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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

    • C

      Coursera Project Network

      NLP: Twitter Sentiment Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      366 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Real Estate Financial Modeling

      Skills you'll gain: Financial Modeling, Financial Forecasting, Real Estate, Forecasting, Cash Flow Forecasting, Commercial Real Estate, Risk Management, Property and Real Estate, Investment Management, Risk Analysis, Investments, Financial Analysis, Return On Investment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      134 reviews

      Advanced · Course · 1 - 3 Months

    • D

      Duke University

      Operationalizing LLMs on Azure

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Microsoft Azure, OpenAI, Risk Management Framework, MLOps (Machine Learning Operations), Software Architecture, Generative AI, Application Deployment, Artificial Intelligence, GitHub, Application Programming Interface (API), Scalability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Quantitative Foundations for International Business

      Skills you'll gain: Business Mathematics, Linear Algebra, Mathematical Modeling, Calculus, Financial Modeling, Algebra, Business Economics, Graphing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      420 reviews

      Mixed · Course · 1 - 4 Weeks

    • A

      American Psychological Association

      Methods for Quantitative Research in Psychology

      Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Research, General Science and Research, Correlation Analysis, Data Collection, Social Sciences, Experimentation, Data Analysis, Psychology, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      155 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Real Estate Development: Building Value in Your Community

      Skills you'll gain: Financial Modeling, Community Development, Real Estate, Feasibility Studies, Financial Analysis, Risk Management, Return On Investment, Commercial Real Estate, Community Outreach, Project Finance, Due Diligence, Property Management, Project Risk Management, Project Design, Capital Markets, Cash Flows, Market Research

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidade de São Paulo

      Econometria Básica Aplicada

      Skills you'll gain: Econometrics, Regression Analysis, Statistical Inference, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Economics, Mathematical Modeling, Time Series Analysis and Forecasting, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      168 reviews

      Intermediate · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      218 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Science, Random Forest Algorithm, Python Programming, Classification And Regression Tree (CART), NumPy, Regression Analysis, Data Analysis, Feature Engineering, Statistical Analysis, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      75 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Social Network Analysis

      Skills you'll gain: Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Visualization Software, Predictive Analytics, Scientific Methods, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      237 reviews

      Beginner · Course · 1 - 3 Months

    Statistical Inference learners also search

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

    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • Real Estate Financial Modeling: Coursera Instructor Network
    • Machine Learning Capstone: IBM
    • Operationalizing LLMs on Azure: Duke University
    • Quantitative Foundations for International Business: University of London
    • Methods for Quantitative Research in Psychology: American Psychological Association
    • Real Estate Development: Building Value in Your Community: University of Michigan
    • Econometria Básica Aplicada: Universidade de São Paulo
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder

    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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