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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 Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Statistical Analysis, Data Manipulation, Data Cleansing, Data Analysis, Probability & Statistics, Sampling (Statistics), NumPy, Pivot Tables And Charts, Statistical Hypothesis Testing, Jupyter, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Inferential and Predictive Statistics for Business

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    871 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Educators

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, AI Personalization, Responsible AI, ChatGPT, Data Ethics, Education Software and Technology, Digital pedagogy, Learning Management Systems, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Information Privacy, Machine Learning, Context Management, Emerging Technologies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, LLM Application, Responsible AI, Vibe coding, Generative AI, ChatGPT, Agentic systems, Data Ethics, Software Development, DevSecOps, Natural Language Processing, AI Security, CI/CD, Retrieval-Augmented Generation, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Storytelling, Data Mining, Big Data, Data Science, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Business Analytics, Business Intelligence, Predictive Analytics, Machine Learning, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Product Owners

    Skills you'll gain: AI Product Strategy, Prompt Engineering, Prompt Patterns, Responsible AI, Generative AI, ChatGPT, Google Gemini, Product Management, AI Enablement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Stakeholder Engagement, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Probability Distribution, Probability & Statistics, Machine Learning Methods, Model Evaluation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Logistic Regression, Machine Learning Algorithms, Statistical Methods, Classification Algorithms, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Finance & Quantitative Modeling for Analysts

    Skills you'll gain: Return On Investment, Financial Reporting, Financial Acumen, Financial Data, Capital Budgeting, Financial Statements, Business Modeling, Financial Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Income Statement, Risk Analysis, Spreadsheet Software, Business Reporting, Cash Flows, Financial Analysis, Corporate Finance, Excel Formulas, Microsoft Excel

    4.5
    Rating, 4.5 out of 5 stars
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    17K reviews

    Beginner · 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, Quantitative Research, Descriptive Statistics, Probability & Statistics, Epidemiology, 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: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Visualization, Data Visualization Software, Histogram, Statistics, Jupyter, Matplotlib, Probability & Statistics, Data Analysis, Box Plots, Exploratory Data Analysis, Statistical Analysis, Statistical Inference, Data Manipulation, Python Programming, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    L

    Logical Operations

    R Programming for Data Science

    Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Statistical Visualization, Regression Analysis, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Database Design, ChatGPT, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, AI Enablement, Data Mining, Data Synthesis, Infrastructure Architecture, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Introduction to Data Science in Python: University of Michigan
  • Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
  • Generative AI for Educators: IBM
  • Generative AI for Software Developers: IBM
  • What is Data Science? : IBM
  • Generative AI for Product Owners: IBM
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
  • Biostatistics in Public Health: Johns Hopkins University
  • Understanding and Visualizing Data with Python: University of Michigan

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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