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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

      Increasing Real Estate Management Profits: Harnessing Data Analytics

      Skills you'll gain: Data Visualization Software, Tableau Software, Financial Modeling, Business Process, Peer Review, Business Analysis, Presentations, Property Management, Data Analysis, MySQL, Risk Analysis, Real Estate, Financial Analysis, Microsoft Excel

      4.7
      Rating, 4.7 out of 5 stars
      ·
      242 reviews

      Mixed · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      Incrementar - Parte 2 y Controlar

      Skills you'll gain: Lean Six Sigma, Lean Manufacturing, Statistical Process Controls, Quality Improvement, Quality Control, Continuous Improvement Process, Predictive Modeling, Production Process, Process Improvement, Kanban Principles, Problem Management, Regression Analysis, Root Cause Analysis, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado System

      Applied Kalman Filtering

      Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Advanced Mathematics, Simulations, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Global Positioning Systems, Simulation and Simulation Software, Probability & Statistics, System Implementation, Systems Of Measurement, Statistical Methods, Differential Equations, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Working with BigQuery

      Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      228 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      E

      EDUCBA

      Regression & Forecasting for Data Scientists using Python

      Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Mastering Portfolio Analysis

      Skills you'll gain: Portfolio Management, Financial Analysis, Data Analysis, Risk Management, Quantitative Research, Market Data, Financial Modeling, Investments, Asset Management, Performance Metric

      4.6
      Rating, 4.6 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Developing Explainable AI (XAI)

      Skills you'll gain: Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Introduction to Sensory Science

      Skills you'll gain: Food Quality Assurance And Control, Consumer Behaviour, Product Testing, Nutrition and Diet, Quality Assessment, Marketing Psychology, Scientific Methods, Psychology, Product Development, Medical Science and Research, Neurology, Statistical Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Interventions and Calibration

      Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Statistical Modeling, R Programming, Differential Equations, Statistical Methods, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Genentech

      Data Science with Real World Data in Pharma

      Skills you'll gain: Pharmaceuticals, Clinical Research, Clinical Trials, Statistical Analysis, Real Time Data, Data Analysis, Statistical Methods, Biostatistics, Data Science, Epidemiology, Health Informatics, Healthcare Industry Knowledge, Data Quality

      Intermediate · Course · 1 - 3 Months

    • L

      LearnQuest

      Artificial Intelligence Ethics in Action

      Skills you'll gain: Data Ethics, OpenAI, Artificial Intelligence, Large Language Modeling, Ethical Standards And Conduct, Analytical Skills, Analysis, Machine Learning, Game Theory, Generative AI, Predictive Modeling, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      276 reviews

      Intermediate · Course · 1 - 4 Weeks

    Statistical Inference learners also search

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    1…717273…149

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

    • Increasing Real Estate Management Profits: Harnessing Data Analytics: Duke University
    • Incrementar - Parte 2 y Controlar: Tecnológico de Monterrey
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Applied Kalman Filtering: University of Colorado System
    • Working with BigQuery: Coursera Project Network
    • Regression & Forecasting for Data Scientists using Python: EDUCBA
    • Mastering Portfolio Analysis : Coursera Instructor Network
    • Developing Explainable AI (XAI): Duke University
    • Introduction to Sensory Science: University of California, Davis
    • Interventions and Calibration: Imperial College London

    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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