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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
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    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Dimensionality Reduction, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Data Science with R

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Statistical Modeling, Web Scraping, Ggplot2, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, Statistical Methods, R Programming, Data Science, Data Wrangling, Data Cleansing, Version Control

    4.8
    Rating, 4.8 out of 5 stars
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    25 reviews

    Beginner · Specialization · 1 - 3 Months

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    I

    Imperial College London

    Building on the SIR Model

    Skills you'll gain: Mathematical Modeling, Statistical Modeling, Simulations, Risk Modeling, Epidemiology, Infectious Diseases, R Programming, Public Health

    4.7
    Rating, 4.7 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    Technical University of Munich (TUM)

    From Zero to Hero - Digital Product Development From Scratch

    Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Product Development, Human Centered Design, Design Thinking, User Research, Agile Product Development, Amazon Web Services, New Product Development, Generative AI, Innovation, Machine Learning, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
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    50 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
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    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Corporate Finance Institute

    Data Science & Machine Learning Fundamentals

    Skills you'll gain: Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Classification And Regression Tree (CART), Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Supervised Learning, Data Cleansing, Exploratory Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Analysis, Metadata Management, Cell Biology, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
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    26 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Machine Learning, Predictive Modeling, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), 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

  • Status: Free Trial
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    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    65 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Collaborative Software, Machine Learning, Applied Machine Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Data Collection, LLM Application, Behavioral Economics, Analytics

    4.3
    Rating, 4.3 out of 5 stars
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    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Semiconductor Packaging Manufacturing

    Skills you'll gain: Statistical Process Controls, Process Control, Quality Assurance, Semiconductors, Verification And Validation, Manufacturing Operations, Manufacturing Processes, Process Improvement, Process Analysis, Product Testing, Test Engineering, Thermal Management, Electronics Engineering, Electronics, Reliability, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 3 Months

Searches related to statistical inference

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1…969798…186

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

  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Data Science with R: Duke University
  • Building on the SIR Model: Imperial College London
  • From Zero to Hero - Digital Product Development From Scratch: Technical University of Munich (TUM)
  • AI Workflow: Enterprise Model Deployment: IBM
  • Data Science & Machine Learning Fundamentals: Corporate Finance Institute
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Explainable AI (XAI): Duke 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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