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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: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Geometry, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    The data to decision path for infusion of AI in healthcare

    Skills you'll gain: Data Governance, AI Enablement, Health Informatics, Machine Learning Algorithms, Analytics, Advanced Analytics, Data-Driven Decision-Making, Artificial Intelligence, Health Information Management, Decision Support Systems, Business Analytics, Predictive Analytics, Machine Learning, Data Integration, Real Time Data, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    The Importance of Integrity

    Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Industrial Applications of AI

    Skills you'll gain: Machine Learning Algorithms, Computer Vision, Applied Machine Learning, Image Analysis, Civil Engineering, Artificial Intelligence, Electrical Substation, Machine Learning, Tensorflow, Convolutional Neural Networks, Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Electric Power Systems, Electrical Engineering, Oil and Gas, Mechanical Engineering, Data Preprocessing, Healthcare 5.0

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · 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
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Intro to Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Image Analysis, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Azure DevOps, Machine Learning, Information Privacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
  • The data to decision path for infusion of AI in healthcare: University of Colorado System
  • The Importance of Integrity: Google
  • Recommender Systems: Packt
  • Industrial Applications of AI: L&T EduTech
  • AI-900 MS Azure AI Fundamentals: EDUCBA
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • Foundations of Data Science and Machine Learning with Python: Packt
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt

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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