Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Communication Skills
Digital Marketing
Artificial Intelligence
Introduction to Marketing
How to Succeed at: Interviews
Introduction to Engineering Mechanics
Organize and share your learning with Class Central Lists.
View our Lists Showcase
掌握数据挖掘的核心技术,从数据预处理到高级分析算法,通过实践案例学习回归分析、分类、聚类等方法,培养解决实际数据问题的能力。
Explore the philosophical foundations of scientific innovation through dialectical materialism, focusing on the relationship between humans, nature, and technology for strategic technological leadership.
探索智能医学的前沿发展,深入了解医疗大数据、神经工程和人工智能如何革新现代医疗实践,掌握这一新兴学科的核心理念和应用前景。
Dive into modern analytical techniques using specialized instruments for chemical composition analysis, covering spectroscopy, electrochemistry, and chromatography methods used across scientific fields.
Explore the fascinating complexity of the human brain, from its structure to advanced cognitive functions, language processing, and cutting-edge brain-computer interface technologies.
Dive into modern structural design methodologies, from optimization and reliability analysis to finite element methods, computer-aided design, and emerging technologies like BIM and digital twins for civil engineering.
Delve into fluid flow testing principles and methods essential for engineering applications, covering measurement techniques, visualization methods, and practical experimentation across various industrial domains.
Master data analysis, decision-making, and mathematical modeling through comprehensive coverage of linear programming, network analysis, game theory, statistical inference, and regression models for business applications.
本课程能够使学生了解质量管理理论,建立正确的质量理念,熟悉质量管理体系,掌握质量管理的工具方法,了解国际一流企业的质量管理实践,具备解决质量管理问题的能力。
掌握战略管理核心理论与实践,通过案例分析深入理解企业竞争优势、组织变革和创新,培养战略思维和领导能力,为职业发展奠定基础。
Master fundamental engineering mathematics concepts, from linear spaces and operators to numerical solutions of differential equations, with practical applications in matrix analysis and numerical methods.
Master the principles and methods of quality and reliability management, from historical developments to modern tools, statistical control, and service quality frameworks for practical implementation.
Get personalized course recommendations, track subjects and courses with reminders, and more.