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: New
    Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: Healthcare Ethics, Statistical Analysis, Clinical Research Ethics, Scientific Methods, Clinical Research, Quantitative Research, Regression Analysis, Statistical Methods, Informed Consent, Sampling (Statistics), SPSS, Science and Research, Correlation Analysis, Biostatistics, Statistical Hypothesis Testing, Responsible AI, Probability & Statistics, Technical Writing, Data Collection, Statistical Inference

  • Status: Preview

    Universidad de los Andes

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

  • Status: Free Trial

    University of Alberta

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Methods, Statistical Inference, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Probability Distribution, Descriptive Statistics, Artificial Intelligence

  • Status: Free Trial

    Skills you'll gain: Deductive Reasoning, Probability, Sampling (Statistics), Sample Size Determination, Correlation Analysis, Case Studies, Scientific Methods

  • Status: New
    Status: Free Trial

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Statistical Inference, Data Visualization Software, Correlation Analysis, Microsoft Excel, Probability & Statistics, Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Excel Formulas, Statistical Analysis, Sampling (Statistics), Forecasting, Variance Analysis

  • Status: Free Trial

    University of Maryland, College Park

    Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Regression Analysis, Statistical Inference, Data Analysis

  • Status: Free Trial
    Status: AI skills

    Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Data Visualization, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Descriptive Statistics, Quality Improvement, Process Engineering

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Surveys, Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Probability & Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Correlation Analysis, Statistical Inference, Statistical Hypothesis Testing

  • Status: Free Trial

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution

  • Status: Free Trial

    American Psychological Association

    Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods

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