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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


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    EDUCBA

    Lean Six Sigma: Define, Analyze & Improve

    Skills you'll gain: Lean Six Sigma, Process Mapping, Quality Improvement, Root Cause Analysis, Process Improvement, Strategic Leadership, Business Leadership, Organizational Change, Change Management, Descriptive Statistics, Continuous Improvement Process, Performance Measurement, Business Priorities, Statistical Analysis, Process Design

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Create Customizable Proposals in Qwilr

    Skills you'll gain: Content Performance Analysis, Proposal Development, Web Analytics, Presentations, Marketing Materials, Finance, Project Management

    Beginner · Guided Project · Less Than 2 Hours

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    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    University of Minnesota

    Exploratory Analytics Project Ideation

    Skills you'll gain: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Design Thinking, Data Analysis, Analytics, Business Analytics, Business Analysis, Sprint Planning, Unsupervised Learning, Case Studies, Anomaly Detection, Tree Maps

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 1

    Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Lausanne

    HEALTHY URBAN SYSTEMS - PART 1

    Skills you'll gain: Health Policy, Geographic Information Systems, Public Health, Case Studies, Health Systems, Spatial Analysis, Systems Thinking, Social Determinants Of Health, Sustainable Development, Environmental Issue, Data Management, Emerging Technologies

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Data Science Decisions in Time: Information Theory & Games

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Fundação Instituto de Administração

    Fundamentos de Inteligência Artifical em Marketing

    Skills you'll gain: Marketing Strategies, Customer experience strategy (CX), Digital Transformation, Marketing Analytics, Marketing, Data-Driven Decision-Making, Predictive Analytics, Digital Marketing, Machine Learning, Innovation, Trend Analysis, Brand Management, Deep Learning, Artificial Intelligence, Artificial Neural Networks

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    Rating, 4.7 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Lean Six Sigma: Define, Analyze & Improve: EDUCBA
  • Create Customizable Proposals in Qwilr: Coursera
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • Deep Learning with Keras and Practical Applications: Packt
  • Exploratory Analytics Project Ideation: University of Minnesota
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • HEALTHY URBAN SYSTEMS - PART 1: University of Lausanne
  • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA

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