We may earn an affiliate commission when you visit our partners.

Predict Performance Using MA Forecasting in Google Sheets

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 for the future and make strategic decisions. Predicting Performance is especially key to decision-making and risk management. In this project, you will build prediction skills with Moving Averages or MA. MA is classic method of time series decomposition most often used with financial predictions. As you work with MA you will also learn how to evaluate and choose the highest performing model to make the most accurate predictions. You will build your skill as we work side-by-side in the free-to-use software Google Sheets. By the end of this project, you will understand use cases for conducting MA trend forecasts in your workplace, be able to conduct MA forecasting in any spreadsheet software, and be able to confidently select the best performing forecast model to enable decision-making. 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.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for beginners seeking a foundation in time series decomposition

Ideal for individuals in finance or economics who require forecasting skills

Assumes familiarity with spreadsheet software like Google Sheets

Focuses primarily on Moving Averages for forecasting, not exploring other techniques

Save this course

Save Predict Performance Using MA Forecasting in Google Sheets to your list so you can find it easily later:

Save

Reviews summary

Forecasting in google sheets

This course teaches you how to use Moving Averages (MA) to predict performance in Google Sheets. You'll learn how to evaluate and choose the highest performing model to make the most accurate predictions.

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 Performance Using MA Forecasting in Google Sheets with these activities:

Review foundational statistics concepts

Show steps

Refresh foundational statistics concepts to provide a strong foundation for the course materials.

Browse courses on Statistics

Show steps

Review basic probability
Review statistical inference
Review regression analysis

Review time series analysis techniques

Show steps

Before beginning the course, students will greatly benefit by reviewing time series analysis techniques as a prerequisite.

Browse courses on Time Series Analysis

Show steps

Review ARIMA
Review SARIMA
Review ETS
Review Prophet

Attend a webinar on time series forecasting

Show steps

Consume an online webinar on time series forecasting to supplement the course's materials and expand knowledge.

Browse courses on Time Series Forecasting

Show steps

Register for a webinar
Attend the webinar
Take notes and engage

Five other activities

Expand to see all activities and additional details

Show all eight activities

Practice creating moving averages in Google Sheets

Show steps

Practice working with moving averages in Google Sheets to reinforce MA forecasting techniques.

Browse courses on Moving Averages

Show steps

Create a moving average using a formula
Create a moving average using a function
Evaluate and compare the results

Compile a resource list of time series analysis tools

Show steps

Compile a resource list on time series analysis tools to synthesize and expand on the course's materials.

Browse courses on Time Series Analysis

Show steps

Research time series analysis tools
Evaluate and compare tools
Create a resource list

Build a dashboard to visualize MA forecasts

Show steps

Complete a project that reinforces dashboarding techniques taught in the course as they apply to time series analysis.

Browse courses on Data Visualization

Show steps

Gather data and prepare visualizations
Create interactive visualizations
Deploy the dashboard

Participate in a time series forecasting competition

Show steps

Apply time series forecasting skills in a competitive setting to test and refine knowledge.

Browse courses on Time Series Forecasting

Show steps

Find a suitable competition
Prepare data and models
Submit results and analyze performance

Contribute to an open-source time series forecasting library

Show steps

Engage with the time series forecasting community by contributing to an open-source library.

Browse courses on Time Series Forecasting

Show steps

Find a suitable project
Contribute code or documentation
Engage with the community

Career center

Learners who complete Predict Performance Using MA Forecasting in Google Sheets will develop knowledge and skills that may be useful to these careers:

Financial Analyst

Financial Analysts create financial models to predict future performance, both for companies and for the market as a whole. Because so much of their work is based on making accurate predictions, Financial Analysts can greatly benefit from learning how to build and utilize effective time series forecasting models using Moving Averages in Google Sheets. This course provides a perfect primer for those who wish to become Financial Analysts, with a particular emphasis on model building and selection for performance prediction.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries are responsible for assessing and managing financial risk. This often includes using time series forecasting models to predict future cash flows, claims, and other financial outcomes. Learning how to build and use Moving Average forecasting models in Google Sheets can be a helpful tool in performing these duties. This course can help Actuaries develop the skills they need to build accurate and reliable forecasting models to support their risk management work.

See salaries and explore the career path for Actuary

Data Analyst

Data Analysts use data to solve business problems and make better decisions. This often involves using time series forecasting models to predict future trends and outcomes. Moving Average models are a popular forecasting technique that can be easily implemented in Google Sheets. This course can help Data Analysts learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Data Analysts who want to improve their forecasting accuracy and make better data-driven decisions.

See salaries and explore the career path for Data Analyst

Market Researcher

Market Researchers study market trends to help businesses understand their customers and make better decisions. This often involves using time series forecasting models to predict future demand and sales. Moving Average models are a simple and effective forecasting technique that can be used to predict future market trends. This course can help Market Researchers learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Market Researchers who want to improve their forecasting accuracy and make better data-driven decisions.

