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.

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

Results for "Descriptive Statistics"

  • Meta

    Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    409 reviews

    Beginner · Course · 1 - 3 Months

  • Google

    Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    908 reviews

    Advanced · Course · 1 - 3 Months

  • Rice University

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Data Presentation, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New

    Coursera

    Skills you'll gain: Dashboard Creation, Data Preprocessing, Dashboard, Descriptive Statistics, Exploratory Data Analysis, Pandas (Python Package), Data Presentation, SQL, Data Analysis, Data Wrangling, Tableau Software, Feature Engineering, Statistical Visualization, Data Cleansing, Analytical Skills, Data Visualization, Data Validation, Data Warehousing, Data Visualization Software, Data Analysis Software

    Beginner · Specialization · 3 - 6 Months

  • Stanford University

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Analysis, Statistical Machine Learning, Statistical Visualization, Data Collection, Probability Distribution, Correlation Analysis

    4.6
    Rating, 4.6 out of 5 stars
    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • O.P. Jindal Global University

    Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Probability, Classification And Regression Tree (CART), Big Data

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: New

    Coursera

    Skills you'll gain: Descriptive Statistics, Data Analysis, Tableau Software, Statistical Visualization, Statistical Reporting, Business Analytics, Descriptive Analytics, Exploratory Data Analysis, Data Visualization, Data Storytelling, Dashboard Creation, Plot (Graphics), Seaborn, Dashboard, Data Presentation, Matplotlib, Analysis, Statistical Analysis, Data-Driven Decision-Making, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Imperial College London

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Science and Research, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Analysis, R Programming, Descriptive Analytics, Descriptive Statistics, Statistical Software, Statistical Modeling, Biostatistics, Quantitative Research, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, R (Software)

    4.7
    Rating, 4.7 out of 5 stars
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New

    Coursera

    Skills you'll gain: Exploratory Data Analysis, Dashboard Creation, Dashboard, Descriptive Statistics, Correlation Analysis, Business Metrics, Data Presentation, Scatter Plots, Data Analysis, Key Performance Indicators (KPIs), Tableau Software, Statistical Visualization, Data Visualization, Statistical Reporting, Business Analytics, Descriptive Analytics, Data Visualization Software, Data Analysis Software, Data Processing, Data Architecture

    Intermediate · Specialization · 3 - 6 Months

  • University of Colorado Boulder

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, R (Software), Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Statistical Software, Microsoft Excel, Statistics, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    49 reviews

    Beginner · Specialization · 3 - 6 Months

  • Google

    Skills you'll gain: Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Modeling, Data Cleansing, Data Structures, Interviewing Skills, NumPy, Professional Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    12K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: New

    Sage Publications

    Skills you'll gain: Surveys, Survey Creation, Qualitative Research, Research Design, Descriptive Statistics, Statistical Hypothesis Testing, Research, Correlation Analysis, Quantitative Research, Experimentation, Scientific Methods, Statistical Methods, Probability & Statistics, Science and Research, Data Analysis, Statistical Analysis, Statistics, Research Methodologies, Statistical Inference, Psychology

    Beginner · Specialization · 3 - 6 Months