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: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing

  • 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

  • Status: New
    Status: Free Trial

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

  • Status: Free Trial

    Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Data Manipulation, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistics, Probability & Statistics, Python Programming

  • 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

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

  • University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Data Mining, Supervised Learning, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Applied Machine Learning, Probability, Statistical Inference, Statistical Hypothesis Testing, Service Level, Performance Testing, Dimensionality Reduction, Data Warehousing, Software Engineering, Regression Analysis, Classification And Regression Tree (CART), Data Science, Bash (Scripting Language), Statistical Methods

  • 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

  • Illinois Institute of Technology

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

  • 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