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Data Science Certificate

필터링 기준

"data science certificate"에 대한 431개의 결과

SAS
SAS Advanced Programmer
획득할 기술: SAS (Software), Statistical Programming, Data Management, Databases, SQL, Business Analysis, Spreadsheet Software, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Programming Principles, Theoretical Computer Science, Big Data, Data Analysis, Computational Thinking
4.8
(303개의 검토)
Intermediate · Professional Certificate · 3-6 Months
IBM Skills Network
Data Analysis with Python
획득할 기술: Basic Descriptive Statistics, Data Analysis, Data Science, Python Programming, Applied Machine Learning, Data Mining, Data Structures, General Statistics, Machine Learning, Regression, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algebra, Business Analysis, Computer Programming, Computer Programming Tools, Correlation And Dependence, Econometrics, Mathematical Theory & Analysis, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Statistical Programming
4.7
(16.2k개의 검토)
Beginner · Course · 1-3 Months
Johns Hopkins University
Genomic Data Science
획득할 기술: Probability & Statistics, Bioinformatics, Computer Programming, Statistical Programming, Python Programming, Data Analysis, R Programming, Theoretical Computer Science, Algorithms, Business Analysis, General Statistics, Statistical Analysis, Data Analysis Software, Computer Programming Tools, Biostatistics, Other Programming Languages, Software Engineering, Big Data, Data Management, Data Visualization, Amazon Web Services, Cloud Applications, Cloud Computing, Cloud Platforms, Statistical Tests, Basic Descriptive Statistics, Computational Thinking, Exploratory Data Analysis, Accounting, Advertising, Communication, Computer Graphics, Financial Analysis, Graphics Software, Marketing
4.5
(5.8k개의 검토)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
Advanced Data Science with IBM
획득할 기술: Machine Learning, Data Management, Statistical Programming, Python Programming, Machine Learning Algorithms, Apache, Deep Learning, Machine Learning Software, Artificial Neural Networks, Probability & Statistics, Cloud Computing, Statistical Machine Learning, Extract, Transform, Load, Basic Descriptive Statistics, General Statistics, IBM Cloud, Data Model, Applied Machine Learning, Data Analysis, Data Visualization, Dimensionality Reduction, SQL, Statistical Visualization, Feature Engineering, Linear Algebra, Mathematics, Natural Language Processing, Tensorflow, Bayesian Network, Cloud Platforms, Cloud Storage, Computer Vision, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, NoSQL, Plot (Graphics), Probability Distribution, R Programming, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Internet Of Things, Leadership and Management, Programming Principles, Statistical Analysis, Strategy and Operations, Theoretical Computer Science
4.3
(2.9k개의 검토)
Advanced · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español
획득할 기술: Data Management, Computer Architecture, Cloud Computing, Google Cloud Platform, Distributed Computing Architecture, Web Development, Full-Stack Web Development, Machine Learning, Statistical Programming, Big Data, Cloud Storage, Computer Programming, Applied Machine Learning, Business Analysis, Business Psychology, Cloud Platforms, Data Analysis, Deep Learning, Entrepreneurship, Python Programming, Databases, Theoretical Computer Science, SQL, Computer Networking, Database Administration, Database Application, Database Theory, Hardware Design, Network Architecture, Data Engineering, Data Structures, Data Warehousing, Apache, Computational Thinking, Data Visualization, Extract, Transform, Load, Geovisualization, Accounting, Cloud API, Financial Analysis, Research and Design, Strategy and Operations, Tensorflow
4.7
(723개의 검토)
Intermediate · Specialization · 3-6 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版
획득할 기술: Cloud Computing, Data Management, Computer Architecture, Google Cloud Platform, Distributed Computing Architecture, Big Data, Full-Stack Web Development, Web Development, Cloud Platforms, Machine Learning, Databases, SQL, Statistical Programming, Extract, Transform, Load, Hardware Design, Cloud Storage, Apache, Computer Networking, Computer Programming, Data Architecture, Data Model, Database Administration, Database Application, Database Theory, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Computer Programming Tools, Kubernetes, Strategy and Operations, Tensorflow
4.4
(282개의 검토)
Intermediate · Professional Certificate · 3-6 Months
IBM Skills Network
Fundamentals of Scalable Data Science
획득할 기술: Apache, Data Management, Statistical Programming, Python Programming, Cloud Computing, Basic Descriptive Statistics, General Statistics, IBM Cloud, Probability & Statistics, Data Analysis, Data Visualization, SQL, Statistical Visualization, Cloud Platforms, Cloud Storage, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, Dimensionality Reduction, Linear Algebra, Machine Learning, Mathematics, NoSQL, Plot (Graphics), R Programming, Big Data, Computer Architecture, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Exploratory Data Analysis, Programming Principles, Statistical Analysis
4.3
(2k개의 검토)
Beginner · Course · 1-4 Weeks
IBM Skills Network
Data Science with R - Capstone Project
획득할 기술: R Programming, Data Analysis, Data Mining, Plot (Graphics), Basic Descriptive Statistics, Data Visualization, General Statistics, Interactive Data Visualization, Regression, Statistical Visualization, Data Visualization Software, Estimation, Exploratory Data Analysis, Geovisualization, Linear Algebra, Machine Learning, Probability & Statistics, SAS (Software), SQL, Spatial Data Analysis, Statistical Analysis, Statistical Tests, Data Management, Data Science, Extract, Transform, Load, Statistical Programming
4.4
(22개의 검토)
Intermediate · Course · 1-3 Months

data science certificate과(와) 관련된 검색

ibm data science professional certificate

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

Python Project for Data Science: IBM Skills Network
SAS Advanced Programmer: SAS
Data Analysis with Python: IBM Skills Network
Genomic Data Science: Johns Hopkins University
Advanced Data Science with IBM: IBM Skills Network
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español: Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版: Google Cloud
Fundamentals of Scalable Data Science: IBM Skills Network
SQL for Data Science with R: IBM Skills Network
Data Science with R - Capstone Project: IBM Skills Network

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