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Moses Gummadi
Welcome to RStudio for Six Sigma - Hypothesis Testing. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure.
Read more
Welcome to RStudio for Six Sigma - Hypothesis Testing. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure.
Read more
Welcome to RStudio for Six Sigma - Hypothesis Testing. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure.
By the end of this project, you will learn to identify data types (continuous vs discrete), understand what is Hypothesis Testing, pick the right Hypothesis Testing tool, perform various Hypothesis Tests including Correlation, Simple Regression, Logistic Regression, Chi-Square Test, T-Tests, Analysis of Variance (ANOVA), and Non-Parametric tests such as Wilcoxon Rank Sum and Kruskal Wallis.
Register for this course and see more details by visiting:
OpenCourser.com/course/agdnl6/rstudio
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What's inside
Syllabus
Project Overview
Welcome to RStudio for Six Sigma - Hypothesis Testing. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the learning objectives and structure. By the end of this project, you will learn to perform Hypothesis Testing (Six Sigma) tasks hands-on using RStudio. Both R language and RStudio tools are Open Source and can be used for most Six Sigma analysis tasks without needing commercial software.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for learners with a background in data analysis and hypothesis testing, making it a good fit for individuals with experience in Six Sigma
Instructors are not widely recognized for their expertise in Six Sigma or hypothesis testing
Provides practical, hands-on experience with hypothesis testing using RStudio
Covers a wide range of hypothesis testing methods, including parametric and non-parametric tests
Emphasizes the application of hypothesis testing in Six Sigma, making it relevant to professionals in that field
Requires learners to have prior knowledge of RStudio and R programming
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Save RStudio for Six Sigma - Hypothesis Testing to your list so you can find it easily later:
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Reviews summary
Comprehensive six sigma course
According to students, this course titled RStudio for Six Sigma- Hypothesis Testing offers thorough and detailed coverage. Students also appreciate the guided project which is helpful in applying course concepts. Learners do note that the course pace may be fast.
Helpful in applying concepts
"and the idea of a guided project really helps."
In-depth coverage
"Very thorough and highly detailed."
Fast
"This intructor tends to move quickly through a lot of material."
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 RStudio for Six Sigma - Hypothesis Testing with these
activities:
Review data analysis techniques
Show steps
Reviewing data analysis techniques will help to refresh basics and strengthen fundamentals
Browse courses on
Data Analysis
Show steps
-
Review statistical concepts such as mean, median, standard deviation and hypothesis testing
-
Read online materials and articles on data analysis techniques
-
Complete practice problems and exercises
Follow tutorials on RStudio and Hypothesis Testing
Show steps
Following tutorials will help to gain proficiency in using RStudio and Hypothesis Testing techniques
Browse courses on
RStudio
Show steps
-
Search for tutorials on RStudio and Hypothesis Testing
-
Complete the tutorials and practice exercises
-
Ask questions and seek help in online forums
Practice Hypothesis Testing problems
Show steps
Practice will help to improve understanding and problem-solving skills in Hypothesis Testing
Browse courses on
Hypothesis Testing
Show steps
-
Find practice problems and exercises related to Hypothesis Testing
-
Solve the problems using RStudio
-
Review the solutions and identify areas for improvement
Five other activities
Expand to see all activities and additional details
Show all eight activities
Compile a glossary of Hypothesis Testing terms
Show steps
Creating a glossary will help to improve understanding and retention of key Hypothesis Testing concepts
Browse courses on
Hypothesis Testing
Show steps
-
Identify important Hypothesis Testing terms and concepts
-
Define and explain each term in detail
-
Organize the terms into a coherent glossary
Conduct peer-to-peer teaching sessions
Show steps
Teaching others will reinforce understanding and allow one to identify areas for improvement
Browse courses on
Hypothesis Testing
Show steps
-
Identify a Hypothesis Testing topic to teach
-
Prepare teaching materials and practice delivering the session
-
Teach the session to peers and answer questions
Volunteer at a research organization
Show steps
Volunteering will provide practical experience and exposure to real-world Hypothesis Testing applications
Browse courses on
Hypothesis Testing
Show steps
-
Find a research organization that aligns with interests
-
Apply for a volunteer position
-
Participate in Hypothesis Testing projects and learn from experienced researchers
Conduct a Hypothesis Testing project
Show steps
Conducting a project will provide hands-on experience and deepen understanding of Hypothesis Testing
Browse courses on
Hypothesis Testing
Show steps
-
Define a research question and hypothesis
-
Collect and analyze data using RStudio
-
Interpret results and draw conclusions
Contribute to open-source Hypothesis Testing projects
Show steps
Contributing to open-source projects will provide hands-on experience and exposure to different Hypothesis Testing approaches
Browse courses on
Hypothesis Testing
Show steps
-
Find open-source Hypothesis Testing projects on platforms like GitHub
-
Review the project documentation and identify areas to contribute
-
Make code contributions, report bugs, or suggest improvements
Review data analysis techniques
Show steps
Reviewing data analysis techniques will help to refresh basics and strengthen fundamentals
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review statistical concepts such as mean, median, standard deviation and hypothesis testing
- Read online materials and articles on data analysis techniques
- Complete practice problems and exercises
Follow tutorials on RStudio and Hypothesis Testing
Show steps
Following tutorials will help to gain proficiency in using RStudio and Hypothesis Testing techniques
Browse courses on
RStudio
Show steps
Show steps
Show steps
- Search for tutorials on RStudio and Hypothesis Testing
- Complete the tutorials and practice exercises
- Ask questions and seek help in online forums
Practice Hypothesis Testing problems
Show steps
Practice will help to improve understanding and problem-solving skills in Hypothesis Testing
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find practice problems and exercises related to Hypothesis Testing
- Solve the problems using RStudio
- Review the solutions and identify areas for improvement
Five other activities
Expand to see all activities and additional details
Show all eight activities
Compile a glossary of Hypothesis Testing terms
Show steps
Creating a glossary will help to improve understanding and retention of key Hypothesis Testing concepts
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Identify important Hypothesis Testing terms and concepts
- Define and explain each term in detail
- Organize the terms into a coherent glossary
Conduct peer-to-peer teaching sessions
Show steps
Teaching others will reinforce understanding and allow one to identify areas for improvement
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Identify a Hypothesis Testing topic to teach
- Prepare teaching materials and practice delivering the session
- Teach the session to peers and answer questions
Volunteer at a research organization
Show steps
Volunteering will provide practical experience and exposure to real-world Hypothesis Testing applications
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find a research organization that aligns with interests
- Apply for a volunteer position
- Participate in Hypothesis Testing projects and learn from experienced researchers
Conduct a Hypothesis Testing project
Show steps
Conducting a project will provide hands-on experience and deepen understanding of Hypothesis Testing
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Define a research question and hypothesis
- Collect and analyze data using RStudio
- Interpret results and draw conclusions
Contribute to open-source Hypothesis Testing projects
Show steps
Contributing to open-source projects will provide hands-on experience and exposure to different Hypothesis Testing approaches
Browse courses on
Hypothesis Testing
Show steps
Show steps
Show steps
- Find open-source Hypothesis Testing projects on platforms like GitHub
- Review the project documentation and identify areas to contribute
- Make code contributions, report bugs, or suggest improvements
Career center
Learners who complete RStudio for Six Sigma - Hypothesis Testing will develop knowledge and skills
that may be useful to these careers:
Six Sigma Specialist
Six Sigma Specialist
Six Sigma Specialists are responsible for improving the quality of processes within an organization. They use statistical methods and other tools to identify and eliminate defects. RStudio for Six Sigma - Hypothesis Testing is a great resource for Six Sigma Specialists. The course provides a thorough introduction to hypothesis testing, a key tool for Six Sigma work. The practical focus of the course helps learners develop hands-on skills that they can immediately apply to real-world projects.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. They may work in a variety of industries, including healthcare, finance, and government. RStudio for Six Sigma - Hypothesis Testing provides a comprehensive introduction to hypothesis testing, which is fundamental to the work of a Statistician. The course covers a wide range of topics, including data types, probability distributions, and statistical tests. The hands-on RStudio environment allows learners to practice what they’ve learned and apply statistical methods to real-world data.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts are responsible for ensuring that products and services meet quality standards. They use statistical methods and other tools to identify and eliminate defects. RStudio for Six Sigma - Hypothesis Testing can be an excellent resource for Quality Assurance Analysts. The course provides a thorough introduction to hypothesis testing, a key tool for quality assurance work. The hands-on RStudio environment allows learners to practice what they’ve learned and develop skills in data analysis.
Data Scientist
Data Scientist
Data Scientists use statistical methods and machine learning to extract insights from data. They work in a variety of industries, including finance, healthcare, and retail. RStudio for Six Sigma - Hypothesis Testing is a valuable resource for Data Scientists. The course provides a solid foundation in hypothesis testing and other statistical techniques that are essential for data science work. The hands-on RStudio environment helps learners develop practical skills that can be directly applied to data analysis projects.
Data Analyst
Data Analyst
Data Analysts use data to understand and solve business problems. They often work with large datasets and use statistical methods to identify trends and patterns. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Data Analysts. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in data analysis. The hands-on RStudio environment helps learners develop practical skills that can be directly applied to data analysis projects.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They often work in areas such as data mining, reporting, and forecasting. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Business Intelligence Analysts. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in business intelligence. The hands-on RStudio environment allows learners to develop practical skills that can be directly applied to business intelligence projects.
