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Clinical Research Courses

Clinical research courses can help you learn study design, data collection methods, statistical analysis, and ethical considerations in research. You can build skills in patient recruitment, data management, and interpreting clinical trial results. Many courses introduce tools such as statistical software for data analysis, electronic data capture systems, and project management platforms, that support conducting research efficiently and effectively.


More to explore:

Popular Clinical Research Courses and Certifications


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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Cloud Deployment, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Transformation, Machine Learning, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

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    University of Colorado Boulder

    Aplicar Atividades PhET para Educação STEM

    Skills you'll gain: Simulations, Mathematics Education, Science and Research, User Feedback, Technical Support

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Créer des diagrammes de Buyer Persona avec Creately

    Skills you'll gain: Diagram Design, Persona Development, User Accounts, Productivity Software, Strategic Thinking, Market Analysis, Marketing Communications

    Beginner · Guided Project · Less Than 2 Hours

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    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Predictive Modeling with Python: Apply & Evaluate

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 3 Months

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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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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Create Image Captioning Models - Italiano

    Skills you'll gain: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Artificial Neural Networks

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular clinical research courses

  • Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
  • Aplicar Atividades PhET para Educação STEM: University of Colorado Boulder
  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Créer des diagrammes de Buyer Persona avec Creately: Coursera
  • Neural Models and Machine Translation: Edureka
  • Statistics for Data Science with Python: EDUCBA
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Predictive Modeling with Python: Apply & Evaluate: EDUCBA
  • Data Science Fundamentals Part 2: Unit 1: Pearson
  • Statistical Learning for Engineering Part 2: Northeastern University

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