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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.


More to explore:

Popular Research Courses and Certifications


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    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Artificial Neural Networks, Embeddings, Transfer Learning, Hugging Face, Data Processing, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Marketing Fundamentals Mastery: Apply, Analyze & Evaluate

    Skills you'll gain: Digital Marketing, Market Analysis, Branding, Product Lifecycle Management

    Mixed · Course · 1 - 3 Months

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    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

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    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Ищем популярные ключевые слова и хэштеги в Twitter

    Skills you'll gain: Keyword Research, Social Media Marketing, Social Media, Social Media Strategy, Regional Sales, Market Trend, Trend Analysis

    Beginner · Guided Project · Less Than 2 Hours

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    Universitat Politècnica de València

    Introduction to interdisciplinary sustainable architecture

    Skills you'll gain: Sustainable Architecture, Systems Thinking, Architectural Engineering, Sustainable Systems, Architectural Design, Sustainable Design, Building Design, Architecture and Construction, Civil and Architectural Engineering, Sustainable Development, Landscape Architecture, Environmental Engineering, Sustainable Engineering, Corporate Sustainability, Environmental Regulations, Construction, Policty Analysis, Research, and Development, Environment and Resource Management, Materials science, Innovation

    Intermediate · Course · 1 - 4 Weeks

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    Simplilearn

    Introduction to CNN Training

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Deep Learning with TensorFlow: Build Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation

    Mixed · 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

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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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    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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    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 research courses

  • 시퀀스 모델: DeepLearning.AI
  • Marketing Fundamentals Mastery: Apply, Analyze & Evaluate: EDUCBA
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • Deep Learning - Crash Course 2023: Packt
  • Ищем популярные ключевые слова и хэштеги в Twitter: Coursera
  • Introduction to interdisciplinary sustainable architecture: Universitat Politècnica de València
  • Introduction to CNN Training: Simplilearn
  • Deep Learning with TensorFlow: Build Neural Networks: EDUCBA
  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA

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