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Freedom Learning Group

By the end of this project, you will understand use cases for conducting forecasts in your workplace and be able to confidently conduct a trend forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted trends.

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By the end of this project, you will understand use cases for conducting forecasts in your workplace and be able to confidently conduct a trend forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted trends.

There are many times when having a crystal ball might be useful and it’s natural to leverage trusted predictions of future outcomes to prepare and drive best results. Predictions come our way in the form of the forecasted data we consume regularly in our personal and business lives. This data covers everything from the weather to projected investment returns. At work we use forecasted data for a multitude of purposes including developing strategies, budgets, to provide the right amount of resources to meet demand, and to create the best customer experience possible. In this course, you will build baseline prediction skills with statistical forecasting by designing, creating, and interpreting a sales trend forecast. You will do this as we work side-by-side in the free-to-use software Google Sheets.

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

Predict Sales by Forecasting Trends 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 trend forecast in any spreadsheet software. You will also understand when it is necessary to refine a model to improve the accuracy of forecasted trends.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Helps a broad range of learners, such as spreadsheet users, business analysts, and marketing professionals, build foundational forecasting skills
Provides clear steps of how to create, interpret, and refine a sales trend forecast, which could be very useful for learners in various roles such as sales, marketing, and finance
Utilizes hands-on, practical examples in a free-to-use tool, Google Sheets, that is likely to be familiar to the learners

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Reviews summary

Imperfect google sheets forecasting course

Learners say this Google Sheets forecasting course offers limited formulas and may not be comprehensive enough for all.
The course may not offer enough practice opportunities.
"I was expecting to practice as the lecture goes on"
"the dual screen feature kept minimising my practice screen"
This course may not teach enough formulas.
"the formulas learned was limited"
"I would suggest that more details and information of the formulas used could be added"

