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Theoretical Computer Science

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"theoretical computer science"에 대한 1019개의 결과

Google
Google Data Analytics
획득할 기술: Algorithms, Analysis, Application Development, Big Data, Budget Management, Business Analysis, Business Communication, Change Management, Cloud Computing, Communication, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Structures, Data Visualization, Data Visualization Software, Database Administration, Database Design, Databases, Decision Making, Design and Product, Econometrics, Entrepreneurship, Experiment, Extract, Transform, Load, Feature Engineering, Finance, General Statistics, Leadership and Management, Machine Learning, Network Security, Other Programming Languages, Plot (Graphics), 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, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Storytelling, Strategy and Operations, Theoretical Computer Science
4.8
(57.2k개의 검토)
Beginner · Professional Certificate · 3+ Months
IBM
IBM Data Science
획득할 기술: Algebra, Algorithms, Analysis, Business Analysis, Cloud API, Cloud Computing, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science
4.6
(91.4k개의 검토)
Beginner · Professional Certificate · 3+ Months
Google
Google IT Support
획득할 기술: Application Development, Backup, Cloud Computing, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Cyberattacks, Data Architecture, Data Management, Database Administration, Database Application, Databases, File System, Hardware Design, Human Computer Interaction, Mathematics, Microarchitecture, Network Architecture, Network Security, Networking Hardware, Operating Systems, Product Lifecycle, Security, Security Engineering, Security Software, Software As A Service, Software Engineering, Software Security, System Security, Systems Design, Theoretical Computer Science, Virtual Reality, Writing
4.8
(135.1k개의 검토)
Beginner · Professional Certificate · 3+ Months
IBM
IBM Data Analyst
획득할 기술: Algebra, Analysis, Apache, Big Data, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Visualization, Data Visualization Software, Data Warehousing, Database Administration, Database Application, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.6
(48.7k개의 검토)
Beginner · Professional Certificate · 3+ Months
IBM
Data Science Fundamentals with Python and SQL
획득할 기술: Basic Descriptive Statistics, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Python Programming, R Programming, SPSS, SQL, Statistical Hypothesis Testing, Statistical Programming, Theoretical Computer Science
4.5
(45.4k개의 검토)
Beginner · Specialization · 3+ Months
DeepLearning.AI
Deep Learning
획득할 기술: Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Convolutional Neural Network, Data Management, Deep Learning, Entrepreneurship, General Statistics, Human Computer Interaction, Interactive Design, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.8
(132.4k개의 검토)
Intermediate · Specialization · 3+ Months
IBM
Key Technologies for Business
획득할 기술: Applied Machine Learning, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Cryptography, Data Analysis, Data Mining, Deep Learning, DevOps, Finance, General Statistics, Human Computer Interaction, Interactive Design, Machine Learning, Machine Learning Algorithms, Network Architecture, Network Security, Operating Systems, Probability & Statistics, Regression, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science
4.7
(64.2k개의 검토)
Beginner · Specialization · 1-3 Months
IBM
IBM DevOps and Software Engineering
획득할 기술: Agile Software Development, Application Development, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Continuous Integration, Cryptography, Data Management, Design and Product, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Finance, Full-Stack Web Development, Github, Human Computer Interaction, Interactive Design, Kubernetes, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, Operating Systems, Product Design, Programming Principles, Project Management, Python Programming, Security Engineering, Software, Software Architecture, Software As A Service, Software Engineering, Software Engineering Tools, Software Framework, Software Testing, Statistical Programming, Strategy and Operations, System Programming, Systems Design, Theoretical Computer Science, Web Development
4.6
(29.4k개의 검토)
Beginner · Professional Certificate · 3+ Months
IBM
IBM Data Engineering
획득할 기술: Apache, Big Data, Cloud Computing, Cloud Engineering, Computational Logic, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Management, Data Warehousing, Database Administration, Database Application, Database Design, Database Theory, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Hardware Design, IBM Cloud, Kubernetes, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Network Architecture, Network Security, NoSQL, PostgreSQL, Probability & Statistics, Programming Principles, Project Management, Python Programming, Regression, SQL, Security Engineering, Security Strategy, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
(33.9k개의 검토)
Beginner · Professional Certificate · 3+ Months
IBM
IBM Full Stack Software Developer
획득할 기술: Application Development, Back-End Web Development, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Cryptography, Data Management, Database Administration, Database Application, Database Design, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Finance, Front-End Web Development, Full-Stack Web Development, HTML and CSS, Html, Human Computer Interaction, IBM Cloud, Interactive Design, Javascript, Kubernetes, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Model, Network Security, NoSQL, Operating Systems, Other Web Frameworks, Programming Principles, Python Programming, React (web framework), SQL, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Engineering Tools, Software Framework, Software Testing, Statistical Programming, System Programming, Systems Design, Theoretical Computer Science, Web, Web Design, Web Development
4.6
(28.8k개의 검토)
Beginner · Professional Certificate · 3+ Months
University of Virginia Darden School Foundation
IBM & Darden Digital Strategy
획득할 기술: Analysis, Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Strategy, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Cryptography, Data Analysis, Data Management, Data Mining, Data Visualization, Data Warehousing, Databases, Deep Learning, Design and Product, DevOps, Entrepreneurship, Extract, Transform, Load, Finance, General Statistics, Human Computer Interaction, Interactive Design, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market (Economics), Market Research, Marketing, Network Architecture, Network Security, NoSQL, Operating Systems, Product Strategy, Research and Design, Sales, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, Statistical Analysis, Strategy, Strategy and Operations, System Programming, Theoretical Computer Science
4.7
(17.1k개의 검토)
Beginner · Specialization · 3+ Months
IBM
Data Engineering Foundations
획득할 기술: Apache, Big Data, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Management, Data Warehousing, Database Administration, Database Application, Database Design, Databases, Distributed Computing Architecture, Extract, Transform, Load, Mathematical Theory & Analysis, Mathematics, Network Security, PostgreSQL, Project Management, Python Programming, SQL, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.6
(33.5k개의 검토)
Beginner · Specialization · 3+ Months

요약하자면, 여기에 가장 인기 있는 theoretical computer science 강좌 10개가 있습니다.

Google Data Analytics: Google
IBM Data Science: IBM
Google IT Support: Google
IBM Data Analyst: IBM
Data Science Fundamentals with Python and SQL: IBM
Deep Learning: DeepLearning.AI
Key Technologies for Business: IBM
IBM DevOps and Software Engineering: IBM
IBM Data Engineering: IBM
IBM Full Stack Software Developer: IBM

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