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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
    F

    Fundação Instituto de Administração

    Machine Learning Aplicado ao Marketing

    Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Ggplot2, Marketing, Data Visualization Software, Plot (Graphics), Data Modeling, R Programming, Analytics, Data Science, Data Analysis, Innovation, Business Analytics, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    62 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding Data: Navigating Statistics, Science, and AI

    Skills you'll gain: Histogram, Generative AI, Model Evaluation, Data Literacy, Data Visualization, Data Presentation, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Data Ethics, Experimentation, Data Science, Data-Driven Decision-Making, Research Design, Statistical Visualization, AI Enablement, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    54 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Starweaver

    Credit Analyst Academy

    Skills you'll gain: Financial Statement Analysis, Credit Risk, Financial Analysis, Loans, Environmental Social And Corporate Governance (ESG), Market Data, Derivatives, Portfolio Risk, Financial Regulation, Financial Modeling, Risk Analysis, Bank Regulations, Financial Market, Securities (Finance), Risk Management, Financial Data, Financial Services, Portfolio Management, Risk Mitigation, Project Portfolio Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    91 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    TQM Excellence: Lean Six Sigma & Quality Systems

    Skills you'll gain: Statistical Process Controls, Kaizen Methodology, Customer Relationship Management, Six Sigma Methodology, Quality Management, Lean Six Sigma, Lean Methodologies, Quality Management Systems, Continuous Improvement Process, Operational Excellence, Process Improvement, Software Quality Assurance, Quality Control, Supplier Quality Management, Quality Improvement, Brainstorming, Benchmarking, Quality Assurance and Control, Change Management, Organizational Change

    4.8
    Rating, 4.8 out of 5 stars
    ·
    75 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Data Science Coding Challenge: Loan Default Prediction

    Skills you'll gain: Applied Machine Learning, Jupyter, Predictive Modeling, Machine Learning, Data Manipulation, Data Preprocessing, Data Science, Model Evaluation, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    111 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    AI Literacy: Responsible, Trustworthy, Effective

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Agentic systems, AI Security, Discussion Facilitation, Business Ethics, Embeddings, Regulatory Compliance, Case Studies, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), AI Workflows, Analytics, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dense Gases, Liquids and Solids

    Skills you'll gain: Mechanical Engineering, Thermal Management, Chemical Engineering, Materials science, Simulations, Engineering Analysis, Engineering Calculations, Physics, Estimation, Mathematical Modeling, Calculus

    4.5
    Rating, 4.5 out of 5 stars
    ·
    116 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Machine Learning Aplicado ao Marketing: Fundação Instituto de Administração
  • Understanding Data: Navigating Statistics, Science, and AI: University of Michigan
  • Credit Analyst Academy: Starweaver
  • Creating Multi Task Models With Keras: Coursera
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • TQM Excellence: Lean Six Sigma & Quality Systems: EDUCBA
  • Data Science Coding Challenge: Loan Default Prediction: Coursera
  • AI Literacy: Responsible, Trustworthy, Effective: SAS
  • Introduction to Machine Learning with Python: Arizona State University
  • Dense Gases, Liquids and Solids: University of Colorado Boulder

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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