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 Predict Sales and Forecast Trends in Google Sheets with these activities:
Review Statistical Concepts
Strengthen your foundation of statistical concepts to enhance your understanding of forecasting methods.
Browse courses on Statistics
Show steps
  • Review concepts of probability, distribution, and regression analysis.
  • Solve practice problems to reinforce your understanding.
Follow a tutorial on trend forecasting
Gain a deeper understanding of trend forecasting concepts and techniques by following a guided tutorial
Browse courses on Trend Forecasting
Show steps
  • Find a tutorial that covers the basics of trend forecasting
  • Follow the steps in the tutorial to create a trend forecast
  • Review the tutorial and make sure you understand the concepts
Practice creating trend forecasts in Google Sheets
Create trend forecasts in a real-world software environment to get more comfortable with common techniques and tools
Browse courses on Trend Forecasting
Show steps
  • Gather the necessary data and import it into Google Sheets
  • Create a scatter plot to visualize the data
  • Use the LINEST function to create a linear trendline
  • Use the FORECAST function to predict future values
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Attend a Forecasting Industry Conference
Expand your knowledge and connect with industry experts by attending a forecasting conference.
Show steps
  • Research upcoming forecasting conferences.
  • Register for a conference that aligns with your interests.
  • Attend presentations, workshops, and networking sessions.
  • Exchange ideas and learn from other professionals.
Discuss trend forecasting with a peer
Gain different perspectives and insights by discussing trend forecasting with a peer
Browse courses on Trend Forecasting
Show steps
  • Find a peer who is also interested in trend forecasting
  • Schedule a time to meet and discuss your findings
  • Take turns presenting your trend forecasts and discussing your ideas
Build a Trend Forecasting Model in Google Sheets
Practice building a trend forecasting model using Google Sheets, which is a skill covered in this course.
Browse courses on Trend Forecasting
Show steps
  • Open Google Sheets and enter sales data.
  • Create a scatter plot of the sales data.
  • Fit a trendline to the scatter plot.
  • Use the trendline equation to forecast future sales.
Create a trend forecast report
Demonstrate your understanding of trend forecasting by creating a comprehensive report that includes your findings and recommendations
Browse courses on Trend Forecasting
Show steps
  • Gather the necessary data and create a trend forecast
  • Analyze the data to identify trends and patterns
  • Write a report that includes your findings and recommendations
Learn Advanced Trend Forecasting Techniques
Enhance your forecasting skills by exploring advanced techniques introduced in this course through guided tutorials.
Browse courses on Trend Forecasting
Show steps
  • Identify different types of trend forecasting methods.
  • Select an appropriate method based on the data and forecasting horizon.
  • Apply the method using statistical software or online tools.
  • Validate and evaluate the accuracy of the forecast.
Write a Blog Post on Trend Forecasting Best Practices
Share your knowledge and insights by creating a blog post that summarizes the best practices for effective trend forecasting.
Browse courses on Trend Forecasting
Show steps
  • Research and gather information on trend forecasting best practices.
  • Outline the key points and structure your blog post.
  • Write compelling content and provide real-life examples.
  • Publish and promote your blog post.
Develop a Sales Forecasting Dashboard
Apply your forecasting skills to create a practical dashboard that visualizes and tracks sales performance data.
Browse courses on Sales Forecasting
Show steps
  • Determine the key metrics to track for sales forecasting.
  • Design the dashboard layout and select appropriate visualizations.
  • Connect the dashboard to data sources and automate updates.
  • Share the dashboard with stakeholders for decision-making.
Contribute to an Open-Source Forecasting Project
Gain practical experience and support the forecasting community by contributing to an open-source project.
Browse courses on Trend Forecasting
Show steps
  • Identify an open-source forecasting project that aligns with your interests.
  • Review the project's documentation and contribute code.
  • Collaborate with other developers and contribute to the project's growth.
  • Share your contributions with the forecasting community.
Develop a Sales Forecasting Model for a Real-World Problem
Apply your forecasting skills to solve a real-world problem and demonstrate your proficiency in the field.
Browse courses on Sales Forecasting
Show steps
  • Identify a specific business problem that requires sales forecasting.
  • Gather and analyze relevant data.
  • Develop and implement a forecasting model using appropriate techniques.
  • Validate and evaluate the accuracy of the model.
  • Present your findings and recommendations to stakeholders.

