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Mathematical Thinking

필터링 기준

"mathematical thinking"에 대한 210개의 결과

무료
University of California San Diego
Mathematical Thinking in Computer Science
획득할 기술: Python Programming, Programming Principles, Mathematical Theory & Analysis, Strategy and Operations, Theoretical Computer Science, Business Analysis, Critical Thinking, Computer Programming, Statistical Programming, Research and Design, Problem Solving, Leadership and Management, Algorithms, Logic, Mathematics
4.4
(2.1k개의 검토)
Beginner · Course · 1-3 Months
Duke University
Excel to MySQL: Analytic Techniques for Business
획득할 기술: Algebra, Analysis, Big Data, Business Analysis, Business Analytics, Business Communication, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Data Visualization Software, Database Theory, Databases, Entrepreneurship, Exploratory Data Analysis, Finance, Financial Management, General Statistics, Investment Management, Leadership and Management, Marketing, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Probability & Statistics, Probability Distribution, Problem Solving, Regression, Regression Analysis, Research and Design, Risk Management, SQL, Software, Spreadsheet Software, Statistical Programming, Strategy and Operations, Tableau Software, Theoretical Computer Science
4.6
(14.7k개의 검토)
Beginner · Specialization · 3-6 Months
무료
Google
Google Data Analytics
획득할 기술: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Type, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, General Statistics, Interactive Data Visualization, Leadership and Management, Machine Learning, Mathematical Theory & Analysis, Mathematics, Metadata, Network Security, Other Programming Languages, Plot (Graphics), Presentation, Privacy, Probability & Statistics, Problem Solving, Product Design, Programming Principles, Project Management, R Programming, Research and Design, SQL, Security Engineering, Security Strategy, Small Data, Software, Software Engineering, Software Security, Spreadsheet Software, Statistical Analysis, Statistical Programming, Storytelling, Strategy and Operations, Tableau Software, Theoretical Computer Science, Visual Design, Web Development
4.8
(70.1k개의 검토)
Beginner · Professional Certificate · 3-6 Months
DeepLearning.AI, Stanford University
Machine Learning
획득할 기술: Accounting, Algorithms, Applied Machine Learning, Artificial Neural Networks, Calculus, Communication, Computer Programming, Computer Vision, Cost, Data Analysis, Data Management, Data Mining, Data Structures, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operations Research, Probability & Statistics, Probability Distribution, Python Programming, Regression, Reinforcement Learning, Research and Design, Statistical Classification, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science
4.9
(2k개의 검토)
Beginner · Specialization · 1-3 Months
DeepLearning.AI
Deep Learning
획득할 기술: Advertising, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Psychology, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Management, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Leadership and Management, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language Processing, Network Architecture, Network Model, Object Detection, Probability & Statistics, Project, Project Management, Python Programming, Regression, Sales, Speech, Statistical Machine Learning, Statistical Programming, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science, User Experience
4.8
(134.1k개의 검토)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
IBM Data Engineering
획득할 기술: Algorithms, Apache, Big Data, Business Analysis, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Engineering, Data Management, Data Model, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Graph Theory, Hardware Design, IBM Cloud, Kubernetes, Leadership and Management, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Network Architecture, Network Security, NoSQL, PostgreSQL, Professional Development, Programming Principles, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
(35.8k개의 검토)
Beginner · Professional Certificate · 3-6 Months
Google
Google IT Automation with Python
획득할 기술: Application Development, Cloud Computing, Cloud Platforms, Computational Logic, Computational Thinking, Computer Programming, Computer Programming Tools, Data Structures, Google Cloud Platform, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Programming Principles, Python Programming, Software Engineering, Software Engineering Tools, Software Testing, Statistical Programming, Test Automation, Theoretical Computer Science, Version Control
4.7
(31.4k개의 검토)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM Applied AI
획득할 기술: Algorithms, Application Programming Interfaces, Applied Machine Learning, Artificial Neural Networks, Cloud API, Cloud Computing, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Management, Deep Learning, Ethics, Extract, Transform, Load, IBM Cloud, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Python Programming, Software Engineering, Software Engineering Tools, Statistical Programming, Theoretical Computer Science, Web Development, Web Development Tools
4.6
(37.9k개의 검토)
Beginner · Professional Certificate · 3-6 Months

mathematical thinking과(와) 관련된 검색

mathematical thinking in computer science

introduction to mathematical thinking

요약하자면, 여기에 가장 인기 있는 mathematical thinking 강좌 10개가 있습니다.

Introduction to Mathematical Thinking: Stanford University
Mathematical Thinking in Computer Science: University of California San Diego
Algorithmic Thinking (Part 1): Rice University
Algorithmic Thinking (Part 2): Rice University
Excel to MySQL: Analytic Techniques for Business: Duke University
Experimentation for Improvement: McMaster University
Google Data Analytics: Google
Machine Learning: DeepLearning.AI
Deep Learning: DeepLearning.AI
IBM Data Engineering: IBM Skills Network

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