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Data Science Certificate

필터링 기준

"data science certificate"에 대한 431개의 결과

IBM Skills Network
IBM Machine Learning
획득할 기술: Machine Learning, Probability & Statistics, Deep Learning, General Statistics, Artificial Neural Networks, Forecasting, Machine Learning Algorithms, Regression, Data Analysis, Theoretical Computer Science, Statistical Machine Learning, Computer Vision, Algorithms, Business Analysis, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Bayesian Statistics, NoSQL, Probability Distribution, Applied Machine Learning, Computer Programming, Python Programming, Reinforcement Learning, Statistical Programming, Human Resources, Leadership Development, Leadership and Management, Data Management, Data Structures, Experiment, Linear Algebra, Mathematics, Computer Graphic Techniques, Computer Graphics, Data Visualization, Natural Language Processing, Statistical Visualization, Algebra, Application Development, Basic Descriptive Statistics, Correlation And Dependence, Data Analysis Software, Estimation, SQL, Software Engineering, Statistical Analysis, Statistical Tests
4.6
(1.4k개의 검토)
Intermediate · Professional Certificate · 3-6 Months
Microsoft
Microsoft Azure Data Scientist Associate (DP-100)
획득할 기술: Machine Learning, Cloud Computing, Microsoft Azure, Machine Learning Algorithms, Probability & Statistics, Theoretical Computer Science, Algorithms, Apache, Big Data, Data Management, General Statistics, Computer Programming, Statistical Programming, Python Programming, Regression, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Deep Learning, Bayesian Statistics, Business Analysis, Data Analysis, Exploratory Data Analysis, Extract, Transform, Load, Statistical Machine Learning, Strategy and Operations
4.5
(157개의 검토)
Intermediate · Professional Certificate · 3-6 Months
IBM Skills Network
IBM Applied AI
획득할 기술: Machine Learning, Cloud Computing, IBM Cloud, Python Programming, Data Analysis, Computer Vision, Computer Programming, Computer Science, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Computational Thinking, Data Science, Statistical Programming, Computer Graphics, Theoretical Computer Science, Computer Graphic Techniques, Deep Learning, Natural Language Processing, Algorithms, Artificial Neural Networks, Machine Learning Software, Basic Descriptive Statistics, Computational Logic, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Interactive Design, Other Web Frameworks, Product Design, Web Development, Application Development, Cloud API, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operating Systems, Software Engineering, Software Engineering Tools, Software Testing, Systems Design, Web Development Tools
4.6
(42k개의 검토)
Beginner · Professional Certificate · 3-6 Months
Amazon Web Services
AWS Cloud Solutions Architect
획득할 기술: Amazon Web Services, Cloud Computing, Data Management, Information Technology, Cloud Infrastructure, Extract, Transform, Load, Cloud Applications, Data Analysis, Data Warehousing, Big Data, Cloud API, Cloud Engineering, Cloud Load Balancing, Cloud Management, Cloud Storage, Computer Architecture, Computer Programming, Data Engineering, Data Visualization, Distributed Computing Architecture, Full-Stack Web Development, Operating Systems, Software Architecture, Software Engineering, Software Framework, System Programming, Theoretical Computer Science, Web Development, Accounting, Computer Networking, Databases, Generally Accepted Accounting Principles (GAAP), Leadership and Management, Machine Learning, Network Security, SQL, Security Engineering
4.7
(3.4k개의 검토)
Beginner · Professional Certificate · 3-6 Months
무료
Princeton University
Computer Science: Algorithms, Theory, and Machines
획득할 기술: Theoretical Computer Science, Computer Architecture, Computer Programming, Data Structures, Java Programming, Mobile Development, Algorithms, Computational Logic, Computer Programming Tools, Data Management, Microarchitecture, Computational Thinking, Computer Networking, Hardware Design, Human Computer Interaction, Mathematical Theory & Analysis, Network Architecture, Programming Principles
4.8
(378개의 검토)
Intermediate · Course · 1-3 Months
무료
Princeton University
