Data Driven Decision Making

Data Driven Decision Making

This course is part of The Data Driven Manager Specialization

Instructor: Wendy Martin

2,590 already enrolled

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

30 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

Build toward a degree

Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

30 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

Build toward a degree

Learn more

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

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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Build your subject-matter expertise

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.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

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 videos2 readings1 assignment2 discussion prompts

16 videos Total 89 minutes

Welcome to Data Driven Decision Making 1 minute
Introduction to One Sample Tests 1 minute
One Sample Tests and Hypothesis Testing Part 1 4 minutes
One Sample Tests and Hypothesis Testing Part 2 4 minutes
The One Sample Normal (Z) Test for the Mean Part 1 7 minutes
The One Sample Normal (Z) Test for the Mean Part 2 6 minutes
The One Sample t Test for the Mean Part 1 7 minutes
The One Sample t Test for the Mean Part 2 5 minutes
The Chi Square Test for Variance Part 1 9 minutes
The Chi Square Test for Variance Part 2 4 minutes
The One Sample Exact Binomial Test Part 1 10 minutes
The One Sample Exact Binomial Test Part 2 4 minutes
The Wilcoxon Signed Ranks Test for Location Part 1 8 minutes
The Wilcoxon Signed Ranks Test for Location Part 2 5 minutes
The One Sample Poisson Test Part 1 9 minutes
The One Sample Poisson Test Part 2 4 minutes

2 readings Total 11 minutes

Course Updates and Accessibility Support 1 minute
Non-Credit Students: Welcome and Where to Find Help 10 minutes

1 assignment Total 60 minutes

One Sample Tests 60 minutes

2 discussion prompts Total 20 minutes

Introduce Yourself! 10 minutes
One Sample Tests 10 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 videos Total 59 minutes

Introduction to Correlation and Association 1 minute
Correlation and Association 4 minutes
Correlation and Scatterplots 9 minutes
The One Sample t Test for Correlation 6 minutes
Fisher’s Z Test for Correlation 5 minutes
Spearman’s Rank-Order Correlation 5 minutes
Point Biserial Correlation 7 minutes
Cross Tabulation and Categorical Data Formats 6 minutes
Calculating the Chi Square Statistic 8 minutes
Measures of Association 9 minutes

1 assignment Total 60 minutes

Correlation and Association 60 minutes

1 discussion prompt Total 10 minutes

Correlation and Association 10 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 videos Total 70 minutes

Introduction to Two Sample Tests for Independent Data 1 minute
Independent vs Dependent Samples 5 minutes
Two Sample Equal Variance t Test for Means 8 minutes
Two Sample Equal Variance t Test for Means Practice Problem 6 minutes
Two Sample Unequal Variance t Test for Means 4 minutes
Two Sample Unequal Variance t Test for Means Practice Problem 6 minutes
Two Independent Sample F Test for Variances 4 minutes
Two Independent Sample F Test for Variances Practice Problem 5 minutes
The Levene Test for Dispersion and the ADM(n-1) Procedure 7 minutes
Fisher’s Exact Test 5 minutes
Fisher’s Exact Test Example 4 minutes
Two Independent Sample Poisson Rate Test 5 minutes
Two Independent Sample Poisson Rate Test Example 3 minutes
Wilcoxon Mann Whitney Test 5 minutes
Wilcoxon Mann Whitney Test Example 3 minutes

1 assignment Total 60 minutes

Two Sample Tests for Independent Data 60 minutes

1 discussion prompt Total 10 minutes

Two Sample Tests for Independent Data 10 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 videos Total 79 minutes

Introduction to Two Sample Tests for Dependent Data 1 minute
Introduction to Two Sample Dependent Tests 2 minutes
The Repeated Measures t Test 10 minutes
Creating a Scatterplot with an ISO Line 2 minutes
The Repeated Measures t Test Example 5 minutes
The Matched Pairs t Test 6 minutes
The Matched Pairs t Test Example 3 minutes
The Two Sample Dependent t Test for Variances 3 minutes
The Two Sample Dependent t Test for Variances Example 6 minutes
McNemar’s Test for Change 10 minutes
McNemar’s Test for Change Example 4 minutes
The Wilcoxon Signed Ranks Test 5 minutes
Wilcoxon Signed Ranks Test Example 3 minutes
Pre Post Test Introduction 3 minutes
Problem 1 Pre Test Groups 5 minutes
Problem 2 Pre Post Test Group 1 5 minutes
Problem 3 Pre Post Test Group 2 4 minutes
Problem 4 Post Test Groups 3 minutes

1 assignment Total 60 minutes

Two Sample Tests for Dependent Data 60 minutes

1 discussion prompt Total 10 minutes

Two Sample Tests for Dependent Data 10 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 videos Total 62 minutes

Introduction to One Way ANOVA 1 minute
The One Way Analysis of Variance 4 minutes
ANOVA Principles 5 minutes
One Way ANOVA for Means 6 minutes
The ANOVA Source Table 6 minutes
ANOVA Assumptions and Welch's ANOVA 3 minutes
Data Visualization for ANOVA 4 minutes
Statistical Importance 6 minutes
One Way ANOVA for Dispersion 8 minutes
Post Hoc Analysis 6 minutes
Roadmap for the One Way ANOVA Part 1 5 minutes
Roadmap for the One Way ANOVA Part 2 4 minutes
Roadmap for the One Way ANOVA Part 3 4 minutes

1 assignment Total 60 minutes

One Way ANOVA 60 minutes

1 discussion prompt Total 10 minutes

One Way ANOVA 10 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

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

Instructor

Instructor ratings

(5 ratings)

Wendy Martin

University of Colorado Boulder

6 Courses 11,787 learners

Offered by

University of Colorado Boulder

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.