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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
    M

    Microsoft

    Building AI Cloud Apps with Microsoft Azure

    Skills you'll gain: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Cloud Deployment, Data Storage Technologies, Natural Language Processing, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    687 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Battery State-of-Charge (SOC) Estimation

    Skills you'll gain: Estimation, Probability, Model Evaluation, Simulation and Simulation Software, Mathematical Modeling, Performance Tuning, Computational Thinking, Electrical Power

    4.7
    Rating, 4.7 out of 5 stars
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    254 reviews

    Intermediate · Course · 1 - 3 Months

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    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Model Deployment, Cloud Infrastructure, AI Orchestration, Infrastructure Architecture, Data Infrastructure, Devops Tools, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Hardware Architecture, Machine Learning, Data Centers, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
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    448 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    Positive Psychology: Character, Grit and Research Methods

    Skills you'll gain: Research Methodologies, Research Design, Qualitative Research, Critical Thinking, Persistence, Program Evaluation, Case Studies, Tenacity, Psychological Evaluations, Surveys, Data Collection, Reliability, Descriptive Statistics, Interviewing Skills

    4.4
    Rating, 4.4 out of 5 stars
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    1.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cluster Analysis in Data Mining

    Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Methods, Algorithms, Data Structures, Data Visualization

    4.5
    Rating, 4.5 out of 5 stars
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    408 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Validity and Bias in Epidemiology

    Skills you'll gain: Research Design, Epidemiology, Data Collection, Biostatistics, Research Methodologies, Public Health and Disease Prevention, Regression Analysis, Statistical Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    251 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Microsoft

    Visualization for Data Analysis with Power BI

    Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart

    4.2
    Rating, 4.2 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.2
    Rating, 4.2 out of 5 stars
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    207 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
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    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
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    590 reviews

    Beginner · Course · 1 - 3 Months

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

  • Building AI Cloud Apps with Microsoft Azure: Microsoft
  • Battery State-of-Charge (SOC) Estimation: University of Colorado Boulder
  • AI Infrastructure and Operations Fundamentals: NVIDIA
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Positive Psychology: Character, Grit and Research Methods: University of Pennsylvania
  • Cluster Analysis in Data Mining: University of Illinois Urbana-Champaign
  • Validity and Bias in Epidemiology: Imperial College London
  • Visualization for Data Analysis with Power BI: Microsoft
  • Data Collection and Root Cause Analysis: SkillUp
  • DevOps, DataOps, MLOps: 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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