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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


  • Status: Free Trial
    Free Trial
    S
    I

    Multiple educators

    Generative AI for Growth Marketing

    Skills you'll gain: Prompt Patterns, Personalized Campaigns, Data-Driven Marketing, Strategic Marketing, AI Enablement, AI literacy, Email Automation, Driving engagement, Data Ethics, Customer experience improvement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Responsible AI, Augmented and Virtual Reality (AR/VR), Content Creation, Machine Learning, Data Synthesis, Image Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Design and Interpretation of Clinical Trials

    Skills you'll gain: Clinical Trials, Clinical Research Ethics, Clinical Research, Healthcare Ethics, Institutional Review Board (IRB), Scientific Methods, Statistical Reporting, Informed Consent, Ethical Standards And Conduct, Drug Development, Sample Size Determination, Statistical Methods, Statistical Analysis, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    U

    University of Colorado Boulder

    Reasoning Under Uncertainty

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Reinforcement Learning, Probability, Probability & Statistics, Decision Intelligence, Probability Distribution, Markov Model, Agentic systems, Artificial Intelligence, Machine Learning Methods, Statistical Inference, Applied Machine Learning, Statistical Machine Learning, Time Series Analysis and Forecasting, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for IT Systems Analysts and Architects

    Skills you'll gain: Prompt Engineering, Process Modeling, Prompt Patterns, Generative AI, Business Workflow Analysis, Systems Analysis, AI Workflows, AI literacy, Process Optimization, Miro AI, Process Mapping, Systems Architecture, Solution Architecture, Software Architecture, Systems Thinking, Responsible AI, Machine Learning, Project Documentation, Stakeholder Communications, Technical Consulting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Bayesian Regression and Model Selection

    Skills you'll gain: Statistical Modeling, Bayesian Statistics, Logistic Regression, Regression Analysis, Predictive Modeling, Mathematical Modeling, Model Evaluation, Statistical Methods, Statistical Machine Learning, Markov Model, Data-Driven Decision-Making, Statistical Inference, Predictive Analytics, Statistical Analysis, Sampling (Statistics), Probability Distribution, Machine Learning Algorithms, Computational Thinking

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Data Processing, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Data Storage, Deep Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Prompt Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, AI powered creativity, Ideation, Verification And Validation, LLM Application, AI literacy, Multimodal Prompts, Responsible AI, AI Enablement, Data Visualization, Generative AI, Risking, Artificial Intelligence, Large Language Modeling, Plot (Graphics), Data Presentation, Statistical Visualization, File Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.2K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Business Analytics with Excel: Elementary to Advanced

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Excel Formulas, Microsoft Excel, Business Analytics, Risk Analysis, Business Risk Management, Business Modeling, Financial Modeling, Resource Allocation, Statistical Analysis, Decision Intelligence, Mathematical Modeling, Process Optimization, Financial Analysis, Statistical Methods, Spreadsheet Software, Predictive Analytics, Transportation Operations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Statistics, Matplotlib, Statistical Visualization, Statistical Programming, Seaborn, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Generative AI for Growth Marketing: Starweaver
  • Design and Interpretation of Clinical Trials: Johns Hopkins University
  • Probabilistic Graphical Models: Stanford University
  • IBM AI Engineering: IBM
  • Reasoning Under Uncertainty: University of Colorado Boulder
  • Generative AI for IT Systems Analysts and Architects: IBM
  • Bayesian Regression and Model Selection: University of Pittsburgh
  • IBM Introduction to Machine Learning: IBM
  • What is Data Science? : IBM
  • Prompt Engineering: Vanderbilt 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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