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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.


More to explore:

Popular Statistical Inference Courses and Certifications


  • Status: New
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    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Essential Epidemiologic Tools for Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Data Presentation, Geographic Information Systems, Data Visualization Software, GIS Software, Biostatistics, Health Policy, Risk Analysis, Estimation, Demography, Statistical Methods, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
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    3.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Statistical Machine Learning, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Data Literacy

    Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing

    4.6
    Rating, 4.6 out of 5 stars
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    265 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Applied Football Analytics - Looking at real-world cases

    Skills you'll gain: Data Synthesis, Data Integration, Data Literacy, Data Storytelling, Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytical Skills, Strategic Decision-Making, Business Metrics, Forecasting, Media and Communications, Statistics, Persuasive Communication, Databases, Database Design, Innovation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Autoencoders, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    AI Applied to Health and Injury Prevention

    Skills you'll gain: Precision Medicine, Accident Prevention, Data Ethics, Kinesiology, Applied Machine Learning, AI Enablement, Bayesian Network, Child Development, Working With Children, Machine Learning, Data-Driven Decision-Making, Epidemiology, Continuous Monitoring, Load Balancing, Decision Support Systems, Emerging Technologies, Predictive Modeling, Health Education, Biomedical Engineering, Data Integration

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    SAS

    SAS Programmer

    Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Cleansing, Statistical Analysis, Data Processing, Data Preprocessing, Data Integration, SQL, Descriptive Statistics, Computer Programming, Data Presentation, Debugging

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI For Business

    Skills you'll gain: AI Personalization, Machine Learning Methods, Fraud detection, Generative AI, Responsible AI, Data Ethics, Data Management, People Analytics, HR Tech, AI Enablement, AI Product Strategy, Data Governance, Big Data, Applied Machine Learning, Business Strategies, Generative Adversarial Networks (GANs), Human Resources, Credit Risk, Machine Learning, Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • Automate, Analyze, and AI Feedback: Coursera
  • Essential Epidemiologic Tools for Public Health Practice: Johns Hopkins University
  • AI for Medicine: DeepLearning.AI
  • Data Literacy: Johns Hopkins University
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Applied Football Analytics - Looking at real-world cases: Real Madrid Graduate School Universidad Europea
  • IBM Machine Learning: IBM
  • AI Applied to Health and Injury Prevention: Real Madrid Graduate School Universidad Europea
  • SAS Programmer: SAS

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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