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.
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Explore the Descriptive Statistics Course Catalog

  • Coursera

    Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    University of Cape Town

    Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistics, Data Manipulation, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Edureka

    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Packt

    Skills you'll gain: Statistical Visualization, Data Visualization Software, Data Visualization, Scatter Plots, Plot (Graphics), Box Plots, Exploratory Data Analysis, Histogram, Descriptive Statistics, Heat Maps, Graphing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4.1
    Rating, 4.1 out of 5 stars
    38 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    University of Maryland, College Park

    Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Sheets, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Collaborative Software, Descriptive Statistics, Data Presentation, Data Manipulation, Data Management, Cloud Computing

    2.7
    Rating, 2.7 out of 5 stars
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial

    University of London

    Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Presentation, Statistics, Estimation, Probability, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Data Visualization, Data Analysis, Histogram, Graphing

    3.8
    Rating, 3.8 out of 5 stars
    312 reviews

    Mixed · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software

    4.3
    Rating, 4.3 out of 5 stars
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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