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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
      C

      Codio

      Data Analysis in Python

      Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Visualization, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Data Science, Python Programming, Computational Logic

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Untersuchen und Erstellen von Daten für Unternehmen

      Skills you'll gain: Data Literacy, Data Presentation, Microsoft Excel, Sampling (Statistics), Statistics, Descriptive Statistics, Statistical Analysis, Data Analysis, Statistical Inference, Probability & Statistics, Probability Distribution

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      MLOps in R: Deploying machine learning models using vetiver

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Docker (Software), Application Programming Interface (API)

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Machine Learning and its Applications

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Data Cleansing, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Scalability, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Verbal Mastery: Grammar, RC, Reasoning for Exams & Job Tests

      Skills you'll gain: Problem Solving, Vocabulary, Analytical Skills, Critical Thinking, English Language, Grammar, Literacy, Learning Strategies, Verbal Communication Skills, Decision Making, Time Management

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started - 한국어

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Cloud Solutions, Automation, Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      N

      Northeastern University

      NLP in Engineering: Concepts & Real-World Applications

      Skills you'll gain: Natural Language Processing, Data Ethics, Deep Learning, Artificial Neural Networks, Machine Learning, Supervised Learning, Machine Learning Algorithms

      Mixed · Course · 1 - 4 Weeks

    • P

      Packt

      Recommender Systems: An Applied Approach using Deep Learning

      Skills you'll gain: Deep Learning, Tensorflow, Data Processing, AI Personalization, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, System Design and Implementation, Matplotlib

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Cloud: Platform as a Service - Bachelor's

      Skills you'll gain: Serverless Computing, Containerization, Platform As A Service (PaaS), Cloud Security, Cloud Services, Docker (Software), Information Management, Cloud Computing Architecture, Cloud Computing, Cloud Infrastructure, Public Cloud, Database Management, DevOps, Machine Learning Software, Microservices, Scalability, Machine Learning

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      O

      O.P. Jindal Global University

      Econometrics - Theory and Practice

      Skills you'll gain: Econometrics, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Quantitative Research, Statistical Methods, Stata, Time Series Analysis and Forecasting, Correlation Analysis, Statistical Inference, Statistical Analysis, Probability & Statistics, Data Manipulation, Probability Distribution

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Introduction to FinTech Using R

      Skills you'll gain: Shiny (R Package), FinTech, Financial Market, R Programming, Financial Forecasting, Asset Management, Financial Modeling, Financial Analysis, Market Trend, Artificial Intelligence, Web Applications, Portfolio Management, Time Series Analysis and Forecasting, Application Development, Algorithms

      Beginner · Course · 1 - 4 Weeks

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    1…142143144…152

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

    • Data Analysis in Python: Codio
    • Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign
    • MLOps in R: Deploying machine learning models using vetiver: Coursera Project Network
    • Machine Learning and its Applications: University of Glasgow
    • Machine Learning with PySpark: Edureka
    • Verbal Mastery: Grammar, RC, Reasoning for Exams & Job Tests: Board Infinity
    • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
    • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
    • Recommender Systems: An Applied Approach using Deep Learning: Packt
    • Cloud: Platform as a Service - Bachelor's: Illinois Tech

    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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