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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


  • P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • U

    University of Michigan

    Decoding AI: A Deep Dive into AI Models and Predictions

    Skills you'll gain: Generative AI, Model Evaluation, Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, AI Enablement, Artificial Intelligence, Big Data, Machine Learning, Social Impact

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Beer Quality Systems

    Skills you'll gain: ISO 9000 Series, Food Quality Assurance And Control, Quality Assurance and Control, Food and Beverage, Quality Assessment, Quality Management, Hazard Analysis, Standard Operating Procedure, Statistical Process Controls, Cost Control, Descriptive Statistics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    Deep learning in Electronic Health Records - CDSS 2

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Lean Six Sigma Green Belt: Apply & Master Skills

    Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Correlation Analysis, Process Improvement, Sampling (Statistics), Project Management, Data Literacy, Regression Analysis, Process Capability, Goal Setting, Statistical Analysis, Scatter Plots, Customer experience improvement, Quality Management, Microsoft Excel, Process Mapping, Risk Management, Root Cause Analysis

    5
    Rating, 5 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • E

    Empower School of Health

    Introduction to Digital Health

    Skills you'll gain: Health Technology, Telehealth, Health Informatics, Health Systems, Health Disparities, Health Equity, Health Care, Public Health, Digital Transformation, Electronic Medical Record, Health Policy

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Explore and Create Reports with Data Studio

    Skills you'll gain: Exploratory Data Analysis, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Analysis, Google Analytics, Data Integration

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Commercial Awareness

    Skills you'll gain: Strategic Decision-Making, Business Acumen, Competitive Analysis, Sales Strategy, Strategic Thinking, Business Strategy, Market Trend, Market Analysis, Business Marketing, Financial Acumen, Strategic Marketing, Market Intelligence, Trend Analysis, Leadership, Business, Business Management, Financial Analysis, Marketing Strategies, Business Metrics, Market Dynamics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    R을 사용한 확률 및 데이터 소개

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning in Retail

    Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Foundations of Data Science and Machine Learning with Python: Packt
  • Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
  • Beer Quality Systems: University of California, Davis
  • Deep learning in Electronic Health Records - CDSS 2: University of Glasgow
  • Lean Six Sigma Green Belt: Apply & Master Skills: EDUCBA
  • Introduction to Digital Health: Empower School of Health
  • Explore and Create Reports with Data Studio: Google Cloud
  • Commercial Awareness: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • R을 사용한 확률 및 데이터 소개: Duke University

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