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Freedom Learning Group

We consume forecasted data regularly in our personal and business lives, covering everything from the weather to projected investment returns. At work we use forecasted data for a multitude of purposes including developing strategies, budgets, and to provide the right amount of resources to meet demand. In this course, you will get your feet wet with statistical forecasting by designing, creating, and interpreting a growth forecast. You will do this as we work side-by-side in the free-to-use software Google Sheets.

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We consume forecasted data regularly in our personal and business lives, covering everything from the weather to projected investment returns. At work we use forecasted data for a multitude of purposes including developing strategies, budgets, and to provide the right amount of resources to meet demand. In this course, you will get your feet wet with statistical forecasting by designing, creating, and interpreting a growth forecast. 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 in your workplace and be able to confidently conduct a growth forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted projections.

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.

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What's inside

Syllabus

Project Results by Forecasting Growth in Google Sheets
By the end of this course, you will understand use cases for conducting forecasts in your workplace and be able to confidently conduct a growth forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted projections.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Course teaches the concrete skill of conducting a growth forecast
Learners get hands-on experience using Google Sheets, making it practical
Taught by an experienced instructor who leads the learner through the entire process

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Reviews summary

Google sheets forecasting techniques

Learners say this is a good course for getting started with forecasting using Google Sheets. Instructors are good but the split-screen feature leaves something to be desired.
Introductory course for beginners.
"A good course to begin with forecasting tool"
Split-screen feature is not ideal.
"The course is good, instructor is good too but the split-screen feature is a terrible idea."

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 Statistical Forecasting Techniques in Google Sheets with these activities:
Review Linear Algebra
Strengthen your understanding of linear equations and systems of equations to prepare for the course's emphasis on forecasting models.
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Show steps
  • Review basic vector and matrix operations.
  • Practice solving systems of linear equations using Gaussian elimination.
  • Explore concepts of linear independence, span, and basis.
Data Analysis Drills
Develop proficiency in data analysis techniques such as regression analysis, time series analysis, and hypothesis testing.
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Show steps
  • Solve practice problems on data visualization and interpretation.
  • Conduct hypothesis tests using both parametric and non-parametric methods.
  • Apply regression techniques to real-world datasets.
Advanced Google Sheets Techniques
Enhance your proficiency in using Google Sheets for data analysis and forecasting by exploring advanced functions and features.
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Show steps
  • Follow online tutorials on using pivot tables, charts, and macros.
  • Practice creating interactive dashboards and reports.
  • Learn advanced functions for data manipulation and automation.
Three other activities
Expand to see all activities and additional details
Show all six activities
Forecasting Discussion Group
Collaborate with classmates to discuss forecasting concepts, share insights, and provide feedback on each other's work.
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Show steps
  • Join or create a study group.
  • Prepare discussion topics and questions.
  • Actively participate in group discussions and share your perspectives.
Forecasting Case Study
Reinforce your understanding of forecasting concepts by developing a growth forecast for a real-world business scenario.
Browse courses on Forecasting
Show steps
  • Identify a business problem that requires forecasting.
  • Collect and analyze relevant data.
  • Select and apply appropriate forecasting techniques.
  • Present your forecasting results and recommendations.
Forecasting Workshop
Attend an in-person or virtual workshop conducted by industry experts to gain hands-on experience with forecasting techniques and tools.
Browse courses on Forecasting
Show steps
  • Research and identify relevant workshops.
  • Register and prepare for the workshop.
  • Actively participate in the workshop sessions.

