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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
      Free
      A

      Alberta Machine Intelligence Institute

      실용 머신 러닝 소개

      Skills you'll gain: Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Business Priorities, Training Records Management, Data Collection, Business Process, Machine Learning Algorithms, Artificial Intelligence, Data Quality, Performance Metric

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Data Analysis with the FraudFinder Workshop

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Anomaly Detection, Application Deployment, Data Store, Jupyter, Google Cloud Platform, Predictive Modeling, Data Analysis, Data Processing, Data Warehousing, Continuous Monitoring, Statistical Modeling

      Beginner · Project · Less Than 2 Hours

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Inference, Statistical Machine Learning, Statistical Analysis, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Data Compilation, Economics, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Surveys, Bayesian Statistics, Graphing, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • A

      American Psychological Association

      Measures of Correlation and Contingency

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Key Industry 4.0 Technologies in Manufacturing - 2

      Skills you'll gain: Manufacturing Operations, Manufacturing Processes, Cloud Computing, Manufacturing and Production, Augmented and Virtual Reality (AR/VR), Production Process, Internet Of Things, Emerging Technologies, Automation Engineering, Cybersecurity, Blockchain, Artificial Intelligence, Big Data, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Financial Analysis with ARIMA and Time Series Forecasting

      Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Financial Modeling, Trend Analysis, Financial Data, Investment Management, Predictive Modeling, Scikit Learn (Machine Learning Library), Python Programming, Data Analysis, Risk Modeling, Statistical Modeling, Machine Learning, NumPy

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      CASL Programming for Distributed Computing in SAS® Viya®

      Skills you'll gain: Data Manipulation, SAS (Software), Data Validation, Data Analysis, Data Access, Exploratory Data Analysis, Statistical Programming, Distributed Computing, Data Transformation, Cloud Computing Architecture, Data Import/Export, Servers

      Advanced · Course · 1 - 3 Months

    • U

      University of Minnesota

      Social Determinants of Health: Vulnerable Populations

      Skills you'll gain: Health Disparities, Health Equity, Maternal Health, Statistical Analysis, Statistical Software, Box Plots, Economics, Policy, and Social Studies, Health Policy, Social Justice, Public Health and Disease Prevention, Child Health, Socioeconomics, Family Medicine, Statistical Hypothesis Testing, Public Health, Diversity Awareness, Policy Analysis

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Art and Science of Machine Learning 日本語版

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Applied Machine Learning, Performance Tuning, Deep Learning, Machine Learning, Dimensionality Reduction, Google Cloud Platform

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      L

      LearnKartS

      Introduction to AI and Machine Learning

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Natural Language Processing, Amazon Web Services, Supervised Learning, Machine Learning Algorithms, Feature Engineering, Machine Learning, Artificial Neural Networks, Deep Learning, Data Processing, Data Wrangling

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning with Spark on Google Cloud Dataproc

      Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

      Intermediate · Project · Less Than 2 Hours

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

    • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
    • Data Analysis with the FraudFinder Workshop: Google Cloud
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
    • Measures of Correlation and Contingency: American Psychological Association
    • Speed Up Data Analysis and Presentation Building: Google
    • Key Industry 4.0 Technologies in Manufacturing - 2: Board Infinity
    • Financial Analysis with ARIMA and Time Series Forecasting: Packt
    • CASL Programming for Distributed Computing in SAS® Viya®: SAS
    • Social Determinants of Health: Vulnerable Populations: University of Minnesota
    • Art and Science of Machine Learning 日本語版: Google Cloud

    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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