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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

    • G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • S

      SAS

      Getting Started with SAS Programming

      Skills you'll gain: SAS (Software), Data Import/Export, Data Validation, Data Access, Data Manipulation, Exploratory Data Analysis, Data Analysis, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Melbourne

      Essentials of Corporate Finance

      Skills you'll gain: Financial Analysis, Financial Statement Analysis, Financial Statements, Corporate Finance, Financial Management, Accounting, Financial Systems, Financial Modeling, Investments, Capital Markets, Market Liquidity, Balance Sheet, Derivatives, Financial Market, Income Statement, Financial Data, Business Valuation, International Finance, Mergers & Acquisitions, Capital Budgeting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Mastering Software Development in R

      Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidade Estadual de Campinas

      Revisão Sistemática e Meta-análise

      Skills you'll gain: Data Synthesis, Data Collection, Scientific Methods, Research, Research Design, Research Reports, Research Methodologies, Quantitative Research, Clinical Research, Peer Review, Data Quality, Report Writing, Epidemiology, Statistical Analysis, Qualitative Research, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Quantitative Methods

      Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Michigan

      Survey Data Collection and Analytics

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Surveys, Survey Creation, Research Methodologies, Data Collection, Statistical Analysis, Statistical Software, Interviewing Skills, Data Integration, Data Ethics, Research Design, Stata, R Programming, Data Quality, Statistical Modeling, Qualitative Research, Descriptive Statistics, Statistical Programming, Data Cleansing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Six Sigma Tools for Define and Measure

      Skills you'll gain: Data Collection, Lean Six Sigma, Six Sigma Methodology, Quality Improvement, Process Improvement, Business Process, Project Management, Project Planning, Customer experience improvement, Data Validation, Process Mapping, Statistics, Stakeholder Management, Statistical Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Clinical Trials Operations

      Skills you'll gain: Clinical Data Management, Clinical Trials, Sample Size Determination, Clinical Research, Data Quality, Healthcare Ethics, Quality Assurance, Data Cleansing, Regulatory Compliance, Data Integrity, Data Governance, Microsoft Excel, Statistical Reporting, Data Compilation, Data Collection, Scientific Methods, Biostatistics, Data Sharing, Statistical Analysis, Patient Safety

      4.7
      Rating, 4.7 out of 5 stars
      ·
      500 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IESE Business School

      Corporate Finance Essentials

      Skills you'll gain: Corporate Finance, Capital Budgeting, Financial Modeling, Financial Analysis, Financial Market, Return On Investment, Investments, Business Valuation, Portfolio Management, Cost Accounting, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

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    1…192021…151

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

    • Production Machine Learning Systems: Google Cloud
    • Getting Started with SAS Programming: SAS
    • Essentials of Corporate Finance: The University of Melbourne
    • Mastering Software Development in R: Johns Hopkins University
    • Revisão Sistemática e Meta-análise: Universidade Estadual de Campinas
    • Quantitative Methods: University of Amsterdam
    • Survey Data Collection and Analytics: University of Michigan
    • Six Sigma Tools for Define and Measure: Kennesaw State University
    • Clinical Trials Operations: Johns Hopkins University
    • Introduction to Computer Vision and Image Processing: IBM

    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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