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  • Statistical Inference

Statistical Inference Courses

Statistical inference courses can help you learn hypothesis testing, confidence intervals, regression analysis, and data interpretation. You can build skills in analyzing sample data, making predictions, and drawing conclusions about larger populations. Many courses introduce tools like R and Python for statistical programming, as well as software for data visualization, which enhance your ability to apply statistical methods effectively.


Popular Statistical Inference Courses and Certifications


  • J

    Johns Hopkins University

    Systems Thinking In Public Health

    Skills you'll gain: Systems Thinking, Health Systems, Health Policy, Public Health, Policy Analysis, Policy Development, Simulations, Systems Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    965 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Introducción a la inteligencia artificial contemporánea

    Skills you'll gain: Artificial Intelligence, Image Analysis, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Data Ethics, Supervised Learning, Deep Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    317 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Investments I: Fundamentals of Performance Evaluation

    Skills you'll gain: Finance, Investments, Business Valuation, Portfolio Management, Financial Modeling, Financial Market, Equities, Return On Investment, Financial Analysis, Regression Analysis, Corporate Finance, Asset Management, Microsoft Excel, Risk Analysis, Performance Analysis, Cash Flows

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    926 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    457 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    307 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Data Processing, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Experimentation, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, A/B Testing, Data Analysis, Quantitative Research, Regression Analysis, Statistical Inference, Probability & Statistics, Sample Size Determination, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Predictive Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    832 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Molecular Evolution (Bioinformatics IV)

    Skills you'll gain: Bioinformatics, Statistical Analysis, Molecular Biology, Graph Theory

    4.5
    Rating, 4.5 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    Icahn School of Medicine at Mount Sinai

    Introduction to Systems Biology

    Skills you'll gain: Molecular Biology, Pharmacology, Cell Biology, Physiology, Biochemistry, Biology, Bioinformatics, Mathematical Modeling, Electrophysiology, Systems Analysis, Simulations, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    577 reviews

    Mixed · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Bioconductor for Genomic Data Science

    Skills you'll gain: Bioinformatics, Data Analysis Software, Big Data, R Programming, Statistical Programming, Data Manipulation, Data Structures, Software Installation, Data Import/Export

    3.8
    Rating, 3.8 out of 5 stars
    ·
    385 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    PyTorch for Deep Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Data Quality, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Applied Machine Learning, Artificial Neural Networks, Model Evaluation, Software Visualization, Computer Vision, Data Preprocessing, Natural Language Processing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    87 reviews

    Intermediate · Professional Certificate · 1 - 3 Months

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

  • Systems Thinking In Public Health: Johns Hopkins University
  • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
  • Investments I: Fundamentals of Performance Evaluation: University of Illinois Urbana-Champaign
  • Supervised Machine Learning: Classification: IBM
  • Machine Learning Introduction for Everyone: IBM
  • Introduction to Neurohacking In R: Johns Hopkins University
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Recommender Systems: University of Minnesota
  • Molecular Evolution (Bioinformatics IV): University of California San Diego
  • Introduction to Systems Biology: Icahn School of Medicine at Mount Sinai

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)

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