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    • Ibm Python

    필터링 기준

    "ibm python"에 대한 94개의 결과

    • IBM

      IBM

      Python for Data Science, AI & Development

      획득할 기술: Computer Programming, Statistical Programming, Python Programming, Extract, Transform, Load, Data Management, Mathematical Theory & Analysis, Python Libraries, Computational Logic, Theoretical Computer Science, Numpy, Mathematics

      4.6

      (26.3k개의 검토)

      Beginner · Course · 1-3 Months

    • IBM

      IBM

      Data Analysis with Python

      획득할 기술: Data Analysis, Python Programming, Computer Programming Tools, Exploratory Data Analysis, General Statistics, Statistical Programming, Spreadsheet Software, Correlation And Dependence, Regression, Computer Programming, Business Analysis, Modeling, Statistical Machine Learning, Econometrics, Mathematical Theory & Analysis, Analysis, Data Management, Probability & Statistics, Machine Learning, Algebra, Statistical Analysis, Data Mining

      4.7

      (14.9k개의 검토)

      Beginner · Course · 1-3 Months

    • IBM

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      획득할 기술: Statistical Programming, SQL, Data Analysis, Apache Spark, Big Data, Computer Programming, General Statistics, Machine Learning, Databases, NoSQL, Basic Descriptive Statistics, Data Management, Probability & Statistics, Apache

      3.8

      (1.2k개의 검토)

      Intermediate · Course · 1-4 Weeks

    • IBM

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      획득할 기술: Problem Solving, Python Programming, Organizational Development, Statistical Programming, Data Analysis, Computer Programming, Business Process Management, Entrepreneurship, Project Management, Strategy and Operations, Leadership and Management, Research and Design, Probability & Statistics, Data Management, Business Psychology, Process, Data Mining

      4.3

      (143개의 검토)

      Intermediate · Course · 1-4 Weeks

    • IBM

      IBM

      IBM AI Enterprise Workflow

      획득할 기술: Algebra, Algorithms, Apache, Application Development, Applied Machine Learning, Artificial Neural Networks, Big Data, Business Analysis, Business Process Management, Business Psychology, Cloud API, Cloud Computing, Computer Programming, Computer Programming Tools, Cross Platform Development, Data Analysis, Data Management, Data Mining, Data Visualization, Dimensionality Reduction, Econometrics, Entrepreneurship, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, IBM Cloud, Java Programming, Kubernetes, Leadership and Management, Machine Learning, Mathematics, Mobile Development, Natural Language Processing, Operating Systems, Operations Management, Organizational Development, Probability & Statistics, Problem Solving, Project Management, Python Programming, Research and Design, Software Engineering, Software Testing, Statistical Analysis, Statistical Programming, Statistical Visualization, Strategy and Operations, Systems Design, Theoretical Computer Science

      4.3

      (242개의 검토)

      Advanced · Specialization · 3+ Months

    • IBM

      IBM

      Full Stack Cloud Development Capstone Project

      획득할 기술: Software Architecture, Statistical Programming, Back-End Web Development, Web Development, Computer Programming, Software Engineering, Python Programming, HTML and CSS, Other Web Frameworks, Cloud Platforms, IBM Cloud, Application Development, Front-End Web Development, Programming Principles, Theoretical Computer Science, Cloud Computing, Javascript, Kubernetes, Web Design

      4.5

      (28개의 검토)

      Intermediate · Course · 1-3 Months

    • Placeholder
      IBM

      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, Web

      4.6

      (91.7k개의 검토)

      Beginner · Professional Certificate · 3+ Months

    • Placeholder
      IBM

      IBM

      IBM Machine Learning

      획득할 기술: Advertising, Algorithms, Analysis, Applied Machine Learning, Artificial Neural Networks, Business Analysis, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, Forecasting, General Statistics, Journalism, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Mathematics, Probability & Statistics, Python Programming, Regression, Reinforcement Learning, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Supply Chain and Logistics, Theoretical Computer Science

      4.6

      (910개의 검토)

      Intermediate · Professional Certificate · 3+ Months

    • Placeholder
      IBM

      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

      (34k개의 검토)

      Beginner · Professional Certificate · 3+ Months

    • Placeholder
      IBM

      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, Web

      4.6

      (48.9k개의 검토)

      Beginner · Professional Certificate · 3+ Months

    • Placeholder
      IBM

      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, Hypothesis, Hypothesis Testing, Machine Learning, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Python Programming, R Programming, SPSS, SQL, Statistical Hypothesis Testing, Statistical Programming, Theoretical Computer Science, Web

      4.5

      (45.5k개의 검토)

      Beginner · Specialization · 3+ Months

    • Placeholder
      IBM

      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

      (37.2k개의 검토)

      Beginner · Specialization · 3+ Months

    1234…8

    요약하자면, 여기에 가장 인기 있는 ibm python 강좌 10개가 있습니다.

    • Python for Data Science, AI & Development: IBM
    • Data Analysis with Python: IBM
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • IBM AI Enterprise Workflow: IBM
    • Full Stack Cloud Development Capstone Project: IBM
    • IBM Data Science: IBM
    • IBM Machine Learning: IBM
    • IBM Data Engineering: IBM
    • IBM Data Analyst: IBM

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