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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

    • M

      Microsoft

      Build and Operate Machine Learning Solutions with Azure

      Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Tensorflow, Continuous Monitoring, Scalability

      3.8
      Rating, 3.8 out of 5 stars
      Ā·
      65 reviews

      Intermediate Ā· Course Ā· 1 - 3 Months

    • U

      Universidad de Palermo

      Cognición, Pensamiento y Lenguaje

      Skills you'll gain: Psychology, Computational Thinking, Systems Thinking, Human Learning, Language Learning, Scientific Methods, Research, Experimentation, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      190 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • T

      The University of Melbourne

      Corporate Financial Decision-Making for Value Creation

      Skills you'll gain: Corporate Finance, Financial Management, Derivatives, Financial Modeling, Mergers & Acquisitions, Capital Budgeting, Business Valuation, Risk Management, Financial Analysis, Equities, Securities (Finance), Financial Forecasting, Due Diligence, Investments, Return On Investment, Capital Markets, Cash Flows

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      474 reviews

      Mixed Ā· Course Ā· 1 - 4 Weeks

    • U

      University of Minnesota

      Simulation Models for Decision Making

      Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Business Mathematics, Microsoft Excel, Operations Research, Complex Problem Solving, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Strategic Thinking, Analysis, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      54 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • K

      Kennesaw State University

      The Measure Phase for the 6 σ Black Belt

      Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Process Capability, Lean Six Sigma, Data Collection, Sampling (Statistics), Probability Distribution, Process Analysis, Descriptive Statistics, Performance Measurement, Quality Improvement, Continuous Quality Improvement (CQI), Statistics, Probability, Systems Of Measurement, Statistical Analysis

      4.3
      Rating, 4.3 out of 5 stars
      Ā·
      51 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    • M

      Microsoft

      AI and Machine Learning Algorithms and Techniques

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Decision Tree Learning, Business Logic, Dimensionality Reduction, Data Modeling, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      27 reviews

      Intermediate Ā· Course Ā· 1 - 3 Months

    • Status: Free
      Free
      C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Dashboard, Business Analytics, Data Quality, Business Intelligence, Data Analysis, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Big Data, Exploratory Data Analysis, Project Management Life Cycle, Job Analysis

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      24 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Status: New
      New
      M

      Microsoft

      Visualization for Data Analysis with Power BI

      Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Geospatial Information and Technology, Root Cause Analysis

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      8 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • W

      Wesleyan University

      Machine Learning for Data Analysis

      Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning, Supervised Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods

      4.2
      Rating, 4.2 out of 5 stars
      Ā·
      324 reviews

      Mixed Ā· Course Ā· 1 - 4 Weeks

    • Status: AI skills
      AI skills
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms, Computer Vision, Theoretical Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      20 reviews

      Intermediate Ā· Specialization Ā· 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Optimize TensorFlow Models For Deployment with TensorRT

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      75 reviews

      Intermediate Ā· Guided Project Ā· Less Than 2 Hours

    • A

      Arizona State University

      Response Surfaces, Mixtures, and Model Building

      Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      67 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    Statistical Inference learners also search

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    1…616263…149

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

    • Build and Operate Machine Learning Solutions with Azure:Ā Microsoft
    • Cognición, Pensamiento y Lenguaje:Ā Universidad de Palermo
    • Corporate Financial Decision-Making for Value Creation:Ā The University of Melbourne
    • Simulation Models for Decision Making:Ā University of Minnesota
    • The Measure Phase for the 6 σ Black Belt:Ā Kennesaw State University
    • AI and Machine Learning Algorithms and Techniques:Ā Microsoft
    • Business Analytics :Ā Campus BBVA
    • Visualization for Data Analysis with Power BI:Ā Microsoft
    • Machine Learning for Data Analysis:Ā Wesleyan University
    • AI and Machine Learning Essentials with Python:Ā University of Pennsylvania

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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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