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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

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    249 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of California, Irvine

    Inventory Management

    Skills you'll gain: Inventory Control, Inventory Management, Operations Management, Supply Chain Management, Microsoft Excel, Supply Chain Planning, Order Management, Warehouse Management, Demand Planning, Logistics Management, Excel Formulas, Service Level, Operations, Data Management, Customer Data Management, Forecasting, Statistical Analysis, Stakeholder Engagement, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    242 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, AI Enablement, Research Methodologies, Social Sciences, Applied Machine Learning, Responsible AI, Analytics, Machine Learning, Data Mining, Ethical Standards And Conduct, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    712 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Columbia University

    The Construction Industry: The Way Forward

    Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Sustainable Design, Climate Change Adaptation, Augmented and Virtual Reality (AR/VR), Strategic Partnership, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    404 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Scenario Testing, Programming Principles, Computational Thinking, Algorithms, Business Logic, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    322 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Maryland, College Park

    Dealing With Missing Data

    Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Statistical Modeling, R Programming, Regression Analysis, Data Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    138 reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, ChatGPT, OpenAI, Multimodal Prompts, Large Language Modeling, OpenAI API, Hugging Face, Responsible AI, GitHub, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    213 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Caltech

    Pricing Options with Mathematical Models

    Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Finance, Risk Modeling, Mathematical Modeling, Financial Modeling, Risk Management, Portfolio Management, Probability, Advanced Mathematics, Differential Equations, Applied Mathematics, Calculus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    39 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

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

  • Principles of fMRI 2: Johns Hopkins University
  • Inventory Management: University of California, Irvine
  • SAS Machine Learning Engineer: SAS
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
  • The Construction Industry: The Way Forward: Columbia University
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • Dealing With Missing Data: University of Maryland, College Park
  • Introduction to Generative AI: Duke University

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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