个结果，搜索词为 "社会科学"
状态：免费试用DeepLearning.AI
您将获得的技能: 机器学习, Python 程序设计, 大型语言模型, 生成式人工智能, 调试, 机器学习算法, 人工智能和机器学习（AI/ML）, 深度学习, 应用机器学习, 人工神经网络, 自然语言处理, 人工智能, PyTorch（机器学习库）, 计算机视觉, 性能调整, MLOps（机器学习 Operator）, 图像分析, 监督学习, 张力流, 数据驱动的决策制定
状态：免费试用Google
您将获得的技能: Threat Modeling, Security Controls, Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Vulnerability Management, Cybersecurity, Hardening, Network Security, Stakeholder Communications, Vulnerability Assessments, Relational Databases, Security Information and Event Management (SIEM), TCP/IP, Data Security, Cloud Security, Network Architecture, Security Awareness, Linux, Debugging
状态：新状态：预览National Taiwan University
您将获得的技能: Mental Concentration, Psychology, Self-Awareness, Artificial Intelligence, Human Learning, Personal Development, Emotional Intelligence, Goal Setting, Critical Thinking, Relationship Building, Mindfulness
状态：免费试用University of Science and Technology of China
您将获得的技能: Brainstorming, Creative Thinking, Creative Problem-Solving, Problem Solving, Innovation, Adult Education, Lifelong Learning, Productivity, Workflow Management, Resourcefulness, Collaboration, Process Mapping, Quick Learning, Learning Strategies, Open Mindset, Operational Efficiency, Adaptability, Personal Development, Willingness To Learn, Self-Awareness
状态：预览Shanghai Jiao Tong University
您将获得的技能: Human Factors, Consumer Behaviour, Organizational Leadership, Psychological Evaluations, Psychology, Occupational Safety And Health, Mental Health, Professional Development, Emotional Intelligence, Criminal Investigation and Forensics, Human Development, Market Research, Leadership, Relationship Building, Decision Making, Scientific Methods
状态：免费试用多位教师
您将获得的技能: 机器学习, Python 程序设计, 深度学习, 预测建模, 负责任的人工智能, 人工智能和机器学习（AI/ML）, 数据伦理, NumPy, 应用机器学习, 强化学习, 随机森林算法, 人工智能, 决策树学习, Jupyter, 监督学习, 分类与回归树 (CART), 功能工程, 无监督学习, 张力流, Scikit-learn （机器学习库）
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, Graphing, Generative AI Agents, Generative AI, Timelines, LLM Application, ChatGPT, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
状态：预览Nanjing University
您将获得的技能: Psychology, Child Development, Culture, Social Sciences, Stress First Aid, Human Development, Human Learning, Cultural Diversity, Behavior Management, Mental Health Diseases and Disorders, Interpersonal Communications
状态：免费试用University of Pennsylvania
您将获得的技能: Financial Statements, Financial Statement Analysis, Operations Management, Return On Investment, Financial Accounting, Financial Reporting, Process Analysis, Income Statement, Operational Efficiency, Business Operations, Capital Budgeting, Marketing, Cash Flows, Finance, Financial Acumen, Production Management, Strategic Marketing, Marketing Strategies, Financial Modeling, Business Planning
状态：预览Duke University
您将获得的技能: Physiology, Respiration, Anatomy, Human Musculoskeletal System, Cardiology, Pulmonology, Endocrinology, Nephrology, Neurology, Vital Signs, Nutrition and Diet, Biology
状态：预览Shanghai Jiao Tong University
您将获得的技能: Chronic Diseases, Cardiology, Blood Pressure, Geriatrics, Home Health Care, Preventative Care, Care Management, Nutrition and Diet, Exercise Therapy, Patient Education And Counseling, Medication Therapy Management
状态：预览Peking University
您将获得的技能: Sociology, Social Sciences, Surveys, Culture, Socioeconomics, Qualitative Research, Research Methodologies, Cultural Diversity, Case Studies, Interviewing Skills
总之，以下是 10 最受欢迎的 社会科学 课程
- 深度学习: DeepLearning.AI
- Google サイバーセキュリティ: Google
- AI 時代人類的獨特性（The Uniqueness of Human Beings in The Age of AI）: National Taiwan University
- 职场修炼：学习、创新、协作与自我实现: University of Science and Technology of China
- 当代应用心理学: Shanghai Jiao Tong University
- 机器学习: DeepLearning.AI
- Google Prompting Essentials: Google
- 心理学与生活: Nanjing University
- 商务基础 (中文版): University of Pennsylvania
- 人体生理学导论（中文版）: Duke University
