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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


  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Fundamentals of Machine Learning for Supply Chain

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Jupyter, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics), Data Structures, Scripting

    3.7
    Rating, 3.7 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    Michigan State University

    The Emergence of Oncofertility (Past, Present & Future)

    Skills you'll gain: Oncology, Obstetrics And Gynecology, Informed Consent, Treatment Planning, Patient-centered Care, Urology, Epidemiology, Healthcare Ethics, Patient Education And Counseling, Clinical Practices

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Data Effectively

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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: Preview
    Preview
    U

    University of Pittsburgh

    idea 2 IMPACT: An Introduction to Translating Assistive Health Technologies and Other Products

    Skills you'll gain: Competitive Analysis, Stakeholder Analysis, Business Planning, Medical Devices, Market Analysis, New Product Development, Regulatory Affairs, Product Development, Commercialization, Problem Solving, Innovation, Healthcare 5.0, Entrepreneurship, Value Propositions, Presentations

    3.9
    Rating, 3.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    OpenAI: Consistent Response Strategies

    Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Plataformas para procesar datos no tradicionales​

    Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Big Data, MongoDB, Data Infrastructure, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Platforms, Cloud Services, Data Processing, Database Systems, Scalability, Environmental Monitoring, Climate Change Programs

    4.3
    Rating, 4.3 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    National Academy of Sports Medicine

    Pre- and Post-Workout Supplements for the Beginner

    Skills you'll gain: Exercise Science, Physiology, Sports Medicine, Decision Making, Nutrition and Diet, Pharmacology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis in Python: Using Pandas DataFrames

    Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Matplotlib, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Qlik Sense for Beginners: Analyze and Visualize Data

    Skills you'll gain: Data Storytelling, Customer Analysis, Data Integration, Interactive Data Visualization, Dashboard, Data Visualization, Data Analysis, Customer Insights, Data-Driven Decision-Making, Data Analysis Software, Exploratory Data Analysis, Presentations, Analytics, Technical Communication, Data Visualization Software, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Fundamentals of Machine Learning for Supply Chain: LearnQuest
  • The Emergence of Oncofertility (Past, Present & Future): Michigan State University
  • Data Visualization using Plotnine and ggplot: Coursera
  • Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Data Analytics Foundations for Accountancy II: University of Illinois Urbana-Champaign
  • idea 2 IMPACT: An Introduction to Translating Assistive Health Technologies and Other Products: University of Pittsburgh
  • OpenAI: Consistent Response Strategies: Coursera
  • Plataformas para procesar datos no tradicionales​: Universidad de los Andes
  • Pre- and Post-Workout Supplements for the Beginner: National Academy of Sports Medicine

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