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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
    U

    University of Illinois Urbana-Champaign

    Inferential and Predictive Statistics for Business

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Statistical Software, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    877 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Management

    Skills you'll gain: Dashboard, Data Warehousing, Extract, Transform, Load, Data Storytelling, SQL, Data Visualization, Dashboard Creation, Database Design, Data Security, Data Migration, Data Governance, Data Presentation, Descriptive Statistics, Data Store, Data Management, Relational Databases, Databases, Data Architecture, Excel Formulas, Business Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Business Analytics with Excel: Elementary to Advanced

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Excel Formulas, Microsoft Excel, Business Analytics, Risk Analysis, Business Risk Management, Business Modeling, Financial Modeling, Resource Allocation, Statistical Analysis, Decision Intelligence, Mathematical Modeling, Process Optimization, Financial Analysis, Statistical Methods, Spreadsheet Software, Predictive Analytics, Transportation Operations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Information Management, Command-Line Interface, Statistical Hypothesis Testing, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Biostatistics in Public Health

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Logistic Regression, Regression Analysis, Sampling (Statistics), Statistical Methods, Histogram, Box Plots, Statistical Visualization, Statistical Analysis, Data Literacy, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Inference, Probability Distribution, Public Health, Scientific Methods, Statistics, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Research Design, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis, Statistical Reporting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Mixed · Course · 1 - 3 Months

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

    University of Pittsburgh

    Bayesian Regression and Model Selection

    Skills you'll gain: Statistical Modeling, Bayesian Statistics, Logistic Regression, Regression Analysis, Predictive Modeling, Mathematical Modeling, Model Evaluation, Statistical Methods, Statistical Machine Learning, Markov Model, Data-Driven Decision-Making, Statistical Inference, Predictive Analytics, Statistical Analysis, Sampling (Statistics), Probability Distribution, Machine Learning Algorithms, Computational Thinking

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Machine Learning Methods, Statistical Hypothesis Testing, Model Training, Data Processing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering, AI literacy, Google Cloud Platform, Large Language Modeling, Artificial Intelligence, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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

    University of Michigan

    Critical Thinking and Decision Science

    Skills you'll gain: Computational Thinking, Logical Reasoning, Critical Thinking, Data Analysis, Deductive Reasoning, Mathematical Modeling, Analytical Skills, Analysis, Experimentation, Critical Thinking and Problem Solving, Data Literacy, Systems Thinking, Statistical Methods, AI literacy, Simulations, Predictive Modeling, Programming Principles, Decision Making, Statistical Inference, Prompt Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5K reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular Statistical Inference courses

  • Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
  • IBM Data Management: IBM
  • Generative AI with Large Language Models: DeepLearning.AI
  • Business Analytics with Excel: Elementary to Advanced: Johns Hopkins University
  • Genomic Data Science: Johns Hopkins University
  • Biostatistics in Public Health: Johns Hopkins University
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Bayesian Regression and Model Selection: University of Pittsburgh
  • IBM Introduction to Machine Learning: IBM
  • Introduction to Generative AI : Google Cloud

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