Career center

Learners who complete Predict Sales and Forecast Trends in Google Sheets will develop knowledge and skills that may be useful to these careers:
Statistician
Statisticians collect, analyze, and interpret data to understand trends and patterns. They use this information to make predictions and develop models. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Statisticians with the skills to conduct trend forecasts and use statistical models to make predictions. This course will help them to become more effective in their role and contribute to the advancement of knowledge.
Data Scientist
Data Scientists use mathematical and statistical techniques to extract knowledge from data. They use this information to develop models and make predictions. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Data Scientists with the skills to conduct trend forecasts and use data to make predictions. This course will help them to become more effective in their role and contribute to the advancement of knowledge.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They use this information to make recommendations to improve business decisions. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Data Analysts with the skills to conduct trend forecasts and use data to make data-driven decisions. This course will help them to become more effective in their role and contribute to the success of their organizations.
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models. They use these models to make predictions and decisions. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Machine Learning Engineers with the skills to conduct trend forecasts and use data to develop machine learning models. This course will help them to become more effective in their role and contribute to the development of artificial intelligence.
Business Analyst
Business Analysts identify and solve business problems by analyzing data and developing solutions. They use a variety of techniques, including statistical forecasting, to make recommendations to improve business processes. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Business Analysts with the skills to conduct trend forecasts and use data to solve business problems. This course will help them to become more effective in their role and contribute to the success of their organizations.
Market Research Analyst
Market Research Analysts collect, analyze, and interpret data to understand market trends and consumer behavior. They use this information to develop marketing strategies and campaigns. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Market Research Analysts with the skills to conduct trend forecasts and refine models to improve accuracy. This course will enable them to gather and analyze data more effectively and make better recommendations to their clients.
Operations Research Analyst
Operations Research Analysts use mathematical and statistical techniques to solve business problems. They use this information to develop and improve business processes. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Operations Research Analysts with the skills to conduct trend forecasts and use data to solve business problems. This course will help them to become more effective in their role and contribute to the success of their organizations.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They use this information to make recommendations to investment managers. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Quantitative Analysts with the skills to conduct trend forecasts and use data to make investment decisions. This course will help them to become more effective in their role and contribute to the success of their clients.
Economist
Economists study the production, distribution, and consumption of goods and services. They use a variety of techniques, including statistical forecasting, to make predictions about the economy. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Economists with the skills to conduct trend forecasts and use data to make predictions about the economy. This course will help them to become more effective in their role and contribute to the development of economic policy.
Management Consultant
Management Consultants help organizations to improve their performance. They use a variety of techniques, including statistical forecasting, to analyze data and develop recommendations. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Management Consultants with the skills to conduct trend forecasts and use data to make recommendations. This course will help them to become more effective in their role and contribute to the success of their clients.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders to gather requirements, define product specifications, and manage the product roadmap. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Product Managers with the skills to use data to make informed decisions about product development. This course will help them to become more effective in their role and contribute to the success of their products.
Actuary
Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They use this information to develop insurance and pension plans. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Actuaries with the skills to conduct trend forecasts and use data to assess risk and uncertainty. This course will help them to become more effective in their role and contribute to the financial security of individuals and organizations.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to create software that meets the needs of users. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Software Engineers with the skills to use data to develop software applications. This course will help them to become more effective in their role and contribute to the development of innovative software products.
Financial Analyst
A Financial Analyst is responsible for making data-driven decisions for companies, which includes creating sales forecasts. They use statistical models to predict future outcomes and trends. The course 'Predict Sales and Forecast Trends in Google Sheets' provides a solid foundation for Financial Analysts, as they learn how to use statistical forecasting to create and interpret sales trend forecasts. This course will enhance their ability to make informed decisions and contribute to the company's success.
Risk Analyst
Risk Analysts assess and manage risk for organizations. They use a variety of techniques, including statistical forecasting, to identify and mitigate risks. The course 'Predict Sales and Forecast Trends in Google Sheets' provides Risk Analysts with the skills to conduct trend forecasts and use data to manage risk. This course will help them to become more effective in their role and contribute to the safety and security of their organizations.

Reading list

We've selected ten 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 Predict Sales and Forecast Trends in Google Sheets.
Provides a comprehensive overview of forecasting methods, covering both the theoretical foundations and practical applications. It valuable resource for anyone who wants to learn more about forecasting techniques.
This classic textbook provides a thorough treatment of time series analysis, including forecasting methods. It valuable reference for researchers and practitioners.
Provides a practical guide to statistical forecasting methods. It valuable resource for practitioners who need to develop and implement forecasting models.
Provides a comprehensive introduction to machine learning methods, including forecasting methods. It valuable resource for researchers and practitioners who want to learn about the latest advances in forecasting.
Provides a comprehensive overview of time series analysis and forecasting methods. It valuable resource for anyone who wants to learn more about how to analyze and forecast time series data.
Provides a comprehensive overview of marketing forecasting methods. It valuable resource for practitioners who need to develop and implement forecasting models for marketing purposes.
Provides a comprehensive introduction to data mining methods, including forecasting methods. It valuable resource for researchers and practitioners who want to learn about the latest advances in forecasting.
Provides a practical guide to business forecasting. It valuable resource for practitioners who need to develop and implement forecasting models for business purposes.
Provides a comprehensive overview of time series analysis and forecasting. It valuable resource for anyone who wants to learn more about the theoretical foundations of forecasting.
Provides a comprehensive overview of time series analysis and forecasting. It valuable resource for anyone who wants to learn more about the theoretical foundations of forecasting.

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