
activities:
Attend industry conferences or meetups
Show steps
Connect with professionals in the field and stay abreast of industry trends in forecasting.
Show steps
-
Research and identify relevant industry events.
-
Attend sessions and engage in discussions with speakers and attendees.
Read "Demand Forecasting: A Practical Approach"
Show steps
Gain a comprehensive understanding of forecasting principles and best practices from an industry expert.
View
Melania
on Amazon
Show steps
-
Read and summarize key chapters of the book.
-
Apply the concepts discussed in the book to your own forecasting projects.
Review advanced statistical methods
Show steps
Brush up on advanced statistical methods to strengthen your foundation for understanding forecasting techniques.
Browse courses on
Time Series Analysis
Show steps
-
Review concepts of time series analysis.
-
Practice applying econometric models to real-world data.
-
Explore factor analysis techniques to identify underlying patterns in data.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Join a forecasting study group
Show steps
Collaborate with peers to discuss forecasting concepts, share insights, and learn from each other.
Show steps
-
Find or create a study group with fellow students or colleagues.
-
Meet regularly to discuss course material, case studies, and forecasting best practices.
Discuss seasonal forecasting with peers
Show steps
Enhance understanding and gain different perspectives on applying seasonal models in forecasting.
Show steps
-
Identify peers who are also taking the course or have experience with seasonal forecasting.
-
Schedule a session to discuss the concepts, challenges, and best practices of seasonal forecasting.
-
Share insights, ask questions, and learn from each other's experiences.
Practice creating seasonal indices
Show steps
Improve understanding of how to calculate seasonal indices and apply them to sales forecasting models.
Browse courses on
Seasonality
Show steps
-
Gather historical sales data that demonstrates seasonality.
-
Calculate the average sales for each period (e.g., month, quarter).
-
Divide the actual sales for each period by the average sales.
-
Plot the seasonal indices to observe patterns. Adjust as necessary.
Solve forecast modeling exercises
Show steps
Engage in hands-on practice to solidify your understanding of forecast model building.
Show steps
-
Use Google Sheets or Excel to build sales forecast models.
-
Experiment with different forecasting techniques on real-world sales data.
Forecast sales using a seasonal model
Show steps
Reinforce the process of building a sales forecast that incorporates seasonality, improving accuracy and decision-making.
Browse courses on
Sales Forecasting
Show steps
-
Select historical data that exhibits seasonality.
-
Calculate seasonal indices.
-
Multiply the seasonal indices by base sales to forecast future sales.
Explore advanced techniques for seasonal forecasting
Show steps
Expand knowledge and refine skills in seasonal forecasting by learning advanced techniques and best practices.
Browse courses on
Sales Forecasting
Show steps
-
Identify online tutorials or resources that cover advanced seasonal forecasting techniques.
-
Follow the tutorials, taking notes and practicing the methods.
-
Apply the techniques to real-world datasets to test and improve understanding.
Explore advanced forecasting methods
Show steps
Expand your knowledge of forecasting techniques beyond the basics covered in the course.
Show steps
-
Research advanced forecasting methodologies such as machine learning and ensemble models.
-
Follow online tutorials or attend workshops to gain practical skills in these techniques.
Contribute to open-source forecasting projects
Show steps
Deepen your understanding of forecasting algorithms and contribute to the community.
Show steps
-
Identify open-source forecasting libraries or projects on platforms like GitHub.
-
Review the codebase and identify areas where you can make contributions.
-
Submit pull requests with your improvements or new features.
Develop a sales forecasting dashboard
Show steps
Apply your forecasting skills to create a valuable tool for decision-making and performance monitoring.
Show steps
-
Design a dashboard that visualizes key sales metrics and forecasts.
-
Integrate the dashboard into your organization's reporting system.
Attend industry conferences or meetups
Show steps
Connect with professionals in the field and stay abreast of industry trends in forecasting.
Show steps
Show steps
Show steps
- Research and identify relevant industry events.
- Attend sessions and engage in discussions with speakers and attendees.
