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    • Statistical Inference

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    501 results for "statistical inference"

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      University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Probability & Statistics, Regression, General Statistics, Business Analysis, Data Analysis, Statistical Analysis, Econometrics, Statistical Tests, R Programming, SQL

      4.3

      (19 reviews)

      Intermediate · Course · 1-3 Months

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      Johns Hopkins University

      Data – What It Is, What We Can Do With It

      Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Basic Descriptive Statistics, Data Visualization, Research and Design

      4.6

      (114 reviews)

      Beginner · Course · 1-4 Weeks

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      Johns Hopkins University

      Regression Models

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

      4.4

      (3.3k reviews)

      Mixed · Course · 1-4 Weeks

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      SAS

      Statistical Thinking for Industrial Problem Solving, presented by JMP

      Skills you'll gain: Business Analysis, Correlation And Dependence, Data Analysis, Exploratory Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Process Analysis, Statistical Tests, Advertising, Communication, Entrepreneurship, Marketing, Regression

      4.8

      (68 reviews)

      Beginner · Course · 1-3 Months

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      Stanford University

      Probabilistic Graphical Models 2: Inference

      Skills you'll gain: Probability & Statistics, Bayesian Network, Machine Learning, Markov Model, Computer Architecture, Distributed Computing Architecture, Applied Machine Learning, Bayesian Statistics, Correlation And Dependence, General Statistics, Other Programming Languages, Probability Distribution, Geovisualization, Machine Learning Algorithms, Statistical Machine Learning

      4.6

      (479 reviews)

      Advanced · Course · 1-3 Months

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      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: General Statistics, Probability & Statistics, Regression

      4.5

      (30 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Databricks

      Introduction to PyMC3 for Bayesian Modeling and Inference

      Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Probability Distribution, Python Programming

      3.8

      (16 reviews)

      Beginner · Course · 1-4 Weeks

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      Databricks

      Bayesian Inference with MCMC

      Skills you'll gain: General Statistics, Probability & Statistics, Bayesian Statistics

      3.1

      (18 reviews)

      Beginner · Course · 1-4 Weeks

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      Johns Hopkins University

      Quantifying Relationships with Regression Models

      Skills you'll gain: General Statistics, Probability & Statistics, Regression, Research and Design, Correlation And Dependence, Statistical Analysis

      4.7

      (16 reviews)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Machine Learning, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Computer Programming, Python Programming, Statistical Programming, Theoretical Computer Science, Tensorflow, Algorithms, Data Management, Data Structures, Probability & Statistics, General Statistics, Statistical Machine Learning, Computer Vision, Mathematics, Probability Distribution, Computational Logic, Linear Algebra, Mathematical Theory & Analysis

      4.9

      (2k reviews)

      Beginner · Course · 1-4 Weeks

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      Free

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Probability & Statistics, Bayesian Statistics, General Statistics, Probability Distribution, Data Science, Statistical Programming, R Programming, Regression, Forecasting, Machine Learning, Markov Model, Statistical Machine Learning, Bayesian Network, Basic Descriptive Statistics, Estimation, Experiment, Correlation And Dependence, Data Visualization, Machine Learning Algorithms, Statistical Tests, Statistical Visualization, Advertising, Business Analysis, Communication, Data Analysis, Graph Theory, Marketing, Mathematics, Statistical Analysis

      4.6

      (3.3k reviews)

      Intermediate · Specialization · 3-6 Months

    Searches related to statistical inference

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    inferential statistics
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    In summary, here are 10 of our most popular statistical inference courses

    • Modern Regression Analysis in R: University of Colorado Boulder
    • Data – What It Is, What We Can Do With It: Johns Hopkins University
    • Regression Models: Johns Hopkins University
    • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Introduction to PyMC3 for Bayesian Modeling and Inference: Databricks
    • Bayesian Inference with MCMC: Databricks
    • Quantifying Relationships with Regression Models: Johns Hopkins University
    • Advanced Learning Algorithms: DeepLearning.AI

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    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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