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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 Colorado Boulder

      Developing Industrial Internet of Things

      Skills you'll gain: Machine Learning Algorithms, Real-Time Operating Systems, Big Data, Product Development, Internet Of Things, Analytics, Embedded Systems, File Systems, New Product Development, Data Analysis, Debugging, Machine Learning, General Networking, Telecommunications, Model Based Systems Engineering, IBM Cloud, Electronic Systems, Wireless Networks, Failure Analysis, Simulation and Simulation Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      803 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad Católica de Chile

      Evaluación de Proyectos de Inversión

      Skills you'll gain: Financial Analysis, Capital Budgeting, Project Finance, Return On Investment, Financial Modeling, Investment Management, Cash Flows, Feasibility Studies, Risk Analysis, Business Strategy, Strategic Decision-Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      460 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data and Health Indicators in Public Health Practice

      Skills you'll gain: Epidemiology, Public Health, Health Policy, Health Care, Infectious Diseases, Health Information Management, Data Analysis, Program Evaluation, Data Collection, Descriptive Analytics, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Machine Learning Software, Continuous Deployment, Machine Learning, Continuous Integration, Continuous Monitoring, Automation, Software Development Methodologies

      4
      Rating, 4 out of 5 stars
      ·
      461 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      New Venture Finance: Startup Funding for Entrepreneurs

      Skills you'll gain: Entrepreneurial Finance, Sales Presentation, Entrepreneurship, Capital Markets, Finance, Fundraising, Private Equity, Business Valuation, Contract Negotiation, Financial Modeling, Investments, Due Diligence, Business Planning, Cash Flows, Presentations, Storytelling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      476 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      CertNexus

      CertNexus Certified Artificial Intelligence Practitioner

      Skills you'll gain: Data Ethics, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Linear Algebra, Applied Machine Learning, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Productivity, Registration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      268 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of California, Davis

      Big Data, Artificial Intelligence, and Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      601 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Thermodynamics

      Skills you'll gain: Chemical Engineering, Quantitative Research, Chemistry, Thermal Management, Mechanics, Mathematical Software, Engineering Analysis, Numerical Analysis, Engineering Calculations, Statistical Methods, Differential Equations, Physics, Probability Distribution, Mathematical Modeling, Semiconductors, Applied Mathematics, Simulation and Simulation Software, Simulations, Physical Science, Estimation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1K reviews

      Advanced · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Applying Machine Learning to your Data with Google Cloud

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Supervised Learning, Predictive Modeling, Deep Learning, Natural Language Processing, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Data Analytics in the Public Sector with R

      Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, Data Analysis, Tidyverse (R Package), Statistical Visualization, R Programming, Statistical Methods, Public Policies, Data Visualization Software, Demography, Political Sciences, Public Administration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74 reviews

      Intermediate · Specialization · 3 - 6 Months

    Statistical Inference learners also search

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    Predictive Modeling
    Advanced R Programming
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    1…394041…149

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

    • Developing Industrial Internet of Things: University of Colorado Boulder
    • Evaluación de Proyectos de Inversión: Pontificia Universidad Católica de Chile
    • Data and Health Indicators in Public Health Practice: Johns Hopkins University
    • Foundations of AI and Machine Learning: Microsoft
    • Machine Learning Operations (MLOps): Getting Started: Google Cloud
    • New Venture Finance: Startup Funding for Entrepreneurs: University of Maryland, College Park
    • CertNexus Certified Artificial Intelligence Practitioner: CertNexus
    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
    • Big Data, Genes, and Medicine: The State University of New York
    • Statistical Thermodynamics: University of Colorado Boulder

    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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