Read "Demand Forecasting: A Practical Approach"
Show steps
Gain a comprehensive understanding of forecasting principles and best practices from an industry expert.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read and summarize key chapters of the book.
- Apply the concepts discussed in the book to your own forecasting projects.
Review advanced statistical methods
Show steps
Brush up on advanced statistical methods to strengthen your foundation for understanding forecasting techniques.
Browse courses on
Time Series Analysis
Show steps
Show steps
Show steps
- Review concepts of time series analysis.
- Practice applying econometric models to real-world data.
- Explore factor analysis techniques to identify underlying patterns in data.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Join a forecasting study group
Show steps
Collaborate with peers to discuss forecasting concepts, share insights, and learn from each other.
Show steps
Show steps
Show steps
- Find or create a study group with fellow students or colleagues.
- Meet regularly to discuss course material, case studies, and forecasting best practices.
Discuss seasonal forecasting with peers
Show steps
Enhance understanding and gain different perspectives on applying seasonal models in forecasting.
Show steps
Show steps
Show steps
- Identify peers who are also taking the course or have experience with seasonal forecasting.
- Schedule a session to discuss the concepts, challenges, and best practices of seasonal forecasting.
- Share insights, ask questions, and learn from each other's experiences.
Practice creating seasonal indices
Show steps
Improve understanding of how to calculate seasonal indices and apply them to sales forecasting models.
Browse courses on
Seasonality
Show steps
Show steps
Show steps
- Gather historical sales data that demonstrates seasonality.
- Calculate the average sales for each period (e.g., month, quarter).
- Divide the actual sales for each period by the average sales.
- Plot the seasonal indices to observe patterns. Adjust as necessary.
Solve forecast modeling exercises
Show steps
Engage in hands-on practice to solidify your understanding of forecast model building.
Show steps
Show steps
Show steps
- Use Google Sheets or Excel to build sales forecast models.
- Experiment with different forecasting techniques on real-world sales data.
Forecast sales using a seasonal model
Show steps
Reinforce the process of building a sales forecast that incorporates seasonality, improving accuracy and decision-making.
Browse courses on
Sales Forecasting
Show steps
Show steps
Show steps
- Select historical data that exhibits seasonality.
- Calculate seasonal indices.
- Multiply the seasonal indices by base sales to forecast future sales.
Explore advanced techniques for seasonal forecasting
Show steps
Expand knowledge and refine skills in seasonal forecasting by learning advanced techniques and best practices.
Browse courses on
Sales Forecasting
Show steps
Show steps
Show steps
- Identify online tutorials or resources that cover advanced seasonal forecasting techniques.
- Follow the tutorials, taking notes and practicing the methods.
- Apply the techniques to real-world datasets to test and improve understanding.
Explore advanced forecasting methods
Show steps
Expand your knowledge of forecasting techniques beyond the basics covered in the course.
Show steps
Show steps
Show steps
- Research advanced forecasting methodologies such as machine learning and ensemble models.
- Follow online tutorials or attend workshops to gain practical skills in these techniques.
Contribute to open-source forecasting projects
Show steps
Deepen your understanding of forecasting algorithms and contribute to the community.
Show steps
Show steps
Show steps
- Identify open-source forecasting libraries or projects on platforms like GitHub.
- Review the codebase and identify areas where you can make contributions.
- Submit pull requests with your improvements or new features.
Develop a sales forecasting dashboard
Show steps
Apply your forecasting skills to create a valuable tool for decision-making and performance monitoring.
Show steps
Show steps
Show steps
- Design a dashboard that visualizes key sales metrics and forecasts.
- Integrate the dashboard into your organization's reporting system.
Career center
Learners who complete Conduct Sales Projections with Seasonality in Google Sheets will develop knowledge and skills
that may be useful to these careers:
Supply Chain Manager
Supply Chain Manager
A Supply Chain Manager is responsible for managing the flow of goods and services from suppliers to customers. This course may be useful for learning how to use data to make decisions, which is an important skill for a Supply Chain Manager. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future demand for goods and services.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a sales team. This course may be useful for learning how to use data to make decisions, which is an important skill for a Sales Manager. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future sales trends.
