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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
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    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Social Determinants of Health: Vulnerable Populations

    Skills you'll gain: Health Disparities, Social Determinants Of Health, Health Equity, Maternal Health, Statistical Software, Box Plots, Data Analysis, Health Policy, Child Health, Socioeconomics, Health Informatics, Statistical Hypothesis Testing, Public Health, Data Visualization, Diversity Awareness, Policy Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI-900 MS Azure AI Fundamentals

    Skills you'll gain: Responsible AI, Microsoft Azure, Artificial Intelligence, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, Applied Machine Learning, AI Workflows, No-Code Development, Model Deployment, Text Mining, Machine Learning, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
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    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.8
    Rating, 3.8 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Copilot for Cybersecurity

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), System Monitoring, Data Ethics, AI Security, Large Language Modeling, Responsible AI, LLM Application, Artificial Intelligence, AI Enablement, Event Monitoring, Model Evaluation, Automation, Threat Detection, Emerging Technologies, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    J

    Johns Hopkins University

    تحليل البيانات الاستكشافية

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Plot (Graphics), Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Coursera

    8 Most Controversial Terms in AI, Explained

    Skills you'll gain: Artificial Intelligence, Responsible AI, Generative AI, Open Source Technology, Large Language Modeling, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    31 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
  • Social Determinants of Health: Vulnerable Populations: University of Minnesota
  • AI-900 MS Azure AI Fundamentals: EDUCBA
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
  • Machine Learning Algorithms: Sungkyunkwan University
  • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
  • Copilot for Cybersecurity: Microsoft
  • تحليل البيانات الاستكشافية: Johns Hopkins University
  • 8 Most Controversial Terms in AI, Explained: 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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