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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

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Communicating Data Science Results

      Skills you'll gain: Data Ethics, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct

      3.4
      Rating, 3.4 out of 5 stars
      ·
      142 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Query Language and Data Analysis

      Skills you'll gain: Splunk, Dashboard, Data Transformation, Data Manipulation, Data Analysis, Statistical Analysis, Query Languages, Data Visualization Software, Ad Hoc Reporting, Real Time Data, Data Modeling, Continuous Monitoring, Taxonomy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      The Control Phase for the 6 σ Black Belt

      Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Lean Manufacturing, Process Improvement, Process Capability, Quality Improvement, Continuous Improvement Process, Process Analysis, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs

      4.4
      Rating, 4.4 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universiteit Leiden

      Population Health: Study Design

      Skills you'll gain: Data Analysis, Research Design, Epidemiology, Statistical Analysis, Clinical Research, Quantitative Research, Public Health, Health Care, Research Methodologies, Statistics, Risk Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · 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
      ·
      12 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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Data Engineering in AWS

      Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Digital Technology and Social Change

      Skills you'll gain: Digital Transformation, Innovation, Digital Communications, Data Ethics, Machine Learning, Business Transformation, Emerging Technologies, Technology Strategies, OpenAI, Data Storage, Artificial Intelligence, Social Studies, Media and Communications, Digital Assets, Computer Science, Digital Marketing, ChatGPT, Sociology, Social Sciences, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Calculating Descriptive Statistics in R

      Skills you'll gain: Descriptive Statistics, Data Analysis, Box Plots, R Programming, Statistical Analysis, Histogram, Probability & Statistics, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      52 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Analysis & Visualization with Copilot in Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Data Presentation, Data Storytelling, Data Visualization Software, Microsoft Copilot, Statistical Analysis, Data Analysis, Statistical Methods, Data Integration, Data-Driven Decision-Making, Data Cleansing

      3.9
      Rating, 3.9 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Analyze Apple's Stock and Financials with Bloomberg Terminal

      Skills you'll gain: Market Data, Financial Statement Analysis, Financial Data, Equities, Financial Analysis, Data Analysis, Accounting and Finance Software, Financial Modeling, Technical Analysis, Business Analysis, Real Time Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      33 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • M

      Meta

      GenAI in Data Analytics

      Skills you'll gain: Generative AI, Business Analytics, Analytics, Data Quality, Business Analysis, Data Ethics, Prompt Engineering, Process Optimization, OpenAI, Artificial Intelligence, Data Analysis, ChatGPT, Machine Learning, Deep Learning, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…717273…154

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

    • Communicating Data Science Results: University of Washington
    • Splunk Query Language and Data Analysis: EDUCBA
    • The Control Phase for the 6 σ Black Belt: Kennesaw State University
    • Population Health: Study Design: Universiteit Leiden
    • Infectious Disease Modeling in Practice: Johns Hopkins University
    • Data Science with Real World Data in Pharma: Genentech
    • Data Engineering in AWS: Whizlabs
    • Digital Technology and Social Change: University of California, Davis
    • Calculating Descriptive Statistics in R: Coursera Project Network
    • Advanced Data Analysis & Visualization with Copilot in Excel: Microsoft

    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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