Data Scientist
Data Scientist
A Data Scientist uses mathematical and statistical methods to analyze data. This course may be useful for learning how to collect and analyze data, which is an important skill for a Data Scientist. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future data trends.
Market Researcher
Market Researcher
A Market Researcher analyzes market data to understand consumer behavior. This course may be useful for learning how to collect and analyze data, which is an important skill for a Market Researcher. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future market trends.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course may be useful for learning how to use data to make decisions, which is an important skill for a Marketing Manager. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future marketing trends.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical methods to improve business processes. This course may be useful for learning how to use data to make recommendations, which is an important skill for an Operations Research Analyst. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future business trends.
Statistician
Statistician
A Statistician uses mathematical and statistical methods to analyze data. This course may be useful for learning how to collect and analyze data, which is an important skill for a Statistician. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future trends.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. This course may be useful for learning how to collect and analyze data, which is an important skill for a Data Analyst. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future data trends.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make recommendations for investment. This course may be useful for learning how to collect and analyze data, which is an important skill for a Financial Analyst. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future financial trends.
Product Manager
Product Manager
A Product Manager is responsible for developing and launching new products. This course may be useful for learning how to use data to make decisions, which is an important skill for a Product Manager. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future product demand.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical methods to analyze financial data. This course may be useful for learning how to use data to make recommendations, which is an important skill for a Quantitative Analyst. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future financial trends.
Actuary
Actuary
An Actuary uses mathematical and statistical methods to assess risk. This course may be useful for learning how to use data to make recommendations, which is an important skill for an Actuary. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future risks.
Financial Planner
Financial Planner
A Financial Planner helps individuals and families plan for their financial future. This course may be useful for learning how to use data to make recommendations, which is an important skill for a Financial Planner. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future financial trends.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and makes recommendations for improvement. This course may be useful for learning how to collect and analyze data, which is an important skill for a Business Analyst. Additionally, the course can help you build a foundation in forecasting, which is a valuable skill for understanding future business trends.
Consultant
Consultant
A Consultant provides advice to businesses on how to improve their operations. This course may be useful for learning how to use data to make recommendations, which is an important skill for a Consultant. Additionally, the course can help you build a foundation in forecasting, which can be valuable for understanding future business trends.
For more career information including salaries, visit:
OpenCourser.com/course/rxd27l/conduct
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Conduct Sales Projections with Seasonality in Google Sheets.
Provides a comprehensive overview of forecasting methods and applications, covering topics such as time series analysis, econometrics, and causal modeling. It valuable resource for anyone who wants to learn more about these topics.
Save
Widely-used textbook on forecasting, providing a comprehensive overview of the field. It covers a wide range of topics, including time series analysis, regression analysis, and causal modeling.
Provides a comprehensive overview of time series analysis and forecasting, covering topics such as time series models, forecasting methods, and statistical inference. It valuable resource for anyone who wants to learn more about these topics.
French-language textbook on forecasting. It provides a comprehensive overview of the field, covering both the theory and practice of forecasting.
More advanced treatment of sales forecasting, covering a wide range of topics, including time series analysis, regression analysis, and causal modeling. It valuable resource for those who want to learn more about the technical aspects of sales forecasting.
Save
Provides a comprehensive overview of multivariate forecasting, covering topics such as vector autoregression, structural equation modeling, and Bayesian forecasting. It valuable resource for anyone who wants to learn more about these topics.
Provides a practical guide to judgmental forecasting, covering topics such as cognitive biases, expert elicitation, and group forecasting. It valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive overview of sales forecasting using the R programming language. It covers a wide range of topics, including data preparation, model selection, and model evaluation.
Practical guide to forecasting, providing a step-by-step approach that can be used to forecast a wide range of variables.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rxd27l/conduct
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Tricia Bagley
Good to know
Explores forecasting techniques for enhancing sales projections
Builds a foundation in forecasting for beginners
Applicable for learners seeking tools for data-driven decision-making
Emphasizes the practical application of seasonal forecasting in sales
Taught by industry experts, ensuring the relevance of content to current practices
Leverages Google Sheets, a widely accessible software
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