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: New
    Status: Free Trial

    Skills you'll gain: Matplotlib, Data Storytelling, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Scatter Plots, Data Processing, Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Pandas (Python Package), Image Quality, Data Visualization Software, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Interactive Data Visualization, Pivot Tables And Charts, Data Visualization, Data Presentation, Data-Driven Decision-Making, Microsoft Excel, Correlation Analysis, Forecasting, Regression Analysis, Excel Formulas, Statistics, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Business Analytics, Statistical Inference, Box Plots, Statistical Analysis, Statistical Modeling, Statistical Visualization

  • Status: New
    Status: Free Trial

    Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming

  • Status: New
    Status: Free Trial

    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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Matplotlib, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Data Processing, Histogram, Data Analysis, Scatter Plots, Exploratory Data Analysis, Pandas (Python Package), Software Installation

  • Status: Free Trial

    Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Presentation, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots, Python Programming

What brings you to Coursera today?

  • Status: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

  • Status: New
    Status: Free Trial

    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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Data Visualization, Descriptive Statistics, Bayesian Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Software, Probability & Statistics, Matplotlib, Statistical Analysis, Statistics, Data Analysis, Box Plots, Statistical Programming, Python Programming

  • Status: Free Trial

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, Data Import/Export, R Programming, Python Programming

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Dashboard, Ggplot2, Plot (Graphics), Shiny (R Package), R Programming, Leaflet (Software), Data Analysis, Scatter Plots, Box Plots, Data Science, Spatial Data Analysis, Histogram, UI Components, User Interface (UI)

What brings you to Coursera today?

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