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    • Data Science Certificate

    필터링 기준

    "data science certificate"에 대한 432개의 결과

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      IBM Skills Network

      IBM Data Science

      획득할 기술: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Database Application, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Administration, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (106.3k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of Colorado Boulder

      Data Science Graduate Certificate

      획득할 기술: Probability & Statistics, General Statistics, Regression, Machine Learning, Data Analysis, Statistical Tests, Theoretical Computer Science, Probability Distribution, Statistical Analysis, Machine Learning Algorithms, Data Management, Business Analysis, Statistical Machine Learning, Mathematics, Data Mining, Deep Learning, Python Programming, Statistical Programming, Artificial Neural Networks, Applied Machine Learning, Experiment, Data Warehousing, Correlation And Dependence, Econometrics, Algorithms, Reinforcement Learning, Calculus, Estimation, Exploratory Data Analysis, Basic Descriptive Statistics, Differential Equations, Feature Engineering, Natural Language Processing, Spreadsheet Software, Communication, Data Science, Data Structures, Dimensionality Reduction, Linear Algebra, Marketing, R Programming, SQL

      학점 제공

      Graduate Certificate · 6-12 Months

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      Google

      Google Data Analytics

      획득할 기술: Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, 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, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development

      4.8

      (102.1k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of Michigan

      Applied Data Science with Python

      획득할 기술: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science

      4.5

      (33k개의 검토)

      Intermediate · Specialization · 3-6 Months

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      Meta

      Coding Interview Preparation

      획득할 기술: Algorithms, Research and Design, Theoretical Computer Science, Big Data, Calculus, Computer Programming, Data Management, Entrepreneurship, Market Research, Mathematics, Operations Research, Programming Principles, Strategy and Operations, Algebra, Communication, Computational Thinking, Computer Science, Python Programming, Statistical Programming

      4.8

      (20개의 검토)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      Introduction to Data Science

      획득할 기술: Data Science, Data Structures, SQL, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Statistical Programming, Databases, Python Programming, Database Theory, Data Visualization Software, R Programming, Data Management, Data Mining, Database Application, Regression, Devops Tools, Machine Learning Algorithms, SPSS, Basic Descriptive Statistics, Data Analysis, Database Administration, Big Data, Computer Programming, Deep Learning, General Statistics, Machine Learning, Marketing, Probability & Statistics, Storytelling, Writing

      4.6

      (77.2k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analyst

      획득할 기술: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (60.9k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Data Science Fundamentals with Python and SQL

      획득할 기술: Data Structures, Python Programming, Data Analysis, SQL, Statistical Programming, Computer Programming Tools, Data Analysis Software, General Statistics, Machine Learning Software, Probability & Statistics, Software Visualization, Databases, Programming Principles, Algebra, Database Theory, Business Analysis, Data Visualization Software, R Programming, Statistical Analysis, Statistical Tests, Data Management, Data Science, Basic Descriptive Statistics, Probability Distribution, Database Application, Devops Tools, Machine Learning Algorithms, SPSS, Correlation And Dependence, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Regression, Statistical Visualization, Computer Programming, Database Administration, Extract, Transform, Load, Computational Logic, Machine Learning, Mathematical Theory & Analysis, Mathematics, Theoretical Computer Science

      4.5

      (52.8k개의 검토)

      Beginner · Specialization · 3-6 Months

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      Google

      Foundations: Data, Data, Everywhere

      획득할 기술: Data Analysis, Data Management, SQL, Business Analysis, Data Visualization, General Statistics, Plot (Graphics), Probability & Statistics, Spreadsheet Software, Statistical Analysis, Statistical Programming, Statistical Visualization, Databases, Decision Making, Design and Product, Entrepreneurship, Leadership and Management, Product Design, Software Engineering

      4.8

      (73.9k개의 검토)

      Beginner · Course · 1-3 Months

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      University of London

      Graduate Certificate in Computer Science

      획득할 기술: Computer Programming, C Programming Language Family, Databases, C++ Programming, Statistical Programming, Data Management, SQL, Software Engineering, Web Development, Programming Principles, Computer Graphics, Data Analysis, Python Programming, Agile Software Development, Mobile Development, Full-Stack Web Development, Human Computer Interaction, Other Programming Languages, Data Visualization, Back-End Web Development, Computer Networking, Database Design, Interactive Design, Network Model, Software Architecture, Software Testing, Theoretical Computer Science, User Experience, Journalism

      학점 제공

      Graduate Certificate · 6-12 Months

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      IIT Roorkee

      Post Graduate Certificate in Data Science & Machine Learning

      획득할 기술: Statistical Programming, Computer Programming, Python Programming, R Programming, Accounting, Big Data, Data Science, Financial Analysis, Linear Algebra, Machine Learning, Mathematics

      University Certificate · 6-12 Months

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      IBM Skills Network

      Applied Data Science

      획득할 기술: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science

      4.6

      (43.3k개의 검토)

      Beginner · Specialization · 3-6 Months

    data science certificate과(와) 관련된 검색

    ibm data science professional certificate
    1234…36

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

    • IBM Data Science: IBM Skills Network
    • Data Science Graduate Certificate: University of Colorado Boulder
    • Google Data Analytics: Google
    • Applied Data Science with Python: University of Michigan
    • Coding Interview Preparation: Meta
    • Introduction to Data Science: IBM Skills Network
    • IBM Data Analyst: IBM Skills Network
    • Data Science Fundamentals with Python and SQL: IBM Skills Network
    • Foundations: Data, Data, Everywhere: Google
    • Graduate Certificate in Computer Science: University of London

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