Algorithms, Part I
획득할 기술: Algorithms, Computer Programming, Data Structures, Java Programming, Theoretical Computer Science, Data Management, Entrepreneurship, Graph Theory, Leadership and Management, Mathematics, Mobile Development, Operations Research, Problem Solving, Research and Design, Strategy and Operations
4.9
(10.2k개의 검토)
Intermediate · Course · 3-6 Months
무료
Georgia Institute of Technology
Materials Data Sciences and Informatics
획득할 기술: Human Computer Interaction, Probability & Statistics, User Experience, Big Data, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Design and Product, Dimensionality Reduction, Experiment, General Statistics, Machine Learning, Python Programming, Statistical Programming
4.5
(308개의 검토)
Intermediate · Course · 1-3 Months
무료
Princeton University
Computer Science: Programming with a Purpose
획득할 기술: Computer Programming, Java Programming, Algorithms, Theoretical Computer Science, C Programming Language Family, Data Visualization, Plot (Graphics), Python Programming, Computational Logic, Computer Science, Data Management, Data Structures, Entrepreneurship, Leadership and Management, Mobile Development, Operations Research, Other Programming Languages, Problem Solving, Programming Principles, Research and Design, Statistical Programming, Strategy and Operations
4.7
(863개의 검토)
Beginner · Course · 1-3 Months
IBM Skills Network
Applied AI with DeepLearning
획득할 기술: Machine Learning, Deep Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Software, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Natural Language Processing, Tensorflow, Computer Vision, Dimensionality Reduction, Linear Algebra, Mathematics, Apache, Big Data, Computer Programming, Data Management
4.4
(1.1k개의 검토)
Advanced · Course · 1-4 Weeks
IBM Skills Network
IBM DevOps and Software Engineering
획득할 기술: DevOps, Software Engineering, Cloud Computing, Python Programming, Computer Programming, Continuous Integration, Strategy and Operations, Kubernetes, Operating Systems, Continuous Delivery, Programming Principles, Security Engineering, Agile Software Development, Data Analysis, IBM Cloud, Software Security, Web Development, System Programming, Application Development, Software Testing, Data Structures, Devops Tools, Leadership and Management, Other Web Frameworks, Software Engineering Tools, System Software, Algebra, Operations Management, Project Management, Security Software, Scrum (Software Development), Cloud Applications, Cloud Engineering, Supply Chain and Logistics, Theoretical Computer Science, Computer Programming Tools, Cloud Infrastructure, Docker (Software), Network Security, Software Architecture, Software As A Service, Statistical Programming, Supply Chain Systems, System Security, Algorithms, Bioinformatics, Computer Architecture, Design and Product, Distributed Computing Architecture, Entrepreneurship, Full-Stack Web Development, Planning, Probability & Statistics, Product Design, Basic Descriptive Statistics, Business Analysis, Cloud Management, Cloud Platforms, Cloud Storage, Computer Networking, Data Management, Data Visualization, Data Visualization Software, Databases, Exploratory Data Analysis, SQL, Security Strategy, Software Framework, Systems Design, BlockChain, Collaboration, Communication, Computational Logic, Computer Graphics, Finance, Human Computer Interaction, Interactive Design, Journalism, Linux, Mathematical Theory & Analysis, Mathematics, Product Development
4.6
(36.2k개의 검토)
Beginner · Professional Certificate · 3-6 Months

data science certificate과(와) 관련된 검색

ibm data science professional certificate

요약하자면, 여기에 가장 인기 있는 data science certificate 강좌 10개가 있습니다.

IBM Machine Learning: IBM Skills Network
Microsoft Azure Data Scientist Associate (DP-100): Microsoft
IBM Applied AI: IBM Skills Network
AWS Cloud Solutions Architect: Amazon Web Services
Computer Science: Algorithms, Theory, and Machines: Princeton University
Algorithms, Part I: Princeton University
Materials Data Sciences and Informatics: Georgia Institute of Technology
Crash Course on Python: Google
Computer Science: Programming with a Purpose: Princeton University
What is Data Science?: IBM Skills Network

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