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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Results for "Descriptive Statistics"

  • 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

  • Skills you'll gain: Statistics, Statistical Inference, Probability & Statistics, Regression Analysis, Statistical Methods, Descriptive Statistics, Statistical Hypothesis Testing, Exploratory Data Analysis, Statistical Modeling, Statistical Analysis, Data Literacy, Data Analysis, Sampling (Statistics), Probability Distribution, Statistical Reporting, Probability, Statistical Visualization, Correlation Analysis

  • 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, Classification And Regression Tree (CART), Probability, Big Data

  • Skills you'll gain: Data Visualization, Statistical Inference, Statistical Hypothesis Testing, Data-Driven Decision-Making, Descriptive Statistics, Statistical Analysis, Statistical Methods, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Box Plots, Time Series Analysis and Forecasting, Data Analysis Software, Statistical Modeling, Advanced Analytics, Financial Forecasting, Probability Distribution, Descriptive Analytics, Variance Analysis, Predictive Modeling

  • University of Colorado Boulder

    Skills you'll gain: Probability Distribution, Exploratory Data Analysis, Probability, Descriptive Statistics, Statistical Modeling, Data Literacy, Statistics, Probability & Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Statistical Inference, Descriptive Analytics, Data Analysis, Diagnostic Tests, Histogram, Box Plots, Bayesian Statistics, Combinatorics, Risk Modeling

  • Indian Institute of Technology Guwahati

    From the course: Introduction to Product Design·Lesson: Untitled Lesson

  • Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis, Statistical Methods

  • 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

  • Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistics, Descriptive Statistics, Probability & Statistics, Microsoft Excel, Data Analysis, Statistical Analysis, Statistical Inference, Statistical Methods, Spreadsheet Software, Excel Formulas, Sampling (Statistics), Data-Driven Decision-Making, Box Plots, Probability Distribution, Descriptive Analytics, Data Visualization, Data Visualization Software, Variance Analysis

  • O.P. Jindal Global University

    From the course: Statistical Methods and Data Analysis·Lesson: Grouped Data

  • From the course: Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions·Lesson: Lesson 2 - Descriptive Statistics Continued

  • From the course: Data Mining of Clinical Databases·Lesson: MIMIC III and Descriptive Analytics