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  • Medical Statistics

Medical Statistics Courses

Medical statistics courses can help you learn data analysis techniques, study design principles, hypothesis testing, and the interpretation of clinical trial results. You can build skills in analyzing patient data, understanding epidemiological methods, and applying statistical software for real-world health problems. Many courses introduce tools like R, SAS, or SPSS, that support performing statistical analyses and visualizing health data effectively.


More to explore:

Popular Medical Statistics Courses and Certifications


  • Status: Preview
    Preview
    T

    Technical University of Denmark (DTU)

    Whole genome sequencing of bacterial genomes - tools and applications

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Medical Science and Research, Database Development, Taxonomy, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    106 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    719 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algebra: Elementary to Advanced

    Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    782 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Advanced Define and Measure Phases

    Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    Six Sigma Yellow Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    Emerging Technologies: From Smartphones to IoT to Big Data

    Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Internet Of Things, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Local Area Networks, Multimedia, Emerging Technologies, Apple iOS, Market Analysis, Display Devices, Product Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    448 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular medical statistics courses

  • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
  • Sampling People, Networks and Records: University of Michigan
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • A Crash Course in Data Science: Johns Hopkins University
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera
  • Algebra: Elementary to Advanced: Johns Hopkins University
  • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
  • Six Sigma Yellow Belt: Kennesaw State University
  • Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University

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