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。

Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
中级 · 课程 · 1-4 周

您将获得的技能: Data Visualization Software, Interactive Data Visualization, Data Storytelling, Seaborn, Tableau Software, Statistical Visualization, Dashboard, Matplotlib, Visualization (Computer Graphics), Heat Maps, Scatter Plots, Histogram
中级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
混合 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Large Language Modeling, Text Mining
中级 · 课程 · 1-4 周

Northeastern University
您将获得的技能: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction
混合 · 课程 · 1-3 个月

University of Colorado Boulder
您将获得的技能: Mathematics Education, Survey Creation, Simulations, Research, Experimentation
中级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Artificial Neural Networks
高级设置 · 课程 · 1-4 周

您将获得的技能: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra
混合 · 课程 · 1-4 周

Northeastern University
您将获得的技能: 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, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
中级 · 课程 · 1-3 个月

您将获得的技能: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
混合 · 课程 · 1-3 个月

您将获得的技能: Generative AI, AI Personalization, Web Content, Prompt Engineering, Google Cloud Platform, User Experience, Content Management
初级 · 课程 · 1-4 周

您将获得的技能: Business Valuation, Financial Analysis, Financial Modeling, Financial Statement Analysis, Investment Banking, Mergers & Acquisitions, Corporate Finance, Interviewing Skills, Real Estate, Benchmarking, Microsoft Excel
混合 · 课程 · 1-4 周