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"

  • Status: Free Trial

    IBM

    Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Visualization, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    1.3K reviews

    Advanced · Course · 1 - 3 Months

  • Coursera Project Network

    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

    4.8
    Rating, 4.8 out of 5 stars
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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: 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

  • Status: Free Trial

    Rice University

    Skills you'll gain: Probability & Statistics, Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Case Studies, Statistical Analysis, Quantitative Research, Data Analysis, Correlation Analysis

    4.6
    Rating, 4.6 out of 5 stars
    12 reviews

    Beginner · Course · 1 - 3 Months