Descriptive Statistics

Descriptive Statistics is a branch of statistics that deals with the organization, summarization, and interpretation of quantitative data. Coursera's Descriptive Statistics catalogue teaches you how to effectively analyze and interpret data using statistical techniques. You'll learn about measures of central tendency, dispersion, skewness, and kurtosis. Additionally, you'll understand how to create and interpret data visualizations such as histograms, box plots, and scatter plots. This skill is essential for roles in data analysis, market research, social sciences, and any field that requires data-driven decision making.
48credentials
6online degrees
142courses

Explore the Descriptive Statistics Course Catalog

  • Status: New
    Status: Free Trial

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

  • Status: New
    Status: Preview

    Skills you'll gain: Data Integration, Data Analysis, Data Mining, Data-Driven Decision-Making, Data Modeling, Data Governance, Business Analytics, Data Visualization, Statistical Analysis, Dashboard, Data Warehousing, Data Storage, Data Security, Data Quality, Descriptive Statistics, Data Cleansing, Data Integrity, Relational Databases, Machine Learning

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Structures, Time Series Analysis and Forecasting, Pandas (Python Package), Unsupervised Learning, Data Analysis, Data Manipulation, Descriptive Statistics, Data Processing, Data Cleansing, Programming Principles, Data Visualization, Python Programming, Algorithms

  • Status: New

    Clemson University

    Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Descriptive Statistics, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Predictive Modeling, Machine Learning, Supervised Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

  • 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: 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: 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: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

  • 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

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