Healthcare Analyst
Healthcare Analyst
Healthcare Analysts use data to understand and solve healthcare problems. They often work in areas such as healthcare policy, quality improvement, and healthcare finance. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Healthcare Analysts. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in healthcare analysis. The hands-on RStudio environment helps learners develop practical skills that can be directly applied to healthcare analysis projects.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use data visualization tools to create visual representations of data. They often work in areas such as data journalism, marketing, and finance. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Data Visualization Specialists. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in data visualization. The hands-on RStudio environment allows learners to develop practical skills that can be directly applied to data visualization projects.
Survey Researcher
Survey Researcher
Survey Researchers design and conduct surveys to collect data. They often work in areas such as public opinion polls, market research, and social science research. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Survey Researchers. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in survey research. The hands-on RStudio environment allows learners to develop practical skills that can be directly applied to survey research projects.
Financial Analyst
Financial Analyst
Financial Analysts use data to understand and solve financial problems. They often work in areas such as investment banking, corporate finance, and portfolio management. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Financial Analysts. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in financial analysis. The hands-on RStudio environment allows learners to develop practical skills that can be directly applied to financial analysis projects.
Risk Analyst
Risk Analyst
Risk Analysts use statistical methods to assess and manage risk. They work in a variety of industries, including finance, insurance, and healthcare. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Risk Analysts. The course provides a solid foundation in hypothesis testing and other statistical methods that are commonly used in risk analysis. The hands-on RStudio environment allows learners to practice what they’ve learned and develop skills in data analysis.
Market Research Analyst
Market Research Analyst
Market Research Analysts use data to understand and solve marketing problems. They often work in areas such as product development, market segmentation, and advertising. RStudio for Six Sigma - Hypothesis Testing can be a valuable resource for Market Research Analysts. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in market research. The hands-on RStudio environment allows learners to develop practical skills that can be directly applied to market research projects.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical models to solve business problems. They often work in areas such as supply chain management, logistics, and healthcare. RStudio for Six Sigma - Hypothesis Testing can be a beneficial resource for Operations Research Analysts. The course provides a strong foundation in hypothesis testing and other statistical methods that are commonly used in operations research. The hands-on RStudio environment allows learners to develop practical skills that can be directly applied to operations research projects.
Quantitative Analyst
Quantitative Analyst
As a Quantitative Analyst, you are responsible for gathering and analyzing data to help businesses make informed decisions. You typically have a strong background in mathematics, statistics, and machine learning. RStudio for Six Sigma - Hypothesis Testing can be an excellent resource for Quantitative Analysts focusing on quality improvement. The course provides a strong foundation in hypothesis testing, which is essential for understanding data and making accurate predictions. Furthermore, the skills and knowledge gained in this course may be helpful in advancing a career as a Quantitative Analyst.
Business Analyst
Business Analyst
Business Analysts use data to understand and solve business problems. They work in a variety of industries, including consulting, finance, and technology. RStudio for Six Sigma - Hypothesis Testing can provide Business Analysts with a solid foundation in statistical methods and data analysis. The course provides opportunities to practice using RStudio, a widely-used software package for data analysis. The skills and knowledge gained in this course may be helpful in advancing a career as a Business Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/agdnl6/rstudio
Reading list
We've selected eight 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
RStudio for Six Sigma - Hypothesis Testing.
Provides a detailed overview of hypothesis testing, with a focus on the Six Sigma methodology. It includes coverage of both parametric and non-parametric tests, and it provides numerous examples and exercises to help readers understand the concepts.
Comprehensive guide to the Six Sigma methodology. It covers all aspects of the methodology, from DMAIC to DFSS, and it includes numerous case studies and examples to help readers understand the concepts.
Provides a clear and concise overview of hypothesis testing. It covers the basic concepts of hypothesis testing, as well as more advanced topics such as power analysis and multiple comparisons.
Provides a basic overview of hypothesis testing. It is written in a clear and concise style, and it includes numerous examples and exercises to help readers understand the concepts.
Provides a comprehensive overview of hypothesis testing in R. It covers all aspects of hypothesis testing, from the basic concepts to more advanced topics such as power analysis and multiple comparisons.
Provides a comprehensive overview of hypothesis testing with SAS. It covers all aspects of hypothesis testing, from the basic concepts to more advanced topics such as power analysis and multiple comparisons.
Provides a comprehensive overview of hypothesis testing with Excel. It covers all aspects of hypothesis testing, from the basic concepts to more advanced topics such as power analysis and multiple comparisons.
Provides a comprehensive overview of hypothesis testing with Minitab. It covers all aspects of hypothesis testing, from the basic concepts to more advanced topics such as power analysis and multiple comparisons.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/agdnl6/rstudio
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
Suitable for learners with a background in data analysis and hypothesis testing, making it a good fit for individuals with experience in Six Sigma
Instructors are not widely recognized for their expertise in Six Sigma or hypothesis testing
Provides practical, hands-on experience with hypothesis testing using RStudio
Covers a wide range of hypothesis testing methods, including parametric and non-parametric tests
Emphasizes the application of hypothesis testing in Six Sigma, making it relevant to professionals in that field
Requires learners to have prior knowledge of RStudio and R programming
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