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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

    • D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      47 reviews

      Advanced · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Los portafolios y las inversiones en el mercado de capitales

      Skills you'll gain: Portfolio Management, Investments, Financial Market, Capital Markets, Equities, Risk Analysis, Financial Modeling, Asset Management, Return On Investment, Financial Analysis, Risk Management, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      78 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      American Psychological Association

      Data Exploration in Psychology

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Data Visualization, Statistical Analysis, Statistical Methods, Plot (Graphics), Descriptive Statistics, Histogram, Data Analysis, Box Plots, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Probability & Statistics, Quantitative Research, Statistical Visualization, Statistics, Data Literacy

      Beginner · Specialization · 3 - 6 Months

    • U

      University of London

      The Data Science Profession – Student View

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Data Science, Applied Machine Learning, Data Analysis, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Disease Clusters

      Skills you'll gain: Epidemiology, Community Health, Biostatistics, Public Health, Community Outreach, Health Assessment, Environmental Monitoring, Investigation, Environmental Science, Research Design, Statistical Analysis, Data Collection, Persuasive Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      316 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Infectious Disease Modeling in Practice

      Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Predictive Modeling, Forecasting, Data Analysis, Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Razonamiento artificial

      Skills you'll gain: Bayesian Network, Computational Logic, Game Theory, Artificial Intelligence, Markov Model, Theoretical Computer Science, Decision Support Systems, Logical Reasoning, Deductive Reasoning, Programming Principles, Probability, Verification And Validation, Mathematical Modeling, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      106 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Portfolio Optimization using Markowitz Model

      Skills you'll gain: Portfolio Management, Finance, Financial Modeling, Correlation Analysis, Investment Management, Risk Modeling, Equities, Probability & Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      318 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Microsoft

      Prepare for DP-100: Data Science on Microsoft Azure Exam

      Skills you'll gain: Databricks, Microsoft Azure, Data Science, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Deep Learning, Tensorflow, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      59 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      MathWorks

      Data Processing and Feature Engineering with MATLAB

      Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      345 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Linear Regression with Python

      Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      428 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Computing, Ethics, and Society

      Skills you'll gain: Data Ethics, Security Awareness, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Information Privacy, Media and Communications, Machine Learning, Automation, Cultural Diversity, Personally Identifiable Information, Artificial Intelligence and Machine Learning (AI/ML), Social Justice, Law, Regulation, and Compliance, Emerging Technologies, Health Care

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 3 - 6 Months

    Statistical Inference learners also search

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    1…676869…149

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

    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Los portafolios y las inversiones en el mercado de capitales: Universidad de los Andes
    • Data Exploration in Psychology: American Psychological Association
    • The Data Science Profession – Student View: University of London
    • Disease Clusters: Johns Hopkins University
    • Infectious Disease Modeling in Practice: Johns Hopkins University
    • Razonamiento artificial: Universidad Nacional Autónoma de México
    • Portfolio Optimization using Markowitz Model: Coursera Project Network
    • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
    • Data Processing and Feature Engineering with MATLAB: MathWorks

    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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