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Tricia Bagley
By the end of this project, you will be able to further your business intelligence goals by confidently analyzing the differences between groups using statistical techniques in any spreadsheet software.
Uncovering the relationship between variables is usually at the top of an analyst’s list of goals, when approaching a data set. Pearson’s Chi-Squared Test is a powerful tool that can confirm or invalidate observed differences. In your Chi-Squared in Google Sheets project, you will gain hands-on experience formatting variables within a data set so that you can understand if differences exists in groups, then you will perform several...
Read more
By the end of this project, you will be able to further your business intelligence goals by confidently analyzing the differences between groups using statistical techniques in any spreadsheet software.
Uncovering the relationship between variables is usually at the top of an analyst’s list of goals, when approaching a data set. Pearson’s Chi-Squared Test is a powerful tool that can confirm or invalidate observed differences. In your Chi-Squared in Google Sheets project, you will gain hands-on experience formatting variables within a data set so that you can understand if differences exists in groups, then you will perform several...
Read more
By the end of this project, you will be able to further your business intelligence goals by confidently analyzing the differences between groups using statistical techniques in any spreadsheet software.
Uncovering the relationship between variables is usually at the top of an analyst’s list of goals, when approaching a data set. Pearson’s Chi-Squared Test is a powerful tool that can confirm or invalidate observed differences. In your Chi-Squared in Google Sheets project, you will gain hands-on experience formatting variables within a data set so that you can understand if differences exists in groups, then you will perform several Chi-Squared tests for significance of difference, interpret the probability that significant differences exist, and report your findings. To do this you will work in the free-to-use spreadsheet 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.
Register for this course and see more details by visiting:
OpenCourser.com/course/v1dc2b/chi
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches skills that are valuable for statistical analysis in spreadsheet software
Builds a foundation for students to confidently analyze data using Chi-squared tests
Uses hands-on labs and interactive materials to engage learners
Designed for learners based in North America
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Reviews summary
Chi-square in google sheets
This practical course teaches you to use the Chi-Square Test in Google Sheets to analyze data and identify differences between groups. Suitable for North American learners with spreadsheet experience.
Best suited for North American learners.
"Note: This course works best for learners who are based in the North America region."
Hands-on experience with Chi-Square tests in Google Sheets.
"gain hands-on experience formatting variables within a data set so that you can understand if differences exists in groups"
Could provide more detail on data interpretation.
"Very informative, wish it was a bit more elaborative on the data interpretation"
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 Chi-Squared Test in Google Sheets with these
activities:
Review descriptive statistics
Show steps
Refreshes your understanding of descriptive statistics, which is necessary for understanding the course content.
Browse courses on
Descriptive Statistics
Show steps
-
Practice calculating measures of central tendency (mean, median, mode)
-
Review the concept of standard deviation and variance
Read 'Statistical Methods for Business and Economics' by Gerald Keller
Show steps
Provides a comprehensive overview of statistical methods relevant to business and economics, supplementing the course content.
View
Statistics for Management and Economics
on Amazon
Show steps
-
Read the book thoroughly
-
Complete the practice exercises and problems
Participate in a study group
Show steps
Engages you in collaborative learning, allowing you to share knowledge and gain different perspectives.
Show steps
-
Find a group of peers with similar interests
-
Meet regularly to discuss course material and work on assignments
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems on statistical significance
Show steps
Provides additional practice in applying the concepts of statistical significance, reinforcing your understanding.
Browse courses on
Statistical Significance
Show steps
-
Complete practice problems involving hypothesis testing
-
Analyze real-world data sets to determine statistical significance
Develop a data visualization dashboard
Show steps
Allows you to apply the concepts of statistical analysis to real-world data, enhancing your practical skills.
Browse courses on
Data Visualization
Show steps
-
Identify a data set and relevant variables
-
Choose appropriate visualization techniques
-
Create an interactive dashboard using a data visualization tool
Explore online tutorials on advanced statistical techniques
Show steps
Provides an opportunity to delve deeper into advanced statistical techniques, expanding your knowledge beyond the course content.
Show steps
-
Identify online tutorials or courses on topics of interest
-
Work through the tutorials at your own pace
Contribute to open-source projects related to data analysis
Show steps
Involves you in real-world data analysis projects, enhancing your practical skills and contributing to the community.
Browse courses on
Open Source
Show steps
-
Identify open-source projects that align with your interests
-
Contribute code, documentation, or bug fixes
Review descriptive statistics
Show steps
Refreshes your understanding of descriptive statistics, which is necessary for understanding the course content.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Practice calculating measures of central tendency (mean, median, mode)
- Review the concept of standard deviation and variance
Read 'Statistical Methods for Business and Economics' by Gerald Keller
Show steps
Provides a comprehensive overview of statistical methods relevant to business and economics, supplementing the course content.
View
Statistics for Management and Economics
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly
- Complete the practice exercises and problems
Participate in a study group
Show steps
Engages you in collaborative learning, allowing you to share knowledge and gain different perspectives.
Show steps
Show steps
Show steps
- Find a group of peers with similar interests
- Meet regularly to discuss course material and work on assignments
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve practice problems on statistical significance
Show steps
Provides additional practice in applying the concepts of statistical significance, reinforcing your understanding.
