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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
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Statistical Methods, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Model Training, Statistical Machine Learning, Statistical Analysis, NumPy, Machine Learning Methods, Machine Learning, Data Processing, Descriptive Statistics, Programming Principles, Probability Distribution, Probability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Capstone Project: Advanced AI for Drug Discovery

    Skills you'll gain: Model Evaluation, Feature Engineering, Bioinformatics, Model Training, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Artificial Neural Networks, Machine Learning Methods, Predictive Analytics, Pandas (Python Package), Drug Development, Data Preprocessing, Unsupervised Learning, Data Manipulation, Medical Science and Research, Molecular, Cellular, and Microbiology, Scientific Visualization, Molecular Biology, Machine Learning

    2.4
    Rating, 2.4 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Khalifa University

    AI for Executives

    Skills you'll gain: Data Strategy, Customer Relationship Management (CRM) Software, Data Management, AI Personalization, Sales Enablement, Model Deployment, Feature Engineering, Data Governance, Responsible AI, Model Evaluation, AI Integrations, Data Preprocessing, Customer Analysis, Transfer Learning, Customer Data Management, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Reinforcement Learning, Natural Language Processing

    3.4
    Rating, 3.4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Aerial Image Segmentation with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Training, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: SAP Analytics Cloud, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Artificial Intelligence, Data Analysis Software, Applied Machine Learning, Data Analysis, Deep Learning, Machine Learning, AI literacy, Data Ethics, Athletic Training, Health Technology, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Artificial Intelligence Data Fairness and Bias

    Skills you'll gain: Data Ethics, Responsible AI, Data Collection, Game Theory, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Decision Intelligence, Artificial Intelligence, Model Evaluation, Social Justice, Predictive Modeling, Mitigation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    125 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Optimizing Machine Learning Performance

    Skills you'll gain: Responsible AI, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Business Operations, Machine Learning, Ethical Standards And Conduct, Operational Performance Management, Applied Machine Learning, Business Strategy, Risk Mitigation, Systems Integration, Stakeholder Communications

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    Duke University

    GenAI Basics - How LLMs Work

    Skills you'll gain: Large Language Modeling, Fine-tuning, Generative AI, Machine Learning, Model Training, Artificial Intelligence, Data Science

    4
    Rating, 4 out of 5 stars
    ·
    40 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Seaborn with Python: Data Visualization for Beginners

    Skills you'll gain: Seaborn, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Visualization, Data Presentation, Data Visualization Software, Interactive Data Visualization, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Foundations of ML & Python for Data Science: Packt
  • Capstone Project: Advanced AI for Drug Discovery: LearnQuest
  • AI for Executives: Khalifa University
  • Aerial Image Segmentation with PyTorch: Coursera
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Introduction to AI and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Artificial Intelligence Data Fairness and Bias: LearnQuest
  • Optimizing Machine Learning Performance: Alberta Machine Intelligence Institute
  • GenAI Basics - How LLMs Work: Duke University
  • Interpretable Machine Learning Applications: Part 4: Coursera

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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