Box Plots

A Box Plot is a statistical graph that is used to depict groups of numerical data through their quartiles. Coursera's Box Plots skill catalogue teaches you about the fundamentals and applications of this impressive data visualization tool. You'll learn how to construct box plots, interpret data from box plots, and understand complex data distributions to identify outliers and variances. This will help you develop your analytical thinking skills, enhance your data interpretation abilities, and make informed decisions based on statistical data. You'll also be equipped to apply these skills in fields such as data science, research analysis, and business intelligence.
12credentials
1online degree
34courses

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Results for "box plots"

  • Status: Preview

    University of Leeds

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution

  • Status: Preview

    Skills you'll gain: Matplotlib, Plot (Graphics), Statistical Visualization, Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Scatter Plots, Jupyter, Histogram, Box Plots, Graphing, Computer Programming, Integrated Development Environments, Animations

  • Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation

  • Status: Free Trial

    Skills you'll gain: Health Disparities, Social Determinants Of Health, Health Equity, Maternal Health, Statistical Software, Box Plots, Data Analysis, Health Policy, Child Health, Socioeconomics, Health Informatics, Statistical Hypothesis Testing, Public Health, Data Visualization, Diversity Awareness, Policy Analysis

  • Status: Free Trial

    Skills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science

  • Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Data Analysis, Data Visualization, R (Software), Box Plots, Statistical Methods, Data Manipulation, Probability, Statistical Analysis, Histogram