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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.


Popular Clinical Research Courses and Certifications


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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

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    AI CERTs

    Bitcoin Threats & Future Security

    Skills you'll gain: Vulnerability Management, Encryption

    Advanced · Course · 1 - 3 Months

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    Coursera

    From Concept to Critique: Prototyping with Sketch

    Skills you'll gain: User Experience Design, Design Reviews, Prototyping, User Experience, Interaction Design, Mockups, Peer Review, UI/UX Research, Wireframing, Design Software, Collaborative Software

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Data Visualization in Tableau & Python (2 Courses in 1)

    Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Data Storytelling, Seaborn, Tableau Software, Statistical Visualization, Dashboard, Matplotlib, Visualization (Computer Graphics), Heat Maps, Scatter Plots, Histogram

    Intermediate · Course · 1 - 3 Months

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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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    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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    Universidad de los Andes

    Creando proyectos XR y Metaversos

    Skills you'll gain: Prototyping, Usability Testing, UI/UX Research, Augmented and Virtual Reality (AR/VR), Virtual Reality, Virtual Environment, Augmented Reality, 3D Assets, Development Environment, Development Testing

    Beginner · Course · 1 - 3 Months

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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

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    Google Cloud

    Attention Mechanism - 日本語版

    Skills you'll gain: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Large Language Modeling, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Jupyter & Python: Visualize, Optimize & Accelerate

    Skills you'll gain: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Embeddings, Deep Learning, Applied Machine Learning, Markov Model

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Data Preprocessing, Performance Testing

    Mixed · Course · 1 - 4 Weeks

Searches related to clinical research

clinical research ethics
data management for clinical research
understanding clinical research: behind the statistics
doing clinical research: biostatistics with the wolfram language
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In summary, here are 10 of our most popular clinical research courses

  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Bitcoin Threats & Future Security : AI CERTs
  • From Concept to Critique: Prototyping with Sketch: Coursera
  • Data Visualization in Tableau & Python (2 Courses in 1): Packt
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Creando proyectos XR y Metaversos: Universidad de los Andes
  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Attention Mechanism - 日本語版: Google Cloud
  • Jupyter & Python: Visualize, Optimize & Accelerate: EDUCBA

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