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Analysis of Variance with ANOVA in Google Sheets
Freedom Learning Group
Freedom Learning Group
In every domain it is critical to decision making to understand whether differences exist between two or more groups of things or outcomes. In this course you will test for differences with the One-Way ANOVA analysis of variance technique. You will also learn how to design the test and apply tactics so that you are able to confidently report statistical significance between and within groups if it exists. For this course, we will work side-by-side in the free-to-use software Google Sheets.
Read more
In every domain it is critical to decision making to understand whether differences exist between two or more groups of things or outcomes. In this course you will test for differences with the One-Way ANOVA analysis of variance technique. You will also learn how to design the test and apply tactics so that you are able to confidently report statistical significance between and within groups if it exists. For this course, we will work side-by-side in the free-to-use software Google Sheets.
Read more
In every domain it is critical to decision making to understand whether differences exist between two or more groups of things or outcomes. In this course you will test for differences with the One-Way ANOVA analysis of variance technique. You will also learn how to design the test and apply tactics so that you are able to confidently report statistical significance between and within groups if it exists. For this course, we will work side-by-side in the free-to-use software Google Sheets.
By the end of this course, you will be able to apply ANOVA and post hoc tests using any spreadsheet software and you will be able to confidently report levels of statistical significance in groups.
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/hapgvb/analysis
What's inside
Syllabus
Analysis of Variance with ANOVA in Google Sheets
In every domain it is critical to decision making to understand whether differences exist between two or more groups of things or outcomes. In this course you will test for differences with the One-Way ANOVA analysis of variance technique. You will also learn how to design the test and apply tactics so that you are able to confidently report statistical significance between and within groups if it exists. For this course, we will work side-by-side in the free-to-use software Google Sheets.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Assumes learners have a working knowledge of spreadsheets
Teaches skills that are immediately applicable in practice
Focuses on a critical skill in any domain: understanding differences between groups
Suitable for beginners who want to gain a solid foundation in ANOVA
Uses Google Sheets, a free and accessible software, which makes it easy for learners to follow along
Provides hands-on practice with ANOVA in Google Sheets
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Reviews summary
Anova basics in google sheets
Learners say this course covers the basics of ANOVA in Google Sheets. According to students, the course includes an online practicing tool that helps make learning ANOVA easier. Although there is some self-practice involved, students recommend improvements in this area.
Engaging online tool for practice.
"i am glad that i participated in ANOVA and i was excited with the online practicing tool which made me understand ANOVA in a better way. "
Self-practice lacking.
"Good enough. Self-practicing opportunity should be improved."
Activities
Coming soon
We're preparing activities for
Analysis of Variance with ANOVA in Google Sheets.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Analysis of Variance with ANOVA in Google Sheets will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians design and conduct studies and surveys, collect and analyze data, and interpret and present research findings. One-Way ANOVA is a commonly used statistical technique that can help Statisticians understand relationships between variables and make inferences about larger populations.
Data Scientist
Data Scientist
Data Scientists develop, deploy, and evaluate models that extract insights from data. Taking a One-Way ANOVA course helps Data Scientists evaluate the significance of differences between groups, allowing them to make more accurate predictions and recommendations based on data analysis.
Market Researcher
Market Researcher
Market Researchers conduct studies to understand consumer behavior and market trends. One-Way ANOVA is a valuable tool for identifying statistically significant differences between different market segments and testing the effectiveness of marketing campaigns.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex business problems and improve efficiency. One-Way ANOVA can help them evaluate the effectiveness of different operational strategies and make data-driven recommendations for improvement.
Financial Analyst
Financial Analyst
Financial Analysts apply statistical and analytical techniques to assess the performance of investments and make recommendations for clients. One-Way ANOVA helps them evaluate the significance of differences in financial returns between different investment options.
Business Analyst
Business Analyst
Business Analysts use data analysis and problem-solving skills to identify and solve business challenges. One-Way ANOVA is a valuable tool for understanding relationships between variables and making evidence-based recommendations.
Data Analyst
Data Analyst
Data Analysts use data analysis and visualization techniques to uncover insights and trends from data. One-Way ANOVA helps them identify statistically significant differences between groups and make informed decisions based on data.
Risk Analyst
Risk Analyst
Risk Analysts assess and mitigate financial and operational risks for organizations. One-Way ANOVA helps them evaluate the significance of differences in risk exposure between different business units or risk scenarios.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical modeling to analyze financial data and make investment decisions. One-Way ANOVA is a commonly used technique for evaluating the significance of differences in financial returns between different investment strategies.
Epidemiologist
Epidemiologist
Epidemiologists investigate the distribution and causes of diseases and other health conditions in populations. One-Way ANOVA can help them identify risk factors and evaluate the effectiveness of public health interventions.
Biostatistician
Biostatistician
Biostatisticians apply statistical methods to medical and biological data to understand the causes and prevalence of diseases. One-Way ANOVA is a widely used technique for analyzing clinical trial data and evaluating the effectiveness of different treatments.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess and manage financial risks for insurance companies and other organizations. One-Way ANOVA helps them evaluate the significance of differences in risk factors between different insurance policies or underwriting criteria.
Operations Manager
Operations Manager
Operations Managers plan and oversee the day-to-day operations of organizations. One-Way ANOVA may be useful for evaluating the effectiveness of different operational strategies or identifying bottlenecks in production processes.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. One-Way ANOVA may be useful for evaluating the performance of different software algorithms or testing the effectiveness of different user interfaces.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. One-Way ANOVA may be useful for evaluating the effectiveness of different project management techniques or identifying factors that contribute to project success.
For more career information including salaries, visit:
OpenCourser.com/course/hapgvb/analysis
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
Analysis of Variance with ANOVA in Google Sheets.
Provides a comprehensive overview of mathematical statistics, including ANOVA. It valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive overview of statistical methods, including ANOVA. It valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive overview of experimental design and analysis, including ANOVA. It valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive overview of statistical methods, including ANOVA. It valuable resource for anyone who wants to learn more about these topics.
Provides a comprehensive guide to using Excel for statistical analysis, including ANOVA. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
Save
Provides a comprehensive overview of statistical thinking, including ANOVA. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
Provides a comprehensive overview of statistics, including ANOVA. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
Provides a comprehensive overview of statistics, including ANOVA. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
Provides a comprehensive overview of statistical methods used in psychology, including ANOVA. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
Provides a comprehensive overview of statistics, including ANOVA. It is written in a clear and concise style, making it accessible to readers with a variety of backgrounds.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hapgvb/analysis
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Freedom Learning Group
Language
English
Good to know
Assumes learners have a working knowledge of spreadsheets
Teaches skills that are immediately applicable in practice
Focuses on a critical skill in any domain: understanding differences between groups
Suitable for beginners who want to gain a solid foundation in ANOVA
Uses Google Sheets, a free and accessible software, which makes it easy for learners to follow along
Provides hands-on practice with ANOVA in Google Sheets
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