Browse courses on
Statistical Significance
Show steps
Show steps
Show steps
- Complete practice problems involving hypothesis testing
- Analyze real-world data sets to determine statistical significance
Develop a data visualization dashboard
Show steps
Allows you to apply the concepts of statistical analysis to real-world data, enhancing your practical skills.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify a data set and relevant variables
- Choose appropriate visualization techniques
- Create an interactive dashboard using a data visualization tool
Explore online tutorials on advanced statistical techniques
Show steps
Provides an opportunity to delve deeper into advanced statistical techniques, expanding your knowledge beyond the course content.
Show steps
Show steps
Show steps
- Identify online tutorials or courses on topics of interest
- Work through the tutorials at your own pace
Contribute to open-source projects related to data analysis
Show steps
Involves you in real-world data analysis projects, enhancing your practical skills and contributing to the community.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source projects that align with your interests
- Contribute code, documentation, or bug fixes
Career center
Learners who complete Chi-Squared Test in Google Sheets will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data scientists use statistical techniques to build predictive models and analyze large datasets. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to build predictive models and analyze large datasets.
Business Analyst
Business Analyst
Business analysts use statistical techniques to analyze data and identify opportunities for improvement. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to analyze business data and make recommendations for process improvement.
Operations Research Analyst
Operations Research Analyst
Operations research analysts use statistical techniques to analyze complex systems and identify opportunities for improvement. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to analyze complex systems and identify opportunities for process improvement.
Statistician
Statistician
Statisticians use statistical techniques to collect, analyze, interpret, and present data. The Chi-Squared Test in Google Sheets course will provide you with a deeper understanding of the Chi-Squared Test.
Data Analyst
Data Analyst
Data analysts need to be proficient in using statistical tools to analyze large datasets and identify important trends. This course on the Chi-Squared Test in Google Sheets will provide you with the skills you need to analyze complex data sets and uncover important relationships that can help inform business decisions.
Financial Analyst
Financial Analyst
Financial analysts use statistical techniques to analyze financial data and make investment recommendations. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to analyze financial data and make sound investment decisions.
Risk Analyst
Risk Analyst
Risk analysts use statistical techniques to identify and assess risks. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to identify and assess risks.
Actuary
Actuary
Actuaries use statistical techniques to assess risk and uncertainty. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to assess risk and uncertainty.
Epidemiologist
Epidemiologist
Epidemiologists use statistical techniques to study the distribution and patterns of health events and diseases in a population. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to analyze data and identify patterns related to health outcomes.
Biostatistician
Biostatistician
Biostatisticians use statistical techniques to analyze biomedical data. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to analyze biomedical data.
Market Researcher
Market Researcher
Market researchers use statistical techniques to collect and analyze data to understand market trends and consumer behavior. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to understand and use statistical techniques to analyze market data.
Manufacturing Engineer
Manufacturing Engineer
Manufacturing engineers use statistical techniques to improve manufacturing processes. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to improve manufacturing processes.
Quantitative Researcher
Quantitative Researcher
Quantitative researchers use statistical techniques to develop and test investment strategies. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to develop and test investment strategies.
Quality Control Manager
Quality Control Manager
Quality control managers use statistical techniques to monitor and improve product quality. The Chi-Squared Test in Google Sheets course will provide you with the skills you need to use statistical techniques to monitor and improve product quality.
For more career information including salaries, visit:
OpenCourser.com/course/v1dc2b/chi
Reading list
We've selected 14 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
Chi-Squared Test in Google Sheets.
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Would be an ideal additional textbook to help provide the necessary background in probability and statistics for full comprehension and use of the material covered in this course. Due to the mathematical nature of hypothesis testing, this book may be challenging for some readers with little statistical background however.
An excellent additional textbook to provide additional background information and practice with the techniques and applications of statistical methods in the field of psychology, including use of the Chi-squared test for significance of difference.
Provides a great resource to increase the depth and breadth of the course by providing more information about nonparametric statistical tests, a great companion to the Chi-squared test.
Would be a useful reference for those who want additional depth in the mathematical theory and history behind statistical inference, including hypothesis testing.
Would be a valuable additional resource for those who want to increase their knowledge about statistical learning and modeling techniques, which could add breadth to the course.
A good additional reference for those who want to apply the techniques and knowledge covered in this course using the R statistical software.
An additional reference that would add breadth to the course by enhancing the data science perspective and providing more techniques and approaches to statistical modeling.
Could be a helpful resource to provide more background information and context regarding statistical thinking, which could be useful for those new to the field.
An additional textbook that provides depth and breadth to the course by exploring statistical methods and applications in the field of biology.
An additional textbook to enhance the breadth of the course by providing more statistical methods and applications in the field of life sciences.
This advanced textbook would be a useful reference for those seeking additional mathematical depth and rigor in statistics and probability.
An additional reference that provides a comprehensive overview of statistical theory and methods, providing additional depth and breadth to the course.
This textbook would be useful as an additional reference or textbook resource to provide a more in-depth coverage of probability and statistical inference.
Would add breadth to the course by introducing Bayesian data analysis techniques, providing a different perspective on statistical inference.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/v1dc2b/chi
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Tricia Bagley
Good to know
Teaches skills that are valuable for statistical analysis in spreadsheet software
Builds a foundation for students to confidently analyze data using Chi-squared tests
Uses hands-on labs and interactive materials to engage learners
Designed for learners based in North America
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