See salaries and explore the career path for Market Researcher

Portfolio Manager

Portfolio Managers manage investments for individuals and institutions. This often involves using time series forecasting models to predict future market trends and returns. Moving Average models are a popular forecasting technique that can be used to predict future financial outcomes. This course can help Portfolio Managers learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Portfolio Managers who want to improve their forecasting accuracy and make better investment decisions.

See salaries and explore the career path for Portfolio Manager

Financial Planner

Financial Planners help individuals and businesses plan for their financial future. This often involves using time series forecasting models to predict future income, expenses, and investments. Moving Average models are a simple and effective forecasting technique that can be used to predict future financial outcomes. This course can help Financial Planners learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Financial Planners who want to improve their forecasting accuracy and make better data-driven financial plans for their clients.

See salaries and explore the career path for Financial Planner

Business Analyst

Business Analysts use data to identify and solve business problems. This often involves using time series forecasting models to predict future performance and outcomes. Moving Average models are a popular forecasting technique that can be easily implemented in Google Sheets. This course can help Business Analysts learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Business Analysts who want to improve their forecasting accuracy and make better data-driven decisions.

See salaries and explore the career path for Business Analyst

Investment Analyst

Investment Analysts evaluate and recommend investments for individuals and institutions. This often involves using time series forecasting models to predict future stock prices and market trends. Moving Average models are a popular forecasting technique that can be used to predict future financial outcomes. This course can help Investment Analysts learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Investment Analysts who want to improve their forecasting accuracy and make better investment decisions.

See salaries and explore the career path for Investment Analyst

Risk Manager

Risk Managers assess and manage financial risk for businesses and organizations. This often involves using time series forecasting models to predict future financial outcomes and risks. Moving Average models are a popular forecasting technique that can be used to predict future financial outcomes. This course can help Risk Managers learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Risk Managers who want to improve their forecasting accuracy and make better risk management decisions.

See salaries and explore the career path for Risk Manager

Statistician

Statisticians use data to solve problems and make better decisions. This often involves using time series forecasting models to predict future outcomes and trends. Moving Average models are a popular forecasting technique that can be used to predict future outcomes. This course can help Statisticians learn how to build and use Moving Average forecasting models in Google Sheets. This can be a valuable skill for Statisticians who want to improve their forecasting accuracy and make better data-driven decisions.

See salaries and explore the career path for Statistician

Quantitative Analyst

Quantitative Analysts use mathematical and statistical techniques to analyze financial data and make investment decisions. This often involves using time series forecasting models to predict future stock prices and market trends. Moving Average models are a popular forecasting technique that can be used to predict future financial outcomes. This course may be useful for Quantitative Analysts who want to learn how to build and use Moving Average forecasting models in Google Sheets. This can be a helpful skill for Quantitative Analysts who want to improve their forecasting accuracy and make better investment decisions.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical techniques to solve business problems. This often involves using time series forecasting models to predict future demand, supply, and other operational metrics. Moving Average models are a popular forecasting technique that can be used to predict future operational outcomes. This course may be useful for Operations Research Analysts who want to learn how to build and use Moving Average forecasting models in Google Sheets. This can be a helpful skill for Operations Research Analysts who want to improve their forecasting accuracy and make better data-driven decisions.

See salaries and explore the career path for Operations Research Analyst

Economist

Economists study the economy and make predictions about future economic trends. This often involves using time series forecasting models to predict future economic growth, inflation, and other economic indicators. Moving Average models are a popular forecasting technique that can be used to predict future economic outcomes. This course may be useful for Economists who want to learn how to build and use Moving Average forecasting models in Google Sheets. This can be a helpful skill for Economists who want to improve their forecasting accuracy and make better economic predictions.

See salaries and explore the career path for Economist

Data Scientist

Data Scientists use data to solve problems and make better decisions. This often involves using time series forecasting models to predict future outcomes and trends. Moving Average models are a popular forecasting technique that can be used to predict future outcomes. This course may be useful for Data Scientists who want to learn how to build and use Moving Average forecasting models in Google Sheets. This can be a helpful skill for Data Scientists who want to improve their forecasting accuracy and make better data-driven decisions.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software applications. This often involves using time series forecasting models to predict future software usage and performance. Moving Average models are a popular forecasting technique that can be used to predict future software outcomes. This course may be useful for Software Engineers who want to learn how to build and use Moving Average forecasting models in Google Sheets. This can be a helpful skill for Software Engineers who want to improve their forecasting accuracy and make better software development decisions.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 12 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 Performance Using MA Forecasting in Google Sheets.

Forecasting: principles and practice

Save

Comprehensive guide to forecasting with exponential smoothing. If you are interested in learning more about forecasting with exponential smoothing, this valuable companion book.

Predict Performance Using MA Forecasting in Google Sheets

Good to know

Save this course

Reviews summary

Forecasting in google sheets

Activities

Career center

Reading list

Share

Similar courses