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Theoretical Computer Science

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"theoretical computer science"에 대한 1055개의 결과

IBM
IBM Data Analytics with Excel and R
획득할 기술: Advertising, Analysis, Apache, Big Data, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Extract, Transform, Load, General Statistics, Marketing, Mathematics, Microsoft Excel, NoSQL, Operating Systems, Plot (Graphics), Probability & Statistics, Programming Principles, R Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, System Programming, Theoretical Computer Science
4.7
(9.7k개의 검토)
Beginner · Professional Certificate
IBM
Applied Data Science
획득할 기술: Algebra, Analysis, Business Analysis, Cloud API, Cloud Computing, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science, Web
4.6
(38k개의 검토)
Beginner · Specialization
University of Virginia Darden School Foundation
IBM & Darden Digital Strategy
획득할 기술: Analysis, Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Design, Business Strategy, Change Management, 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 Structures, 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
(18k개의 검토)
Beginner · Specialization
Google
Google IT Automation with Python
획득할 기술: Application Development, Bash (Unix Shell), Cloud Computing, Cloud Platforms, Computational Thinking, Computer Programming, Data Structures, Debugging, Github, Google Cloud Platform, Other Programming Languages, Programming Principles, Python Programming, Software Engineering, Software Engineering Tools, Software Testing, Statistical Programming, Theoretical Computer Science, Unix Shells
4.7
(30.5k개의 검토)
Beginner · Professional Certificate
University of Michigan
Python for Everybody
획득할 기술: Application Programming Interfaces, Computational Logic, Computer Networking, Computer Programming, Computer Programming Tools, Data Management, Data Structures, Database Administration, Database Application, Databases, Extract, Transform, Load, Javascript, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Programming Principles, Python Programming, SQL, Software Architecture, Software Engineering, Statistical Programming, Syntax, Theoretical Computer Science, Web, Web Development
4.8
(249.9k개의 검토)
Beginner · Specialization
IBM
IBM Cybersecurity Analyst
획득할 기술: Application Development, Cloud Computing, Computer Architecture, Computer Networking, Computer Programming, Computer Security Incident Management, Cryptography, Cyberattacks, Data Management, Data Warehousing, Database Administration, Databases, DevOps, Distributed Computing Architecture, Finance, Human Computer Interaction, Mobile Development, Mobile Security, Network Architecture, Network Security, Networking Hardware, Operating Systems, Python Programming, Regulations and Compliance, SQL, Security, Security Engineering, Security Software, Security Strategy, Software Engineering, Software Security, Software Testing, Statistical Programming, System Security, Systems Design, Theoretical Computer Science, Threat
4.6
(15.1k개의 검토)
Beginner · Professional Certificate
IBM
IT Fundamentals for Cybersecurity
획득할 기술: Application Development, Cloud Computing, Computer Architecture, Computer Networking, Computer Security Incident Management, Cryptography, Cyberattacks, Data Management, Data Warehousing, Database Administration, Databases, Distributed Computing Architecture, Finance, Human Computer Interaction, Network Architecture, Network Security, Networking Hardware, Operating Systems, Regulations and Compliance, SQL, Security, Security Engineering, Software Engineering, Software Security, Software Testing, Statistical Programming, System Security, Systems Design, Theoretical Computer Science
4.6
(14k개의 검토)
Beginner · Specialization
IBM
IBM Data Warehouse Engineer
획득할 기술: Apache, Big Data, Cloud Computing, Cloud Engineering, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Data Architecture, Data Management, Data Warehousing, Database Administration, Database Application, Database Design, Databases, DevOps, Distributed Computing Architecture, Extract, Transform, Load, Hardware Design, Microarchitecture, Mysql, Network Security, PostgreSQL, 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
(16.5k개의 검토)
Beginner · Professional Certificate
IBM
IBM Applied AI
획득할 기술: Applied Machine Learning, Cloud API, Cloud Computing, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Management, Deep Learning, Extract, Transform, Load, IBM Cloud, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Python Programming, Software Engineering, Software Engineering Tools, Statistical Programming, Theoretical Computer Science, Web Development, Web Development Tools
4.6
(37k개의 검토)
Beginner · Professional Certificate
IBM
IBM Technical Support
획득할 기술: BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Cryptography, Customer Relationship Management, Customer Success, Cyberattacks, DevOps, Euler'S Totient Function, Evaluation, Finance, Human Computer Interaction, Interactive Design, Leadership and Management, Machine Learning, Marketing, Microarchitecture, Modeling, Network Architecture, Network Security, Operating Systems, Process, Sales, Security Engineering, Software, Software Architecture, Software As A Service, Software Engineering, Software Framework, Strategy and Operations, System Programming, Theoretical Computer Science, User Experience
4.7
(2.2k개의 검토)
Beginner · Professional Certificate
IBM
Information Technology (IT) and Cloud Fundamentals
획득할 기술: BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Cryptography, Cyberattacks, DevOps, Euler'S Totient Function, Evaluation, Finance, Human Computer Interaction, Interactive Design, Leadership and Management, Machine Learning, Microarchitecture, Modeling, Network Architecture, Network Security, Operating Systems, Process, Security Engineering, Software, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science, User Experience
4.7
(2.2k개의 검토)
Beginner · Specialization
IBM
Cloud Application Development Foundations
획득할 기술: Application Development, Back-End Web Development, BlockChain, CSS, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Cryptography, Databases, DevOps, Finance, Front-End Web Development, HTML and CSS, Html, Human Computer Interaction, IBM Cloud, Interactive Design, Javascript, Network Architecture, Network Model, Network Security, NoSQL, Operating Systems, Other Web Frameworks, Programming Principles, React (web framework), Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Engineering Tools, Software Framework, System Programming, Theoretical Computer Science, Web Design, Web Development
4.6
(2.5k개의 검토)
Beginner · Specialization

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

IBM Data Analytics with Excel and R: IBM
Applied Data Science: IBM
IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
Google IT Automation with Python: Google
Python for Everybody: University of Michigan
IBM Cybersecurity Analyst: IBM
IT Fundamentals for Cybersecurity: IBM
IBM Data Warehouse Engineer: IBM
IBM Applied AI: IBM
IBM Technical Support: IBM

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