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UX Research Courses

UX research courses can help you learn user-centered design principles, usability testing methods, and data analysis techniques. You can build skills in conducting interviews, creating surveys, and synthesizing user feedback to inform design decisions. Many courses introduce tools like Sketch, Figma, and UserTesting, that support visualizing user journeys and prototyping solutions. Additionally, you might explore how AI can enhance user research through automated data collection and analysis, providing deeper insights into user behavior.


More to explore:

Popular UX Research Courses and Certifications


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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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    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

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Shiny for Python Ultimate - Web Development with Python

    Skills you'll gain: Shiny (R Package), User Interface (UI), Data Visualization Software, Interactive Data Visualization, Application Deployment, Web Applications, Front-End Web Development, Data Analysis, Back-End Web Development, Spatial Data Analysis, Web Development, Full-Stack Web Development, Python Programming, Application Development, Development Environment

    Intermediate · Course · 1 - 3 Months

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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

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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

    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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    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Analysis, R Programming, Predictive Analytics, Exploratory Data Analysis, Supervised Learning, Statistical Analysis, Correlation Analysis, Probability & Statistics, Data Manipulation, Linear Algebra, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Unity: Design & Build Procedural Hex Maps

    Skills you'll gain: Unity Engine, User Interface (UI), Visualization (Computer Graphics), User Interface and User Experience (UI/UX) Design, Computer Graphics, Color Theory, Computer Graphic Techniques, Virtual Environment, Geospatial Mapping, C# (Programming Language), Data Structures, Computational Logic

    Mixed · Course · 1 - 3 Months

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    Google Cloud

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

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Deployment, Google Cloud Platform, Data Preprocessing, Deep Learning, Artificial Neural Networks, Cloud Computing, Data Pipelines, 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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In summary, here are 10 of our most popular ux research courses

  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Machine Learning with Python: Case Studies: EDUCBA
  • Image Classification with Keras: Build & Optimize: EDUCBA
  • Shiny for Python Ultimate - Web Development with Python: Packt
  • Machine Learning and Data Analytics Part 2: Northeastern University
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Linear Regression with R: Build & Optimize: EDUCBA
  • Learning Deep Learning: Unit 3: Pearson
  • Unity: Design & Build Procedural Hex Maps: EDUCBA

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