Defining, Describing, and Visualizing Data (Coursera)

This specialization 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.

What You Will Learn

- Classify types of data with scales of measurement

- Calculate descriptive statistics and create graphical representations using R software

- Solve problems and make decisions using probability distributions

Syllabus

WEEK 1

Data and Measurement

Upon completion of this module, students will be able to classify types of data using measurement scales.

WEEK 2

Working with Data in RStudio and ROIStat

Upon completion of this module, students will be able to work with datasets in RStudio and ROIStat.

WEEK 3

Describing and Visualizing Data

Upon completion of this module, students will be able to use RStudio and ROIStat to calculate descriptive statistics to describe location, spread, and shape of data and create visual representations of data.

WEEK 4

Determining Probabilities

Upon completion of this module, students will be able to apply the rules and conditions of probability to make decisions and solve problems.

WEEK 5

Making Decisions with Discrete and Continuous Probability Distributions

Upon completion of this module, students will be able to apply both discrete and continuous probability distributions to make decisions and solve problems using RStudio and ROIStat.