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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 Colorado Boulder

    Non-Equilibrium Applications of Statistical Thermodynamics

    Skills you'll gain: Chemical Engineering, Chemistry, Thermal Management, Mechanical Engineering, Process Engineering, Engineering Calculations, Engineering Analysis, Differential Equations, Applied Mathematics, Simulation and Simulation Software, Open Source Technology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    83 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Seaborn: Visualizing Basics to Advanced Statistical Plots

    Skills you'll gain: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Probability Distribution, Data Analysis, R (Software), Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Relational Databases, Stored Procedure, R Programming, Data Import/Export, Programming Principles, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    T

    The Hong Kong University of Science and Technology

    Python and Statistics for Financial Analysis

    Skills you'll gain: Statistical Inference, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Model Evaluation, Data Visualization, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    177K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Science

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Unsupervised Learning, Interactive Data Visualization, Supervised Learning, Model Evaluation, Data Analysis, Jupyter, Data Manipulation, Data Literacy, Plotly, Generative AI, Professional Networking, Data Import/Export

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    150K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Cape Town

    Understanding Clinical Research: Behind the Statistics

    Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

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

  • Non-Equilibrium Applications of Statistical Thermodynamics: University of Colorado Boulder
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Building Statistical Models in R: Linear Regression: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • Methods and Statistics in Social Sciences: University of Amsterdam
  • Data Science Fundamentals with Python and SQL: IBM
  • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
  • Google Data Analytics: Google

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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