Career center

Learners who complete Statistical Forecasting Techniques in Google Sheets will develop knowledge and skills that may be useful to these careers:
Market Research Analyst
Market Research Analysts collect, analyze, and interpret market data to help businesses make informed decisions. A course on Statistical Forecasting Techniques can help Market Research Analysts build a foundation in this field by providing them with the skills to collect, analyze, and interpret data to create accurate growth forecasts. This can be a valuable asset for Market Research Analysts, as it can help them to develop more accurate forecasts, which can lead to better business decisions.
Business Analyst
Business Analysts use data to help businesses make informed decisions. A course on Statistical Forecasting Techniques may be useful for Business Analysts by providing them with the skills to collect, analyze, and interpret data to create accurate growth forecasts. This can be a valuable asset for Business Analysts, as it can help them to develop more accurate forecasts, which can lead to better business decisions.
Financial Analyst
Financial Analysts create financial models to help businesses make informed decisions. A course on Statistical Forecasting Techniques may be useful for Financial Analysts by providing them with the skills to collect, analyze, and interpret data to create accurate growth forecasts. This can be a valuable asset for Financial Analysts, as it can help them to develop more accurate financial models, which can lead to better business decisions.
Data Analyst
Data Analysts use data to solve business problems. A course on Statistical Forecasting Techniques may be useful for Data Analysts by providing them with the skills to collect, analyze, and interpret data to create accurate growth forecasts. This can be a valuable asset for Data Analysts, as it can help them to develop more accurate forecasts, which can lead to better business decisions.
Supply Chain Manager
Supply Chain Managers oversee the flow of goods and services from suppliers to customers. A course on Statistical Forecasting Techniques may be useful for Supply Chain Managers by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future demand. This can be a valuable asset for Supply Chain Managers, as it can help them to develop more accurate demand forecasts, which can lead to better supply chain planning.
Project Manager
Project Managers plan and execute projects to meet specific goals. A course on Statistical Forecasting Techniques may be useful for Project Managers by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of project timelines and costs. This can be a valuable asset for Project Managers, as it can help them to develop more accurate project forecasts, which can lead to better project planning and execution.
Sales Manager
Sales Managers develop and implement sales strategies to help businesses achieve their sales goals. A course on Statistical Forecasting Techniques may be useful for Sales Managers by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future sales. This can be a valuable asset for Sales Managers, as it can help them to develop more accurate sales forecasts, which can lead to better sales strategies.
Product Manager
Product Managers develop and manage products to meet the needs of customers. A course on Statistical Forecasting Techniques may be useful for Product Managers by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future product demand. This can be a valuable asset for Product Managers, as it can help them to develop more accurate product demand forecasts, which can lead to better product development.
Operations Manager
Operations Managers oversee the daily operations of a business. A course on Statistical Forecasting Techniques may be useful for Operations Managers by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future production levels and demand. This can be a valuable asset for Operations Managers, as it can help them to develop more accurate production forecasts, which can lead to better operations planning.
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. A course on Statistical Forecasting Techniques may be useful for Consultants by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future market trends. This can be a valuable asset for Consultants, as it can help them to provide more accurate advice and guidance to their clients.
Marketing Manager
Marketing Managers develop and implement marketing campaigns to help businesses achieve their marketing goals. A course on Statistical Forecasting Techniques may be useful for Marketing Managers by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future marketing campaign performance. This can be a valuable asset for Marketing Managers, as it can help them to develop more accurate marketing campaign forecasts, which can lead to better marketing campaigns.
Software Engineer
Software Engineers design, develop, and maintain software applications. A course on Statistical Forecasting Techniques may be useful for Software Engineers by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future software performance. This can be a valuable asset for Software Engineers, as it can help them to develop more accurate software performance forecasts, which can lead to better software development.
Statistician
Statisticians collect, analyze, and interpret data to provide insights into various topics. A course on Statistical Forecasting Techniques may be useful for Statisticians by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future events. This can be a valuable asset for Statisticians, as it can help them to develop more accurate forecasts, which can lead to better insights.
Entrepreneur
Entrepreneurs start and operate their own businesses. A course on Statistical Forecasting Techniques may be useful for Entrepreneurs by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future market demand. This can be a valuable asset for Entrepreneurs, as it can help them to make more informed decisions about their businesses.
Data Scientist
Data Scientists use data to solve complex problems. A course on Statistical Forecasting Techniques may be useful for Data Scientists by providing them with the skills to collect, analyze, and interpret data to create accurate forecasts of future events. This can be a valuable asset for Data Scientists, as it can help them to develop more accurate forecasts, which can lead to better solutions to complex problems.

Reading list

We've selected 11 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 Statistical Forecasting Techniques in Google Sheets.
Is an in-depth treatment of statistical forecasting, providing both the theoretical foundations and practical guidance for forecasting in various domains. It valuable resource for learners seeking a comprehensive understanding of forecasting techniques.
Offers a comprehensive introduction to statistical learning, covering a wide range of techniques and their applications. It provides a solid foundation for understanding statistical forecasting methods and helpful reference for practitioners.
Explores advanced forecasting techniques, including dynamic regression models. It provides a theoretical framework and practical guidance for building and evaluating sophisticated forecasting models.
Focuses on statistical models for analyzing and forecasting time series data. It emphasizes practical applications and provides detailed examples using the R software.
This textbook offers a concise and accessible introduction to time series analysis and forecasting. It covers fundamental concepts and techniques, providing a solid foundation for learners new to the field.
Focuses on using the R software for time series analysis and forecasting. It provides a practical guide to implementing various techniques, making it especially valuable for learners familiar with R.
Offers a comprehensive treatment of time series forecasting methods, covering both classical and modern techniques. It provides a theoretical foundation and practical guidance for forecasting in various applications.
Provides a comprehensive overview of time series analysis, covering both theoretical and practical aspects. It includes numerous examples and case studies, making it a useful reference for learners and practitioners.
Focuses specifically on time series forecasting using Python. It provides practical guidance on implementing various techniques and includes case studies and code examples.
This handbook provides a comprehensive overview of advanced topics in time series analysis. It covers a wide range of techniques and applications, making it a valuable resource for researchers and practitioners.

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