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Research Courses

Research courses can help you learn data collection techniques, statistical analysis, literature review methods, and experimental design. You can build skills in critical thinking, hypothesis testing, and effective communication of findings. Many courses introduce tools like SPSS, R, and Python for data analysis, as well as reference management software such as EndNote or Zotero, which support the organization and presentation of research projects.


Popular Research Courses and Certifications


  • Status: New
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    I

    Illinois Tech

    Predictive Analytics

    Skills you'll gain: Machine Learning Algorithms, Predictive Analytics, Data Cleansing, Unsupervised Learning, Data Analysis, Statistical Machine Learning, Data Mining, Supervised Learning, Machine Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Recommender Systems Complete Course Beginner to Advanced

    Skills you'll gain: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Machine Learning, Classification And Regression Tree (CART)

    Intermediate · Course · 1 - 3 Months

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    C

    Coursera

    Validate & Elevate: Usability Testing in Sketch

    Skills you'll gain: Usability Testing, Software Design Documents, User Experience Design, UI/UX Research, User Experience, Prototyping, User Research, Test Planning, Design Software

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    NLP in Engineering: Concepts & Real-World Applications

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Deep Learning, Artificial Neural Networks, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Natural Language Processing, Generative AI, Keras (Neural Network Library), Large Language Modeling, Tensorflow, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Responsible AI, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Netzkonvergenzstudien in der Finiten Elemente Methode

    Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Simulations, Mathematical Modeling, Engineering Analysis, 3D Modeling, Scientific Visualization, Cloud Computing, Structural Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    Microsoft

    Exploratory Data Analysis and Visualization

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

    Advanced · Course · 1 - 3 Months

Searches related to research

research methods
research methods in psychology
research methodology
research methodologies
research data management and sharing
research proposal: initiating research
research for impact
research design: inquiry and discovery
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In summary, here are 10 of our most popular research courses

  • Predictive Analytics: Illinois Tech
  • Recommender Systems Complete Course Beginner to Advanced: Packt
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Modèles de séquence: DeepLearning.AI
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • Validate & Elevate: Usability Testing in Sketch: Coursera
  • NLP in Engineering: Concepts & Real-World Applications: Northeastern University
  • 시퀀스 모델: DeepLearning.AI
  • Netzkonvergenzstudien in der Finiten Elemente Methode: Coursera
  • Exploratory Data Analysis and Visualization: Microsoft

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