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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
    J

    Johns Hopkins University

    Household Surveys for Program Evaluation in LMICs

    Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Ethics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Particle Filters (and Navigation)

    Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    AI Infrastructure: Networking Techniques

    Skills you'll gain: Google Cloud Platform, Virtual Networking, Cloud Infrastructure, Data Import/Export, Network Architecture, Identity and Access Management, Generative AI, Network Performance Management, Network Monitoring, General Networking, Network Protocols, Computer Networking, Network Security, Distributed Computing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Tableau, Networks & Time Series Data Visualization

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Statistical Visualization, Network Model, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Pandas (Python Package), Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Fundamentos de IA Aplicados ao CRM

    Skills you'll gain: Predictive Analytics, Customer Relationship Management, Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Analyze Advanced Data Processing

    Skills you'll gain: PySpark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Risk Modeling, Data Transformation, Unstructured Data, Simulation and Simulation Software, Data Manipulation, Image Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Machine Learning Essentials for Business and Technical Decision Makers

    Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Linear and Quadratic Functions

    Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Trend Analysis, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Fundamentos de sistemas recomendadores

    Skills you'll gain: AI Personalization, Model Evaluation, Predictive Modeling, Machine Learning, Machine Learning Software, Dimensionality Reduction, Machine Learning Algorithms, Text Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Introduction to Docker and Containers

    Skills you'll gain: Docker (Software), Containerization, CI/CD, Devops Tools, Kubernetes, DevOps, R Programming, Application Deployment, Development Environment, Software Installation, YAML, Application Development, Node.JS, Command-Line Interface, Scalability

    Intermediate · Course · 1 - 4 Weeks

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1…171172173…209

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

  • Household Surveys for Program Evaluation in LMICs: Johns Hopkins University
  • Particle Filters (and Navigation): University of Colorado System
  • AI Infrastructure: Networking Techniques: Google Cloud
  • Tableau, Networks & Time Series Data Visualization: University of Pittsburgh
  • Fundamentos de IA Aplicados ao CRM: Fundação Instituto de Administração
  • PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
  • Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
  • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Data Science Fundamentals, Part 1: Pearson

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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