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    • Statistical Inference

    Statistical Inference Courses Online

    Study statistical inference for drawing conclusions from data. Learn about estimation, hypothesis testing, and confidence intervals.

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    Explore the Statistical Inference Course Catalog

    • C

      Coursera Project Network

      Essential Causal Inference Techniques for Data Science

      Skills you'll gain: Regression Analysis, Data Science, Statistical Machine Learning, Data-Driven Decision-Making, R Programming, Statistical Inference, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      J

      Johns Hopkins University

      Systems Thinking In Public Health

      Skills you'll gain: Systems Thinking, Health Systems, Health Policy, Public Health, Policy Analysis, Policy Development, Simulations, Systems Analysis, Qualitative Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      930 reviews

      Mixed · Course · 1 - 4 Weeks

    • Q

      Queen Mary University of London

      Market Research

      Skills you'll gain: Qualitative Research, Proposal Development, Market Research, Research Reports, Data Collection, Research Design, Research Methodologies, Data Analysis, Statistical Hypothesis Testing, Survey Creation, Statistical Analysis, Surveys, Correlation Analysis, Quantitative Research, Research, Science and Research, Market Analysis, Focus Group, Regression Analysis, Content Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      458 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad Católica de Chile

      Análisis Financiero

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Accounting, Income Statement, Financial Analysis, Balance Sheet, Capital Budgeting, Project Finance, Cash Flows, Return On Investment, Financial Modeling, Cash Management, Investment Management, Working Capital, Capital Markets, Equities, Corporate Finance, Bankruptcies, Tax, Financial Policy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      578 reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Advanced Define and Measure Phases

      Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      517 reviews

      Advanced · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI for Medical Prognosis

      Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Machine Learning, Statistical Methods, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      787 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Software, Machine Learning, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      206 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Mastering Software Development in R

      Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      Universidad Nacional Autónoma de México

      Introducción a la inteligencia artificial

      Skills you'll gain: Bayesian Network, Program Development, Computational Logic, Game Theory, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Engineering Software, Markov Model, Software Development, Theoretical Computer Science, Generative AI, Decision Support Systems, Applied Machine Learning, Data Ethics, Problem Management, Social Sciences, Bioinformatics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      585 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      I

      Illinois Tech

      Advanced Statistical Techniques for Data Science

      Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Data Analysis, Data Presentation, Regression Analysis, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Statistical Methods, R Programming, Data Science, Statistical Modeling, Data Manipulation, Data Validation, Feature Engineering, Exploratory Data Analysis

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      37 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    Statistical Inference learners also search

    Statistical Modeling
    Statistical Analysis
    Causal Inference
    Data Modeling
    Predictive Analytics
    Predictive Modeling
    Advanced R Programming
    Beginner Predictive Analytics
    1…242526…152

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

    • Essential Causal Inference Techniques for Data Science: Coursera Project Network
    • Systems Thinking In Public Health: Johns Hopkins University
    • Market Research: Queen Mary University of London
    • Análisis Financiero: Pontificia Universidad Católica de Chile
    • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
    • The Nuts and Bolts of Machine Learning: Google
    • AI for Medical Prognosis : DeepLearning.AI
    • Introduction to AI: Google
    • Mastering Software Development in R: Johns Hopkins University
    • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México

    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.‎

    Online Statistical Inference courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Inference skills. Choose from a wide range of Statistical Inference courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistical Inference, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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