Sampling (Statistics)

Sampling is a fundamental method in statistics that involves selecting a subset from within a statistical population to estimate characteristics of the whole population. Coursera's Sampling catalogue teaches you the principles of data collection, survey design and how to apply sampling techniques to collect and analyze data effectively. You'll learn the basics of random sampling, stratified sampling, cluster sampling and systematic sampling. Master techniques for estimating population parameters and assess sampling errors. Whether you're a statistician, data scientist, market researcher or a student specializing in data-related fields, this skill will enable you to make informed decisions based on sample data, improving your statistical analysis and data interpretation capabilities.
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Results for "sampling (statistics)"

  • Status: Free Trial

    Google

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

    4.8
    Rating, 4.8 out of 5 stars
    841 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Data Visualization, Descriptive Statistics, Bayesian Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Software, Probability & Statistics, Matplotlib, Statistical Analysis, Statistics, Data Analysis, Box Plots, Statistical Programming, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial

    University of Amsterdam

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Data Collection, Statistical Analysis, Interviewing Skills, Research Design, STATA (Software), R (Software), Data Integration, Data Ethics, Stata, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Data Cleansing, Statistical Software, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview

    Stanford University

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado Boulder

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

    4.8
    Rating, 4.8 out of 5 stars
    40 reviews

    Beginner · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Preview

    IIMA - IIM Ahmedabad

    Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    291 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    Northeastern University

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Status: AI skills

    Google

    Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Rmarkdown, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, LinkedIn, Dashboard, Data Processing, Interviewing Skills, Professional Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    176K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    2.9K reviews

    Intermediate · Specialization · 1 - 3 Months

What brings you to Coursera today?

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  • University of Colorado Boulder
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