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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

    • U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Algorithms, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      959 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad de los Andes

      Introducción a la inteligencia artificial contemporánea

      Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Supervised Learning, Deep Learning, Algorithms, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Application of AI, InsurTech, and Real Estate Technology

      Skills you'll gain: FinTech, Financial Services, Emerging Technologies, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML), Real Estate, Insurance, Artificial Intelligence, Investment Management, Asset Management, Market Trend, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      555 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Utrecht University

      Clinical Epidemiology

      Skills you'll gain: Epidemiology, Biostatistics, Clinical Research, Medical Science and Research, Clinical Trials, Patient Evaluation, Public Health, Patient Treatment, Predictive Modeling, Analysis, Risk Modeling, Statistical Modeling, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      356 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      Doing More with SAS Programming

      Skills you'll gain: SAS (Software), Data Manipulation, Consolidation, Data Transformation, Data Processing, Data Analysis, Data Presentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      939 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Ciencia de datos​

      Skills you'll gain: Data Ethics, Data Integration, Exploratory Data Analysis, Statistical Hypothesis Testing, Predictive Modeling, Correlation Analysis, Data Visualization Software, Classification And Regression Tree (CART), Data Quality, Data Science, Jupyter, Data Analysis, Data Transformation, Data Cleansing, Business Analytics, Data Manipulation, Supervised Learning, Statistical Analysis, Regression Analysis, Applied Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      509 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      V

      Vanderbilt University

      Case Studies in Personalized Medicine

      Skills you'll gain: Precision Medicine, Medical Science and Research, Health Informatics, Biostatistics, Electronic Medical Record, Healthcare Ethics, General Medicine, Clinical Research, Probability & Statistics, Statistical Analysis, Molecular Biology, Pharmacology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      496 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Finanzas Corporativas

      Skills you'll gain: Financial Statement Analysis, Financial Modeling, Corporate Finance, Financial Management, Financial Analysis, Income Statement, Balance Sheet, Capital Budgeting, Risk Analysis, Risk Management, Investment Management, Financial Forecasting, Cash Flows, Return On Investment, Microsoft Excel

      4.7
      Rating, 4.7 out of 5 stars
      ·
      506 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Business Analytics, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Advanced Analyze Phase

      Skills you'll gain: Statistical Hypothesis Testing, Six Sigma Methodology, Lean Six Sigma, Process Improvement, Process Analysis, Statistical Methods, Statistical Analysis, Statistics, Data Analysis, Analytical Skills, Variance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      950 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Minnesota

      Statistical Molecular Thermodynamics

      Skills you'll gain: Physics, Thermal Management, Chemistry, Physical Science, Engineering Analysis, Applied Mathematics, Calculus, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      357 reviews

      Beginner · Course · 1 - 3 Months

    Statistical Inference learners also search

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    1…363738…149

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

    • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
    • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
    • Application of AI, InsurTech, and Real Estate Technology: University of Pennsylvania
    • Clinical Epidemiology: Utrecht University
    • Doing More with SAS Programming: SAS
    • Ciencia de datos​: Universidad de los Andes
    • Case Studies in Personalized Medicine: Vanderbilt University
    • Finanzas Corporativas: Universidad Austral
    • Hypothesis Testing with Python and Excel: Tufts University
    • Microsoft Data Visualization: Microsoft

    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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