Data Driven Decision Making

Data Driven Decision Making

This course is part of The Data Driven Manager Specialization

Instructor: Wendy Martin

2,968 already enrolled

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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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

When you enroll in this course, you'll also be enrolled in this 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 videos3 readings1 assignment2 discussion prompts

16 videosTotal 89 minutes

Welcome to Data Driven Decision Making 1 minute
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 26 minutes
The One Sample t Test for the Mean Part 17 minutes
The One Sample t Test for the Mean Part 25 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 18 minutes
The Wilcoxon Signed Ranks Test for Location Part 25 minutes
The One Sample Poisson Test Part 19 minutes
The One Sample Poisson Test Part 24 minutes

3 readingsTotal 21 minutes

Course Updates and Accessibility Support1 minute
Non-Credit Students: Welcome and Where to Find Help10 minutes
Course Materials Location10 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 Association1 minute
Correlation and Association4 minutes
Correlation and Scatterplots9 minutes
The One Sample t Test for Correlation 6 minutes
Fisher’s Z Test for Correlation5 minutes
Spearman’s Rank-Order Correlation5 minutes
Point Biserial Correlation7 minutes
Cross Tabulation and Categorical Data Formats6 minutes
Calculating the Chi Square Statistic8 minutes
Measures of Association9 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 70 minutes

Introduction to Two Sample Tests for Independent Data1 minute
Independent vs Dependent Samples5 minutes
Two Sample Equal Variance t Test for Means8 minutes
Two Sample Equal Variance t Test for Means Practice Problem6 minutes
Two Sample Unequal Variance t Test for Means4 minutes
Two Sample Unequal Variance t Test for Means Practice Problem6 minutes
Two Independent Sample F Test for Variances4 minutes
Two Independent Sample F Test for Variances Practice Problem5 minutes
The Levene Test for Dispersion and the ADM(n-1) Procedure7 minutes
Fisher’s Exact Test5 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 Test5 minutes
Wilcoxon Mann Whitney Test Example3 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.

What's included

18 videos1 assignment1 discussion prompt

18 videosTotal 79 minutes

Introduction to Two Sample Tests for Dependent Data1 minute
Introduction to Two Sample Dependent Tests2 minutes
The Repeated Measures t Test10 minutes
Creating a Scatterplot with an ISO Line2 minutes
The Repeated Measures t Test Example5 minutes
The Matched Pairs t Test6 minutes
The Matched Pairs t Test Example3 minutes
The Two Sample Dependent t Test for Variances3 minutes
The Two Sample Dependent t Test for Variances Example6 minutes
McNemar’s Test for Change10 minutes
McNemar’s Test for Change Example4 minutes
The Wilcoxon Signed Ranks Test5 minutes
Wilcoxon Signed Ranks Test Example3 minutes
Pre Post Test Introduction3 minutes
Problem 1 Pre Test Groups5 minutes
Problem 2 Pre Post Test Group 15 minutes
Problem 3 Pre Post Test Group 24 minutes
Problem 4 Post Test Groups3 minutes

1 assignmentTotal 60 minutes

Two Sample Tests for Dependent Data60 minutes

1 discussion promptTotal 10 minutes

Two Sample Tests for Dependent Data10 minutes

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

What's included

13 videos1 assignment1 discussion prompt

13 videosTotal 62 minutes

Introduction to One Way ANOVA1 minute
The One Way Analysis of Variance4 minutes
ANOVA Principles5 minutes
One Way ANOVA for Means6 minutes
The ANOVA Source Table6 minutes
ANOVA Assumptions and Welch's ANOVA3 minutes
Data Visualization for ANOVA4 minutes
Statistical Importance6 minutes
One Way ANOVA for Dispersion8 minutes
Post Hoc Analysis6 minutes
Roadmap for the One Way ANOVA Part 15 minutes
Roadmap for the One Way ANOVA Part 24 minutes
Roadmap for the One Way ANOVA Part 34 minutes

1 assignmentTotal 60 minutes

One Way ANOVA60 minutes

1 discussion promptTotal 10 minutes

One Way ANOVA10 minutes

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This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