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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 Colorado Boulder

      Expressway to Data Science: R Programming and Tidyverse

      Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, Data Import/Export, Data Analysis, Data Wrangling, Data Manipulation, Data Visualization Software, Data Science, Data Storytelling, Statistical Analysis, Relational Databases, Data Cleansing, Data Transformation, Statistical Programming, Statistical Reporting, Data Integration, Software Installation, Debugging

      4.1
      Rating, 4.1 out of 5 stars
      Ā·
      52 reviews

      Beginner Ā· Specialization Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Intel

      IntelĀ® AI Fundamentals

      Skills you'll gain: Artificial Intelligence, Business Technologies, Complex Problem Solving, Digital Transformation, Technology Strategies, Artificial Intelligence and Machine Learning (AI/ML), Business Intelligence, Strategic Thinking, Real Time Data, Solution Sales Engineering, Technology Solutions, Generative AI, Emerging Technologies, Automation, Customer Success Management, Deep Learning, Machine Learning, Hardware Architecture, Computer Hardware, Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      Ā·
      70 reviews

      Beginner Ā· Specialization Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

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

      Mixed Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      87 reviews

      Intermediate Ā· Specialization Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

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

      Beginner Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Visual Analytics

      Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Data Access, Business Reporting

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

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Construct Stock Market Indices

      Skills you'll gain: Market Data, Google Sheets, Data Import/Export, Equities, Financial Modeling, Financial Analysis, Financial Market

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

      Advanced Ā· Guided Project Ā· Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Exam

      Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

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

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • U

      UniversitĆ  Bocconi

      A Scientific Approach to Innovation Management

      Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      78 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    • D

      DeepLearning.AI

      IA Para Todos (PortuguĆŖs)

      Skills you'll gain: Business Strategies, Business Strategy, Artificial Intelligence, Data Ethics, Team Building, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning, Data Modeling, Business Transformation, Business Operations

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

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Y

      Yonsei University

      Deep Learning for Business

      Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Business Strategy, Image Analysis, Natural Language Processing, Artificial Intelligence, Machine Learning, Reinforcement Learning, Unsupervised Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      Ā·
      680 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • N

      National Taiwan University

      Operations Research (3): Theory

      Skills you'll gain: Operations Research, Network Model, Statistical Machine Learning, Applied Mathematics, Mathematical Modeling, Machine Learning, Transportation Operations, Process Optimization, Advanced Mathematics, Linear Algebra, Algorithms

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

      Advanced Ā· Course Ā· 1 - 3 Months

    Statistical Inference learners also search

    Statistical Modeling
    Statistical Analysis
    Causal Inference
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    Predictive Analytics
    Predictive Modeling
    Advanced R Programming
    Beginner Predictive Analytics
    1…535455…152

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

    • Expressway to Data Science: R Programming and Tidyverse:Ā University of Colorado Boulder
    • IntelĀ® AI Fundamentals:Ā Intel
    • Dealing With Missing Data:Ā University of Maryland, College Park
    • Computer Vision for Engineering and Science:Ā MathWorks
    • Sampling People, Networks and Records:Ā University of Michigan
    • Getting Started with SAS Visual Analytics :Ā SAS
    • Construct Stock Market Indices:Ā Coursera Project Network
    • Meta Marketing Science Certification Exam:Ā Meta
    • A Scientific Approach to Innovation Management:Ā UniversitĆ  Bocconi
    • IA Para Todos (PortuguĆŖs):Ā DeepLearning.AI

    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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