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    • Statistical Inference

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    492 results for "statistical inference"

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      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Statistical Tests, Calculus, Estimation, Mathematics, Business Analysis, Differential Equations, Econometrics, Spreadsheet Software

      4.4

      (138 reviews)

      Intermediate · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: R Programming, Statistical Programming, General Statistics, Statistical Analysis, Data Analysis, Machine Learning, Probability & Statistics, Statistical Tests, Data Science, Machine Learning Software, Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Linear Algebra, Regression, Exploratory Data Analysis, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Probability Distribution, Plot (Graphics), Machine Learning Algorithms, Algorithms, Applied Machine Learning, Business Analysis

      4.4

      (7.1k reviews)

      Intermediate · Specialization · 3-6 Months

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      Johns Hopkins University

      Statistical Inference

      Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Statistical Analysis, Statistical Programming, Statistical Tests, Data Analysis, Basic Descriptive Statistics, Business Analysis, Probability Distribution

      4.2

      (4.4k reviews)

      Mixed · Course · 1-4 Weeks

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      Duke University

      Inferential Statistics

      Skills you'll gain: Data Science, Probability & Statistics, General Statistics, Statistical Tests, Data Analysis, Statistical Analysis, R Programming, Statistical Programming, Business Analysis, Experiment, Probability Distribution

      4.8

      (2.5k reviews)

      Beginner · Course · 1-3 Months

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      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: General Statistics, Probability & Statistics, Statistical Tests

      4.8

      (25 reviews)

      Intermediate · Course · 1-3 Months

    • Free

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      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, R Programming, Statistical Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Statistical Analysis, Bayesian Network, Business Analysis, Experiment, Machine Learning

      4.9

      (751 reviews)

      Intermediate · Course · 1-3 Months

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      University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, Correlation And Dependence, R Programming, Regression, Statistical Programming, Experiment, Basic Descriptive Statistics, Data Analysis, Probability Distribution, Business Analysis, Statistical Analysis

      4.4

      (570 reviews)

      Mixed · Course · 1-3 Months

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      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Calculus, Estimation, Mathematics, Business Analysis, Differential Equations, Econometrics, Spreadsheet Software

      4.2

      (42 reviews)

      Intermediate · Course · 1-3 Months

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      University of Pennsylvania

      A Crash Course in Causality: Inferring Causal Effects from Observational Data

      Skills you'll gain: General Statistics, Probability & Statistics, Econometrics, Forecasting, Business Analysis, Data Analysis, Experiment, Statistical Analysis, R Programming, Statistical Programming, Entrepreneurship, Graph Theory, Machine Learning, Market Research, Marketing, Mathematics, Regression, Research and Design, Statistical Tests

      4.7

      (491 reviews)

      Intermediate · Course · 1-3 Months

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      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Probability & Statistics, General Statistics, Regression, Data Analysis, Experiment, Statistical Analysis, Machine Learning, Business Analysis, Statistical Tests, Theoretical Computer Science, Probability Distribution, Machine Learning Algorithms, Data Management, Statistical Machine Learning, Mathematics, Data Mining, Deep Learning, Econometrics, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Data Warehousing, Correlation And Dependence, Algorithms, Reinforcement Learning, Calculus, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Feature Engineering, Natural Language Processing, Spreadsheet Software, Communication, Computer Programming, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL

      Credit offered

      Graduate Certificate · 6-12 Months

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      Duke University

      Data Analysis with R

      Skills you'll gain: Probability & Statistics, General Statistics, Data Analysis, Statistical Analysis, Regression, R Programming, Statistical Programming, Statistical Tests, Bayesian Statistics, Econometrics, Business Analysis, Probability Distribution, Data Science, Mathematics, Correlation And Dependence, Experiment, Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Basic Descriptive Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization

      4.7

      (6.9k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: General Statistics, Probability & Statistics, Regression, Machine Learning, Machine Learning Algorithms, Econometrics, Bayesian Statistics, Business Analysis, Correlation And Dependence, Data Analysis, Data Analysis Software, Estimation, Experiment, Python Programming, Statistical Analysis

      4.4

      (640 reviews)

      Intermediate · Course · 1-4 Weeks

    Searches related to statistical inference

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    statistical inference and hypothesis testing in data science applications
    improving your statistical inferences
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    In summary, here are 10 of our most popular statistical inference courses

    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Statistical Inference: Johns Hopkins University
    • Inferential Statistics: Duke University
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Improving your statistical inferences: Eindhoven University of Technology
    • Inferential Statistics: University of Amsterdam
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
    • Data Science Graduate Certificate: University of Colorado Boulder

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Linear Regression (12)
    Statistical Analysis (12)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Statistical Inference

    • Statistical inference is the process whereby you can draw conclusions about a population based on random samples of that population and the statistics that you draw from those samples. When you rely on statistical inference, you take what you've observed about your samples of that population and apply them to the group as a whole. Applying statistical inference allows you to take what you know about the population as well as what's uncertain to make statements about the entire population based on your analysis.‎

    • If you want to learn about a certain population—whether they're customers or fellow employees—you can use statistical inference to draw conclusions about that population based on your analysis of data about them. You can't always survey or test an entire population to gain insight, but you can sample the population and make educated assumptions based on the data. Understanding statistical inference allows you to take that data and use it to draw conclusions that make sense and prove true.‎

    • Statistical inference has plenty of benefits for different business sectors. Statisticians and data analysts use this method often to draw conclusions based on samples of populations. If you're in sales or product development, you can use statistical inference to determine which brands or products are popular with your customers or clients. Scientists use statistical inference to test hypotheses and draw conclusions when it's impossible for them to test or sample an entire population. You can apply statistical inference to analyze the data from surveys of any population that you sample.‎

    • Online courses on Coursera give you both a grasp of the concepts of statistical inference and practical applications. You'll learn from the best instructors in the academic world, and you can learn at a pace and schedule that best suits your schedule and lifestyle. When you finish our courses, you'll know how to use statistical inference in your career, which will give you an advantage whether you're trying to get better at your current job or whether you're looking to make a career change.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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