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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


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    T

    Tecnológico de Monterrey

    Inteligencia Artificial centrada en el ser humano

    Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Liberal Arts, Machine Learning, Human Computer Interaction, Social Impact, Human Centered Design, Psychology, Ethical Standards And Conduct

    4.7
    Rating, 4.7 out of 5 stars
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    117 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of California, Irvine

    Cluster Analysis, Association Mining, and Model Evaluation

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software

    4.5
    Rating, 4.5 out of 5 stars
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    47 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Toronto

    Plant Bioinformatics Capstone

    Skills you'll gain: Network Analysis, Bioinformatics, Analysis, Data Synthesis, Statistical Methods, Technical Communication, Data Collection

    4.8
    Rating, 4.8 out of 5 stars
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    32 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Health Information Management, Machine Learning, Applied Machine Learning, Health Care, Model Deployment, Generative Adversarial Networks (GANs), Artificial Neural Networks, Healthcare Project Management, Supervised Learning, Model Evaluation, Machine Learning Methods, Graph Theory, Big Data

    3.3
    Rating, 3.3 out of 5 stars
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    49 reviews

    Advanced · Specialization · 1 - 3 Months

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    U

    Universitat Autònoma de Barcelona

    Detección de objetos

    Skills you'll gain: Computer Vision, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Artificial Intelligence, Model Evaluation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    352 reviews

    Mixed · Course · 1 - 3 Months

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    C

    Columbia University

    Advanced Topics in Derivative Pricing

    Skills you'll gain: Derivatives, Credit Risk, Financial Market, Portfolio Risk, Capital Markets, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Operations Research, Mathematical Modeling, Probability Distribution, Applied Mathematics, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
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    30 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON

    4.7
    Rating, 4.7 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

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    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Advanced · Course · 1 - 4 Weeks

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    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    9 reviews

    Advanced · Course · 1 - 4 Weeks

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    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Sports Medicine, Analytics, Artificial Intelligence, AI Enablement, Data Analysis Software, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, AI Security, Responsible AI, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
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    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Inteligencia Artificial centrada en el ser humano: Tecnológico de Monterrey
  • Cluster Analysis, Association Mining, and Model Evaluation: University of California, Irvine
  • Plant Bioinformatics Capstone: University of Toronto
  • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
  • Detección de objetos: Universitat Autònoma de Barcelona
  • Advanced Topics in Derivative Pricing: Columbia University
  • Llama for Python Programmers: University of Michigan
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Introduction to AI and Technology in Sports: Real Madrid Graduate School Universidad Europea

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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