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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
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Statistical Analysis, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Aerial Image Segmentation with PyTorch

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

    4
    Rating, 4 out of 5 stars
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    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Kennesaw State University

    The Control Phase for the 6 σ Black Belt

    Skills you'll gain: Statistical Process Controls, Lean Six Sigma, Six Sigma Methodology, Process Improvement, Process Capability, Quality Control, Continuous Improvement Process, Variance Analysis, Facility Repair And Maintenance, Document Management, Training Programs

    4.4
    Rating, 4.4 out of 5 stars
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    39 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Data Preprocessing, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of London

    Data Science Project Capstone: Predicting Bicycle Rental

    Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Applied Machine Learning, Forecasting, Data Analysis, Statistical Modeling, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Exploratory Data Analysis, Feature Engineering, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    19 reviews

    Beginner · Course · 1 - 4 Weeks

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    Duke University

    End to End LLMs with Azure

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Model Deployment, Prompt Patterns, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API), Scalability

    2.5
    Rating, 2.5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Emory University

    Reproducible Templates for Analysis and Dissemination

    Skills you'll gain: Rmarkdown, Knitr, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Sensory Science: Measuring the Senses

    Skills you'll gain: Scientific Methods, Systems Of Measurement, Experimentation, Statistical Analysis, Quantitative Research, Human Factors, Psychology, Research Methodologies, Neurology, Product Testing, Physiology

    4.1
    Rating, 4.1 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Fundamentals of CNNs and RNNs

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Artificial Neural Networks, Natural Language Processing, Deep Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    40 reviews

    Beginner · Course · 1 - 3 Months

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

  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • AI Workflow: Enterprise Model Deployment: IBM
  • Aerial Image Segmentation with PyTorch : Coursera
  • The Control Phase for the 6 σ Black Belt: Kennesaw State University
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
  • Data Science Project Capstone: Predicting Bicycle Rental: University of London
  • End to End LLMs with Azure: Duke University
  • Reproducible Templates for Analysis and Dissemination : Emory University
  • Sensory Science: Measuring the Senses: University of California, Davis
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve 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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