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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


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    J

    Johns Hopkins University

    Investigating Epidemics like COVID-19: An Analyst's Guide

    Skills you'll gain: Epidemiology, Health Disparities, Spatial Data Analysis, Data Visualization, Public Health, Geographic Information Systems, Data Analysis, Statistical Analysis, Infectious Diseases, Risk Analysis, Microsoft Excel

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Github CoPilot for Beginners: Write Software With AI

    Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, UI Components, Prompt Engineering, Web Development Tools, Web Development, Generative AI, Javascript, Software Engineering, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    73 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    E

    Emory University

    Managing Uncertainty in Marketing Analytics

    Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Statistical Modeling, Forecasting, Decision Making, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    68 reviews

    Intermediate · Course · 1 - 4 Weeks

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    F

    Fred Hutchinson Cancer Center

    Researcher's Guide to Omic Data

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Laboratory Research, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Scientific Methods, Data Collection, Data Quality, Research, Quantitative Research, Informatics, Biology, Laboratory Techniques, Analysis

    3.8
    Rating, 3.8 out of 5 stars
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    32 reviews

    Intermediate · Specialization · 3 - 6 Months

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    I

    Imperial College London

    Using Data for Healthcare Improvement

    Skills you'll gain: Run Chart, Qualitative Research, Continuous Quality Improvement (CQI), Health Informatics, Quantitative Research, Data Collection, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Systems Of Measurement, Time Series Analysis and Forecasting

    4.8
    Rating, 4.8 out of 5 stars
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    43 reviews

    Beginner · Course · 1 - 4 Weeks

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    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Construct Stock Market Indices

    Skills you'll gain: Market Data, Google Sheets, Data Import/Export, Equities, Financial Modeling, Financial Analysis, Financial Market

    4.5
    Rating, 4.5 out of 5 stars
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    203 reviews

    Advanced · Guided Project · Less Than 2 Hours

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    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Michigan

    Llama for Python Programmers

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON

    4.7
    Rating, 4.7 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of California, Irvine

    Data Visualization Best Practices

    Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Presentation, Plot (Graphics), Data Storytelling, Tableau Software, Exploratory Data Analysis, Descriptive Statistics, Data Analysis, Descriptive Analytics, Histogram

    3.9
    Rating, 3.9 out of 5 stars
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    20 reviews

    Mixed · Course · 1 - 4 Weeks

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    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
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    91 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
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    48 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Investigating Epidemics like COVID-19: An Analyst's Guide: Johns Hopkins University
  • Github CoPilot for Beginners: Write Software With AI: Coursera
  • Managing Uncertainty in Marketing Analytics: Emory University
  • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
  • Using Data for Healthcare Improvement: Imperial College London
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Construct Stock Market Indices: Coursera
  • Interpretable Machine Learning: Duke University
  • Llama for Python Programmers: University of Michigan
  • Data Visualization Best Practices: University of California, Irvine

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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