Engineering and Business professionals often have access to many sources of data. The best way to way to ensure your data is both valid and reliable is to plan for it ahead of time. Through this class, you will be able to plan for accurate and precise data generation, then use that data for the purpose of estimation and risk reduction related to capital investments.
Data Acquisition, Risk, and Estimation
Data Acquisition, Risk, and Estimation
This course is part of The Data Driven Manager Specialization
Instructor: Wendy Martin
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Create a plan to answer business and engineering questions.
Calculate effect size, power and sample size to reduce risk in decision making.
Distinguish between best- and worst-case scenarios given point and interval estimates.
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 5 modules in this course
Upon completion of this module, students will be able to classify types of sampling used for data acquisition, describe sampling error, and construct random number sequences for sampling.
What's included
12 videos1 reading1 assignment2 discussion prompts
Upon completion of this module, students will be able to calculate point and interval estimates using RStudio and ROIStat.
What's included
9 videos1 assignment1 discussion prompt
Upon completion of this module, students will be able to use point and interval estimates to determine best- and worst-case scenarios.
What's included
9 videos2 assignments1 discussion prompt
Upon completion of this module, students will be able to plan for data acquisition to minimize risk in decision making, including sample size, effect size and power calculations.
What's included
12 videos1 assignment1 discussion prompt
Upon completion of this module, students will be able to use return on investment calculations to determine effect size, sample size and power using RStudio and ROIStat.
What's included
11 videos2 assignments1 discussion prompt
Instructor
Offered by
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