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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


  • U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Spreadsheet Software, Game Theory, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    4.5 stars, 98 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.5 (98) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • E

    EDUCBA

    Lean Six Sigma Green Belt: Apply & Master Skills

    Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Six Sigma Methodology, Correlation Analysis, Kaizen Methodology, Process Improvement, Process Improvement and Optimization, Quality Improvement, Sampling (Statistics), Project Management, Data Literacy, Statistical Methods, Business Process, Statistical Modeling, Regression Analysis, Operational Excellence, Project Scoping, Process Capability, Goal Setting

    4.8 stars, 51 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.8 (51) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.5 stars, 316 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.5 (316) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • L

    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing

    3.7 stars, 63 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 3.7 (63) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6 stars, 305 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.6 (305) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Data Analysis, R (Software), Data Ethics, Advanced Analytics, Statistical Methods, Data Modeling, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    4.2 stars, 26 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.2 (26) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data Infrastructure, Data Sharing, Manufacturing Processes, Process Engineering, Structural Analysis, Collaborative Software, Statistics

    4.5 stars, 352 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (352) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • I

    Imperial College London

    Measuring Disease in Epidemiology

    Skills you'll gain: Epidemiology, Diagnostic Tests, Public Health and Disease Prevention, Public Health, Preventative Care, Infectious Diseases, Program Evaluation, Risk Analysis, Quantitative Research, Correlation Analysis, Health Policy, Science and Research, Research, General Science and Research

    4.8 stars, 808 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (808) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Wrangling, Data Processing, Data Integration, Statistical Programming, Data Analysis, Code Reusability, Data Management, Data Presentation

    4.8 stars, 944 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (944) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • É

    École Polytechnique

    Aléatoire : une introduction aux probabilités - Partie 1

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Simulations, Statistical Methods, Interactive Data Visualization, Combinatorics, Mathematical Theory & Analysis, Calculus, Applied Mathematics, Correlation Analysis, Numerical Analysis

    4.5 stars, 105 reviews, Mixed, Course, 1 - 3 Months

    ★ 4.5 (105) · Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
  • U

    University of Illinois Urbana-Champaign

    Financial Analysis of Organizations

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Income Statement, Balance Sheet, Financial Analysis, Forecasting, Cash Flow Forecasting, Financial Modeling, Cash Flows, Accounting, Cash Management, Equities, Business Valuation, Financial Planning, Capital Expenditure, Business Metrics, Finance

    4.6 stars, 147 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.6 (147) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    SAS

    Structured Query Language (SQL) using SAS

    Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Manipulation, Data Wrangling, Data Integration, Data Management

    4.9 stars, 288 reviews, Mixed, Course, 1 - 3 Months

    ★ 4.9 (288) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular statistical inference courses

  • Math behind Moneyball: University of Houston
  • Lean Six Sigma Green Belt: Apply & Master Skills: EDUCBA
  • Machine Learning Introduction for Everyone: IBM
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Deep Learning and Reinforcement Learning: IBM
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Materials Data Sciences and Informatics: Georgia Institute of Technology
  • Measuring Disease in Epidemiology: Imperial College London
  • Doing More with SAS Programming: SAS
  • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique

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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