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

    University of Colorado Boulder

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Import/Export, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    44 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    Tableau Learning Partner

    Skills you'll gain: Exploratory Data Analysis, Tableau Software, Data Analysis, Data Visualization, Descriptive Statistics, Predictive Analytics, Data Processing, Box Plots, Statistical Analysis, Data Cleansing, Scatter Plots, Data Visualization Software, Trend Analysis, Analytics, Histogram, Business Analytics, Statistical Methods, Data Manipulation, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    100 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Box Plots, Histogram, Animations, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    20 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Matplotlib, Plotly, Seaborn, Data Visualization Software, Data Visualization, Statistical Visualization, Interactive Data Visualization, Scatter Plots, Box Plots, Heat Maps, Histogram

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Vanderbilt University

    Skills you'll gain: Statistical Methods, Statistical Analysis, Data Visualization, Generative AI, Statistical Hypothesis Testing, Data Presentation, Data Storytelling, Box Plots, Data Analysis, Scatter Plots, Data-Driven Decision-Making, Exploratory Data Analysis, Statistics, Technical Communication, Statistical Inference

    4.8
    Rating, 4.8 out of 5 stars
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Plotly, Plot (Graphics), Data Visualization, Statistical Visualization, Box Plots, Scatter Plots, Interactive Data Visualization, Data Visualization Software, Histogram, Statistical Analysis, Data Analysis, Probability

    4.9
    Rating, 4.9 out of 5 stars
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Coursera

    Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures

    3.9
    Rating, 3.9 out of 5 stars
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Preview

    Coursera

    Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Matplotlib, Statistical Visualization, Seaborn, Data Visualization, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours