Statistical Inference

Statistical inference is a branch of statistics that is concerned with making predictions or conjectures about a population based on observed data from a sample of that population. Coursera's Statistical Inference catalogue teaches you how to make accurate and insightful predictions using data. You'll learn about hypothesis testing, confidence intervals, regression analysis, and more. This skill is crucial to many fields, including data science, economics, psychology, and more. By mastering Statistical Inference, you can design and analyze experiments, make data-driven decisions, and contribute to informed policy making. This knowledge can help you in roles such as a data analyst, data scientist, statistician, or researcher.
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Explore the Statistical Inference Course Catalog

  • Status: Free Trial

    Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Data-Driven Decision-Making, Analytics, Machine Learning Methods, Statistical Hypothesis Testing, Biomedical Engineering, A/B Testing, Computer Vision, Algorithms, Statistical Inference, Magnetic Resonance Imaging, Program Development, Probability Distribution, Medical Imaging

  • Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Statistical Inference, Google Cloud Platform, Machine Learning Methods, SQL

  • Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Statistical Inference, Machine Learning Methods, Machine Learning Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

  • University of Colorado Boulder

    Skills you'll gain: Data Mining, Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Anomaly Detection, Probability, Statistical Inference, Statistical Hypothesis Testing, Service Level, Performance Testing, Dimensionality Reduction, Applied Machine Learning, Data Warehousing, Data Pipelines, Data Processing, Software Engineering, Bash (Scripting Language), Data Science

  • Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability

  • Skills you'll gain: Relational Databases, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Simulations, Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Probability Distribution, SQL, Tableau Software, Data Storytelling, Algebra, Computational Logic, Calculus, Trigonometry, Logical Reasoning

  • Illinois Institute of Technology

    Skills you'll gain: Database Design, Statistical Analysis, Time Series Analysis and Forecasting, Relational Databases, Database Application, Database Systems, Data Analysis, Database Management, NoSQL, Database Theory, Databases, Machine Learning Algorithms, SQL, Big Data, Deep Learning, Bayesian Statistics, Statistical Inference, Technical Communication, Regression Analysis, Data Validation