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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.


Popular Medical Statistics Courses and Certifications


  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Analysis and Interpretation of Large-Scale Programs

    Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Health Policy, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, STATA (Software), Maternal Health, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Scenario and Root Cause Analysis with Generative AI

    Skills you'll gain: Responsible AI, Risk Analysis, Risk Management, Generative AI, Root Cause Analysis, Data-Driven Decision-Making, Analysis, Strategic Decision-Making, Trend Analysis, Scenario Testing, Strategic Thinking, Data Ethics, Strategic Planning, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Data Analytics Foundations for Accountancy II

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Translating Basic Research into Research for Humans

    Skills you'll gain: Pre-Clinical Development, Clinical Research, Drug Development, Clinical Trials, Medical Science and Research, Pharmaceuticals, Laboratory Research, Science and Research, Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    SPSS: Apply & Evaluate Cluster Analysis Techniques

    Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data Analysis with OpenAI API: Save time with GenAI

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Exploratory Data Analysis, OpenAI, ChatGPT, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Product Knowledge, Sales Strategy, E-Commerce, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Maryland, College Park

    AI Applications in Accounting and Finance

    Skills you'll gain: Unstructured Data, Financial Data, Financial Statement Analysis, Image Analysis, Finance, Financial Analysis, Accounting, Emerging Technologies, Artificial Intelligence, Text Mining, Annual Reports, Machine Learning, Trend Analysis, Data-Driven Decision-Making, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Business Intelligence Analysts

    Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Responsible AI, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Data Literacy, Exploratory Data Analysis, Machine Learning, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

1…135136137…175

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

  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
  • Scenario and Root Cause Analysis with Generative AI: Microsoft
  • Data Analytics Foundations for Accountancy II: University of Illinois Urbana-Champaign
  • Translating Basic Research into Research for Humans : University of Michigan
  • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
  • Data Analysis with OpenAI API: Save time with GenAI: Coursera
  • AI Applications in Accounting and Finance: University of Maryland, College Park
  • Deep Learning with Real-World Projects: Packt

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