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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

    Attention Mechanism - 繁體中文

    Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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    Free Trial
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    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

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    Free Trial
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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

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing

    Mixed · 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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    Northeastern University

    Machine Learning and Data Analytics Part 2

    Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: Free
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    Free Trial
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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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    Google Cloud

    Attention Mechanism - 简体中文

    Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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    Status: Free Trial
    Free Trial
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    EDUCBA

    Regression & Logistic Models in Excel & Minitab

    Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Attention Mechanism - 한국어

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

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

  • Attention Mechanism - 繁體中文: Google Cloud
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Machine Learning with Python: Case Studies: EDUCBA
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Creando proyectos XR y Metaversos: Universidad de los Andes
  • Attention Mechanism - 简体中文: Google Cloud
  • Regression & Logistic Models in Excel & Minitab: EDUCBA
  • Attention Mechanism - 한국어: Google Cloud

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