Data Driven Decision Making from Coursera

Once we have generated data, we need to answer the research question by performing an appropriate statistical analysis. Engineers and business professionals need to know which test or tests to use. Through this class, you will be able to perform one sample tests for comparison to historical data. You will also be able to determine statistically significant relationships between two variables. You will be able to perform two sample tests for both independent and dependent data. Finally, you will analyze data with more than two groups using the Analysis of Variance.

This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

What's inside

Syllabus

One Sample Tests

Upon completion of this module, students will be able compare generated data to historical data for both continuous and discrete data using RStudio and ROIStat.

Correlation and Association

Upon completion of this module, students will be able to determine relationships between two variables for both continuous and discrete data using RStudio and ROIStat.

Two Sample Tests for Independent Data

Upon completion of this module, students will be able to compare two independent samples for both continuous and discrete data using RStudio and ROIStat.

Two Sample Tests for Dependent Data

Upon completion of this module, students will be able to compare two dependent samples for both continuous and discrete data using RStudio and ROIStat.

The One Way Analysis of Variance

Upon completion of this module, students will be able to analyze continuous data with more than 2 groups using RStudio and ROIStat.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Wendy Martin, who is recognized for their work in engineering management

Meant for engineers and business professionals who need help choosing appropriate statistical tests

Introduces one sample tests for comparison to historical data

Presents two sample tests for both independent and dependent data

Features the Analysis of Variance for analyzing data with more than two groups

Students will need access to RStudio and ROIStat software

Career center

Learners who complete Data Driven Decision Making will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to build models and solve business problems. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses, interpret data, and build models.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians collect, analyze, and interpret data to help businesses make informed decisions. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses, interpret data, and communicate your findings.

See salaries and explore the career path for Statistician

Quantitative Analyst

Quantitative Analysts use data to build models and solve business problems. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use data to assess risk and make informed decisions. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

See salaries and explore the career path for Actuary

Business Analyst

Business Analysts use data to help businesses make informed decisions. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of business operations. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

See salaries and explore the career path for Operations Research Analyst

Epidemiologist

Epidemiologists collect, analyze, and interpret data to study the distribution and causes of disease. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

See salaries and explore the career path for Epidemiologist

Biostatistician

Biostatisticians use data to design and analyze clinical trials and other health-related studies. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

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Market Researcher

Market Researchers collect, analyze, and interpret data to help businesses understand their customers and make informed decisions. This course can help you develop the skills needed to be successful in this role by teaching you how to perform statistical analyses and interpret data.

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Civil Engineer

Civil Engineers design and build infrastructure. This course may be useful in this role by teaching you how to perform statistical analyses and interpret data, which can be useful in designing and building infrastructure.

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Computer Engineer

Computer Engineers design and build computers and computer systems. This course may be useful in this role by teaching you how to perform statistical analyses and interpret data, which can be useful in designing and building computers and computer systems.

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Software Engineer

Software Engineers design and build software. This course may be useful in this role by teaching you how to perform statistical analyses and interpret data, which can be useful in designing and building software.

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Mechanical Engineer

Mechanical Engineers design and build machines. This course may be useful in this role by teaching you how to perform statistical analyses and interpret data, which can be useful in designing and building machines.

See salaries and explore the career path for Mechanical Engineer

Electrical Engineer

Electrical Engineers design and build electrical systems. This course may be useful in this role by teaching you how to perform statistical analyses and interpret data, which can be useful in designing and building electrical systems.

See salaries and explore the career path for Electrical Engineer

Data Driven Decision Making

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