Data Driven Decision Making

Data Driven Decision Making

This course is part of The Data Driven Manager Specialization

Instructor: Wendy Martin

What you'll learn

Analyze data to answer business and engineering questions.
Perform statistical tests to determine changes and differences.
Perform statistical tests to determine relationships.

Details to know

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Assessments

5 assignments

Taught in English

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This course is part of the The Data Driven Manager Specialization

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There are 5 modules in this course

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.

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.

What's included

16 videos1 reading1 assignment2 discussion prompts

16 videosTotal 88 minutes

Welcome to Data Driven Decision Making 1 minutePreview module
Introduction to One Sample Tests1 minute
One Sample Tests and Hypothesis Testing Part 14 minutes
One Sample Tests and Hypothesis Testing Part 24 minutes
The One Sample Normal (Z) Test for the Mean Part 17 minutes
The One Sample Normal (Z) Test for the Mean Part 25 minutes
The One Sample t Test for the Mean Part 16 minutes
The One Sample t Test for the Mean Part 24 minutes
The Chi Square Test for Variance Part 19 minutes
The Chi Square Test for Variance Part 24 minutes
The One Sample Exact Binomial Test Part 110 minutes
The One Sample Exact Binomial Test Part 24 minutes
The Wilcoxon Signed Ranks Test for Location Part 17 minutes
The Wilcoxon Signed Ranks Test for Location Part 24 minutes
The One Sample Poisson Test Part 19 minutes
The One Sample Poisson Test Part 23 minutes

1 readingTotal 10 minutes

Welcome and Where to Find Help10 minutes

1 assignmentTotal 60 minutes

One Sample Tests60 minutes

2 discussion promptsTotal 20 minutes

Introduce Yourself!10 minutes
One Sample Tests10 minutes

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.

What's included

10 videos1 assignment1 discussion prompt

10 videosTotal 59 minutes

Introduction to Correlation and Association0 minutesPreview module
Correlation and Association4 minutes
Correlation and Scatterplots8 minutes
The One Sample t Test for Correlation 6 minutes
Fisher’s Z Test for Correlation5 minutes
Spearman’s Rank-Order Correlation4 minutes
Point Biserial Correlation7 minutes
Cross Tabulation and Categorical Data Formats6 minutes
Calculating the Chi Square Statistic7 minutes
Measures of Association8 minutes

1 assignmentTotal 60 minutes

Correlation and Association60 minutes

1 discussion promptTotal 10 minutes

Correlation and Association10 minutes

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

What's included

15 videos1 assignment1 discussion prompt

15 videosTotal 69 minutes

Introduction to Two Sample Tests for Independent Data0 minutesPreview module
Independent vs Dependent Samples4 minutes
Two Sample Equal Variance t Test for Means7 minutes
Two Sample Equal Variance t Test for Means Practice Problem6 minutes
Two Sample Unequal Variance t Test for Means3 minutes
Two Sample Unequal Variance t Test for Means Practice Problem5 minutes
Two Independent Sample F Test for Variances4 minutes
Two Independent Sample F Test for Variances Practice Problem4 minutes
The Levene Test for Dispersion and the ADM(n-1) Procedure6 minutes
Fisher’s Exact Test4 minutes
Fisher’s Exact Test Example4 minutes
Two Independent Sample Poisson Rate Test5 minutes
Two Independent Sample Poisson Rate Test Example3 minutes
Wilcoxon Mann Whitney Test4 minutes
Wilcoxon Mann Whitney Test Example2 minutes

1 assignmentTotal 60 minutes

Two Sample Tests for Independent Data60 minutes

1 discussion promptTotal 10 minutes

Two Sample Tests for Independent Data10 minutes

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