Defining, Describing, and Visualizing Data

This course is part of The Data Driven Manager Specialization

Instructor: Wendy Martin

What you'll 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

    • Skills you'll gain

  •   Data Manipulation
  •   Histogram
  •   Data Analysis
  •   R Programming
  •   Statistical Visualization
  •   Data Literacy
  •   Exploratory Data Analysis
  •   Statistical Analysis
  •   Descriptive Statistics
  •   Probability
  •   Probability Distribution
  •   Data-Driven Decision-Making
  •   Box Plots

    • There are 5 modules in this course

    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.

    Working with Data in RStudio and ROIStat

    Describing and Visualizing Data

    Determining Probabilities

    Making Decisions with Discrete and Continuous Probability Distributions

    Explore more from Data Analysis

    Data Driven Decision Making

    Data Understanding and Visualization

    Leading Oneself with Self-Knowledge

    Data Acquisition, Risk, and Estimation

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