用户体验研究课程
用户体验研究课程可以帮助你学习以用户为中心的设计原则、可用性测试方法和数据分析技术。你可以掌握进行访谈、制作 Survey 和综合用户反馈的技能，为设计决策提供依据。许多课程都会介绍Sketch、Figma和UserTesting等工具，这些工具支持可视化用户旅程和原型解决方案。此外，您还可以探索 AI 如何通过自动数据收集和分析来加强用户研究，从而更深入地洞察用户行为。
热门 UX 研究课程和认证
您将获得的技能: 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
状态：预览University of Illinois Urbana-Champaign
您将获得的技能: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing
状态：新状态：预览Northeastern University
您将获得的技能: User Experience Design, Figma (Design Software), Design Thinking, Interaction Design, User Interface (UI) Design, Usability Testing, Prototyping, Wireframing, Software Testing, Information Architecture, White-Box Testing, No-Code Development, Quality Assurance
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Embeddings
状态：新状态：预览Simplilearn
您将获得的技能: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming
状态：新状态：免费试用您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Network Architecture, Machine Learning
状态：预览Google Cloud
您将获得的技能: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Large Language Modeling, Natural Language Processing
状态：预览Northwestern University
您将获得的技能: Robotics, Machine Controls, Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Engineering Analysis, Engineering Calculations, Structural Analysis, Mechanical Design, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Visualization (Computer Graphics), Spatial Analysis
状态：新您将获得的技能: React.js, ChatGPT, Application Deployment, JavaScript Frameworks, Front-End Web Development, Data Persistence, UI Components, Application Programming Interface (API), Debugging, User Interface (UI), User Experience Design
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
状态：预览Universidades Anáhuac
您将获得的技能: Case Studies, Critical Thinking, Decision Making, Research, Problem Solving, Verbal Communication Skills, Complex Problem Solving, Strategic Decision-Making, Communication, Analytical Skills, Analysis, Collaboration, Team Oriented
与 ux research 相关的搜索
总之，以下是 10 最受欢迎的 ux research 课程
- Deep Learning - Crash Course 2023: Packt
- Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign
- User Experience Design and Testing Part 2: Northeastern University
- Attention Mechanism - Français: Google Cloud
- Introduction to CNN Training: Simplilearn
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- RNN Architecture and Sentiment Classification: Packt
- Attention Mechanism - Italiano: Google Cloud
- 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
- ChatGPT Clone using React.js: Packt
