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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

    • J

      Johns Hopkins University

      Random Processes

      Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

      Mixed · Course · 1 - 4 Weeks

    • C

      CertNexus

      Solve Business Problems with AI and Machine Learning

      Skills you'll gain: Data Ethics, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, Business Solutions, Solution Design, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Machine Learning Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      84 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      S

      Sungkyunkwan University

      Machine Learning Basics

      Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      69 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Columbia University

      Advanced Topics in Derivative Pricing

      Skills you'll gain: Derivatives, Credit Risk, Financial Market, Capital Markets, Futures Exchange, Equities, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Irvine

      The Nature of Data and Relational Database Design

      Skills you'll gain: Decision Support Systems, Database Design, Relational Databases, Database Management, Database Management Systems, SQL, Descriptive Statistics, Data Literacy, Statistics, Business Intelligence, Microsoft Excel, Extract, Transform, Load, Data-Driven Decision-Making, Business Analytics, Data Manipulation, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      101 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Estructura de capital y política de dividendos

      Skills you'll gain: Corporate Finance, Financial Management, Financial Modeling, Investment Management, Business Valuation, Portfolio Management, Financial Analysis, Capital Markets, Risk Analysis, Return On Investment

      3.6
      Rating, 3.6 out of 5 stars
      ·
      329 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      J

      Johns Hopkins University

      Infectious Disease Transmission Models for Decision-Makers

      Skills you'll gain: Health Policy, Epidemiology, Infectious Diseases, Public Health, Policy Analysis, Mathematical Modeling, Statistical Modeling, Biostatistics, Predictive Modeling, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      617 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      New York University

      Overview of Advanced Methods of Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Financial Modeling, Securities (Finance), Artificial Intelligence and Machine Learning (AI/ML), Credit Risk, Machine Learning, Physics

      3.8
      Rating, 3.8 out of 5 stars
      ·
      84 reviews

      Advanced · Course · 1 - 4 Weeks

    • A

      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

      Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Data Modeling, Business Requirements, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      738 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      KI für alle

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Data Ethics, Data Science, Business Analytics, Artificial Neural Networks, Machine Learning, Cross-Functional Collaboration, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Python Data Products for Predictive Analytics

      Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Applied Machine Learning, Interactive Data Visualization, Design Thinking, Advanced Analytics, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Scikit Learn (Machine Learning Library), Application Deployment, Data Science, Data Validation, Verification And Validation, Django (Web Framework), Regression Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      244 reviews

      Intermediate · Specialization · 3 - 6 Months

    • B

      Banco Interamericano de Desarrollo

      Natural Disaster Risk in Infrastructure Projects

      Skills you'll gain: Risk Analysis, Project Risk Management, Risk Management, Mitigation, Business Risk Management, Disaster Recovery, Environmental Resource Management, Civil Engineering, Construction, Statistical Analysis, Vulnerability, Economic Development, Spatial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      160 reviews

      Beginner · Course · 1 - 4 Weeks

    Statistical Inference learners also search

    Statistical Modeling
    Statistical Analysis
    Causal Inference
    Data Modeling
    Predictive Analytics
    Predictive Modeling
    Advanced R Programming
    Beginner Predictive Analytics
    1…596061…149

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

    • Random Processes: Johns Hopkins University
    • Solve Business Problems with AI and Machine Learning: CertNexus
    • Machine Learning Basics: Sungkyunkwan University
    • Advanced Topics in Derivative Pricing: Columbia University
    • The Nature of Data and Relational Database Design: University of California, Irvine
    • Estructura de capital y política de dividendos: Universidad Nacional Autónoma de México
    • Infectious Disease Transmission Models for Decision-Makers: Johns Hopkins University
    • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
    • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
    • KI für alle: 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.‎

    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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