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.
36credentials
10online degrees
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Results for "sampling (statistics)"

  • Status: Free Trial

    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

  • Status: Free Trial

    University of Michigan

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

  • Status: New
    Status: Preview

    O.P. Jindal Global University

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

  • Status: Free Trial

    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 Validation, Data Ethics, Data Analysis, Stata, Data Quality, Statistical Modeling, Qualitative Research, Data Cleansing, R Programming

  • Status: Free Trial

    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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Organizational Change, Lean Methodologies, Statistical Hypothesis Testing, Organizational Leadership, Quality Management, Process Improvement, Correlation Analysis, Project Scoping, Data-Driven Decision-Making, Root Cause Analysis, Statistical Analysis, Continuous Improvement Process, Sampling (Statistics), Statistical Methods, Process Analysis, Project Management, Data Literacy

What brings you to Coursera today?

  • Status: New
    Status: Free Trial

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)

  • 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

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Sample Size Determination, Writing, Case Studies, Mathematical Modeling, Scientific Methods, Oral Expression, Correlation Analysis, Communication, Interpersonal Communications, Business Communication, Interactive Learning

  • 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

  • Status: Free Trial

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference