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.
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Results for "box plots"

  • Coursera Project Network

    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

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview

    Codio

    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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Codio

    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

    Beginner · Course · 1 - 3 Months

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