Statistical Visualization

Statistical Visualization is the practice of representing complex data sets graphically to simplify and convey insights effectively. Coursera's Statistical Visualization skill catalogue teaches you how to leverage various visual representation techniques to communicate data-driven findings persuasively. You'll learn to interpret various graphical representations like scatter plots, bar graphs, pie charts, heat maps, and more. You'll also gain proficiency in using statistical visualization tools and software like Tableau, PowerBI, and R for creating interactive dashboards and reports. Sharpen your ability to make data-driven decisions by understanding data distribution, correlation, and trends through visual depictions in any industry or research field.
25credentials
2online degrees
68courses

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Results for "statistical visualization"

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Ggplot2, Statistical Reporting, Data Wrangling, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Transformation, Data Import/Export, Rmarkdown, Graphing

    5
    Rating, 5 out of 5 stars
    34 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Microsoft

    Skills you'll gain: Data Storytelling, Data Presentation, Power BI, Data Visualization Software, Data Visualization, Interactive Data Visualization, Statistical Visualization, Dashboard, Data-Driven Decision-Making, Business Intelligence, Pivot Tables And Charts, Data Analysis, Scatter Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    86 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview

    Coursera Instructor Network

    Skills you'll gain: Seaborn, Data Storytelling, Statistical Visualization, Data Visualization, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    University of Pittsburgh

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Packt

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Advanced Analytics, Statistical Programming, Statistical Software, Statistical Visualization, Data Visualization, Data Manipulation, Correlation Analysis, Predictive Modeling, Descriptive Statistics, Statistical Hypothesis Testing

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial

    Tableau Learning Partner

    Skills you'll gain: Data Visualization Software, Spatial Data Analysis, Tableau Software, Data Storytelling, Data Visualization, Statistical Visualization, Interactive Data Visualization, Data Presentation, Geospatial Information and Technology, Stakeholder Communications, Geospatial Mapping, Business Reporting, Data Analysis, Business Analytics

    4.9
    Rating, 4.9 out of 5 stars
    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Michigan

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

    4.7
    Rating, 4.7 out of 5 stars
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

    4.9
    Rating, 4.9 out of 5 stars
    79 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Michigan

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

    4.6
    Rating, 4.6 out of 5 stars
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Data Visualization, Data Visualization Software, Statistical Visualization, Data Presentation, Data Storytelling, Tableau Software, Exploratory Data Analysis, Data Analysis, Descriptive Analytics

    3.9
    Rating, 3.9 out of 5 stars
    20 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks