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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

    • T

      Technion - Israel Institute of Technology

      Action-Driven Business Plan: From the ‘Classroom’ to the World

      Skills you'll gain: Business Planning, Entrepreneurship, Market Research, Business Strategies, Market Analysis, Financial Modeling, Business Development, Video Production, Project Planning, Product Development, Presentations, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      336 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Portfolio Diversification using Correlation Matrix

      Skills you'll gain: Portfolio Management, Financial Management, Risk Management, Investment Management, Financial Market, Financial Modeling, Investments, Correlation Analysis, Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      277 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Politecnico di Milano

      Water: an essential resource

      Skills you'll gain: Water Resources, Environmental Engineering, Sanitation, Environmental Monitoring, Civil Engineering, Environment and Resource Management, Environmental Science, Chemical Engineering, Pollution Prevention, Human Centered Design, Risk Analysis, Continuous Monitoring, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Machine Learning Rock Star – the End-to-End Practice

      Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, Technical Management, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Business Leadership, Performance Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      188 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      How Diffusion Models Work

      Skills you'll gain: Generative AI, Jupyter, PyTorch (Machine Learning Library), Image Analysis, Sampling (Statistics), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      256 reviews

      Intermediate · Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Ideal Gases

      Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Engineering Calculations, Mechanics, Semiconductors, Physical Science, Physics, Numerical Analysis, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      142 reviews

      Advanced · Course · 1 - 4 Weeks

    • A

      Arizona State University

      Semiconductor Packaging Manufacturing

      Skills you'll gain: Statistical Process Controls, Process Control, Quality Assurance, Semiconductors, Verification And Validation, Manufacturing Operations, Manufacturing Processes, Manufacturing Standards, Process Analysis, Product Testing, Thermal Management, Electronics Engineering, Electronics, Reliability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      GenAI Basics - How LLMs Work

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Machine Learning, Artificial Intelligence, Data Processing, Data Science, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      UNSW Sydney (The University of New South Wales)

      How to Validate your Startup Idea

      Skills you'll gain: Entrepreneurship, Financial Modeling, Financial Statements, Value Propositions, Financial Forecasting, Growth Strategies, New Product Development, Business Planning, Business Modeling, Market Opportunities, Investment Management, Lean Methodologies, Strategic Partnership, Persona Development, Customer Analysis, Presentations

      4.2
      Rating, 4.2 out of 5 stars
      ·
      148 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Stock Valuation with Dividend Discount Model

      Skills you'll gain: Equities, Business Valuation, Market Data, Financial Analysis, Financial Modeling, Financial Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      182 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      B

      Ball State University

      Statistical Methods for Data Science

      Skills you'll gain: Probability, Probability Distribution, Statistical Methods, Statistical Inference, Bayesian Statistics, Statistical Analysis, Statistical Modeling, R Programming, Statistical Hypothesis Testing, Sampling (Statistics), Dimensionality Reduction, Statistical Visualization

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    Statistical Inference learners also search

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    1…727374…149

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

    • Action-Driven Business Plan: From the ‘Classroom’ to the World: Technion - Israel Institute of Technology
    • Portfolio Diversification using Correlation Matrix: Coursera Project Network
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • Water: an essential resource: Politecnico di Milano
    • Machine Learning Rock Star – the End-to-End Practice: SAS
    • How Diffusion Models Work: DeepLearning.AI
    • Ideal Gases: University of Colorado Boulder
    • Semiconductor Packaging Manufacturing : Arizona State University
    • GenAI Basics - How LLMs Work: Duke University
    • How to Validate your Startup Idea: UNSW Sydney (The University of New South Wales)

    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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