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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
    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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    60 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Master Private Equity Basics: Analyze, Structure & Apply

    Skills you'll gain: Private Equity, Negotiation, Business Valuation, Investment Management, Mergers & Acquisitions, Financial Modeling, Due Diligence, Portfolio Management, Financial Analysis, Entrepreneurial Finance, Liquidation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    L

    LearnQuest

    Build AI Agents with Practical App Design

    Skills you'll gain: AI Workflows, Technical Communication, AI Enablement, Model Deployment, Generative AI Agents, Data Integration, AI Orchestration, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Responsible AI, Artificial Intelligence, Cloud Computing, Deep Learning, Data Visualization, Python Programming, Machine Learning, Data Engineering, Anomaly Detection, Statistical Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
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    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Program Managers

    Skills you'll gain: Agile Software Development, Project Management Software, Program Management, Responsible AI, Planning, Engineering Management, Generative AI, Timelines, Engineering Software, Risk Analysis, Resource Management, Prompt Engineering, Analytics, Stakeholder Communications, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Clinical Decision Support Systems - CDSS 4

    Skills you'll gain: Model Evaluation, Data Ethics, AI Security, Responsible AI, Healthcare Ethics, Machine Learning, Deep Learning, Information Privacy, Decision Support Systems, Health Informatics, Predictive Modeling, Artificial Intelligence, Human Centered Design, Data Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Исследование и генерация данных для принятия бизн.-реш.

    Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation, Influencing

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Data Visualization & Storytelling in Python

    Skills you'll gain: Data Storytelling, Plotly, Data Presentation, Matplotlib, Interactive Data Visualization, Seaborn, Data Visualization, Data Visualization Software, Statistical Visualization, Scatter Plots

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Beginner · 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
  • Master Private Equity Basics: Analyze, Structure & Apply: EDUCBA
  • Build AI Agents with Practical App Design: LearnQuest
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Applied Machine Learning: Johns Hopkins University
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Interpretable machine learning applications: Part 3: Coursera
  • GenAI for Program Managers: Coursera
  • Clinical Decision Support Systems - CDSS 4: University of Glasgow
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins 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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