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Ibm Python

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"ibm python"에 대한 94개의 결과

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
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 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
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
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
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
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
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
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
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

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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