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: Free Trial

    Skills you'll gain: Statistical Analysis, Research, Research Reports, Data Analysis, Research Design, Data Collection, Research Methodologies, Surveys, Qualitative Research, Experimentation, Descriptive Statistics, Survey Creation

  • Status: Free Trial

    American Psychological Association

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Graphing, Variance Analysis, Statistical Visualization, Data Literacy, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Statistical Analysis, STATA (Software), R (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Informed Consent, Information Privacy

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Statistical Analysis, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science

  • Status: Free Trial

    Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Cleansing, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Statistical Modeling, Machine Learning, Statistics

  • Status: Free Trial

    Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming

  • Status: Free Trial

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

  • Status: New
    Status: Free Trial

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Manipulation, Data Processing, Linear Algebra, Software Installation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Cleansing, Data Analysis, Numerical Analysis, Data Structures, Descriptive Statistics

  • Status: Preview

    Universidad de los Andes

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistics, Regression Analysis, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Statistical Modeling, Statistical Inference, Estimation, Applied Mathematics

  • Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics