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    • Professional Development

    필터링 기준

    "professional development"에 대한 1462개의 결과

    • 무료

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      Erasmus University Rotterdam

      Assessment in Higher Education: Professional Development for Teachers

      획득할 기술: ArcGIS, Business Analysis, Critical Thinking, Leadership and Management, Professional Development, Research and Design, Statistical Programming, Strategy and Operations

      4.8

      (317개의 검토)

      Intermediate · Course · 1-3 Months

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      Macquarie University

      Professional development: Improve yourself, always

      획득할 기술: Professional Development, Leadership and Management, Human Resources, Emotional Intelligence, Leadership Development, Adaptability, Communication, Human Learning

      4.8

      (751개의 검토)

      Mixed · Course · 1-3 Months

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      Google

      Google UX Design

      획득할 기술: Human Computer Interaction, User Experience, User Experience Design, Design and Product, Leadership and Management, Research and Design, Problem Solving, Web Design, Collaboration, Computer Science, User Research, Web Development, Web Development Tools, Brand Management, Change Management, Communication, Emotional Intelligence, Marketing, Marketing Design, Planning, Product Design, Professional Development, Social Media, Accounting, Advertising, Business Analysis, Business Communication, Business Psychology, Computer Programming, Data Analysis, Entrepreneurship, Finance, Financial Analysis, Interactive Design, Investment Management, Operating Systems, Programming Principles, Sales, Software Architecture, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Systems Design, Theoretical Computer Science, Visual Design

      4.8

      (58k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      Google

      Google Digital Marketing & E-commerce

      획득할 기술: Digital Marketing, Marketing, Marketing Management, Media Strategy & Planning, Sales, E-Commerce, Communication, Data Analysis, Social Media, Search Engine Optimization, Advertising, Leadership and Management, Strategy and Operations, Business Communication, Customer Success, Professional Development, Research and Design, Survey Creation, Data Visualization, Entrepreneurship, Persona Research, Storytelling, Strategy, Web Design, Web Development, Web Development Tools, Brand Management, Writing, Accounting, Algorithms, Back-End Web Development, Benefits, Big Data, Business Analysis, Cloud Computing, Computer Networking, Customer Relationship Management, Customer Support, Data Management, Data Mining, Finance, Financial Analysis, General Statistics, Human Computer Interaction, Human Resources, Influencing, Market Analysis, Market Research, Mathematical Theory & Analysis, Mathematics, Microsoft Excel, Networking Hardware, Planning, Probability & Statistics, Public Relations, Shipping and Receiving, Software As A Service, Software Engineering, Software Testing, Supply Chain and Logistics, Theoretical Computer Science, User Experience

      4.8

      (10.5k개의 검토)

      Beginner · Professional Certificate · 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

      (60.8k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Engineering

      획득할 기술: Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Database Administration, Apache, Extract, Transform, Load, Python Programming, Database Application, Data Model, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Computer Architecture, Algebra, PostgreSQL, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Cloud Computing, Data Science, DevOps, Kubernetes, Leadership and Management, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Business Analysis, Cloud Engineering, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, Hardware Design, IBM Cloud, Interactive Data Visualization, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.4k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Data Engineering Foundations

      획득할 기술: Data Structures, Data Management, Databases, SQL, Python Programming, Database Theory, Data Engineering, Data Analysis, Data Model, Database Application, Programming Principles, Extract, Transform, Load, Data Architecture, Database Administration, Algebra, Database Design, PostgreSQL, Statistical Programming, Basic Descriptive Statistics, Exploratory Data Analysis, Apache, Big Data, Data Science, Data Warehousing, Leadership and Management, Network Security, Professional Development, Security Engineering, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Distributed Computing Architecture, Mathematical Theory & Analysis, Mathematics, NoSQL, Project Management, Security Strategy, Strategy and Operations, Theoretical Computer Science

      4.6

      (39.7k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      획득할 기술: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Business Analysis, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (14.8k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      획득할 기술: Entrepreneurship, Strategy and Operations, Business Analysis, Business Transformation, Leadership and Management, Marketing, Sales, Strategy, Data Science, Research and Design, Cloud Computing, Data Analysis, Data Management, Applied Machine Learning, Business Design, Innovation, Big Data, Market Analysis, Cloud Engineering, Cloud Infrastructure, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Basic Descriptive Statistics, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, Data Mining, Data Structures, Data Visualization, Data Warehousing, DevOps, General Statistics, IBM Cloud, Machine Learning, Mathematics, Network Security, Probability & Statistics, Software As A Service, Software Engineering, Apache, BlockChain, Business Psychology, Change Management, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Visualization Software, Deep Learning, Design and Product, Digital Marketing, Extract, Transform, Load, Finance, Human Computer Interaction, Interactive Design, Internet Of Things, Machine Learning Algorithms, Microsoft Excel, Operating Systems, Organizational Development, Product Strategy, Professional Development, Security Engineering, Software Architecture, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (23.5k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Data Analysis and Visualization Foundations

      획득할 기술: Data Analysis, Data Visualization, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Management, Data Analysis Software, Data Science, Plot (Graphics), Big Data, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Data Visualization Software, Statistical Visualization, Basic Descriptive Statistics, Cloud Computing, Data Mining, Data Structures, Data Warehousing, General Statistics, Machine Learning, Mathematics, Probability & Statistics, Apache, Computer Programming, Extract, Transform, Load, Leadership and Management, Operating Systems, Professional Development, System Programming

      4.7

      (14.3k개의 검토)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Back-End Development

      획득할 기술: Software Engineering, Cloud Computing, Web Development, Python Programming, Data Analysis, Other Web Frameworks, Software Engineering Tools, Data Structures, IBM Cloud, Kubernetes, Programming Principles, Security Engineering, Computer Programming, Algebra, Operating Systems, System Programming, System Software, Application Development, Django (Web Framework), Agile Software Development, Cloud Applications, Databases, DevOps, Full-Stack Web Development, Software Security, Basic Descriptive Statistics, Cloud Engineering, Computer Architecture, Data Visualization, Data Visualization Software, Design and Product, Devops Tools, Distributed Computing Architecture, Docker (Software), Exploratory Data Analysis, Front-End Web Development, Leadership and Management, Network Security, Professional Development, SQL, Security Software, Software Architecture, Software Framework, Theoretical Computer Science, Business Analysis, Cloud Platforms, Communication, Computational Logic, Computer Networking, Computer Programming Tools, Data Management, Database Administration, Database Application, Database Design, Journalism, Linux, Mathematical Theory & Analysis, Mathematics, Operations Management, Project Management, Security Strategy, Software As A Service, Software Testing, Statistical Programming, Strategy and Operations, System Security, Systems Design, Web Design

      4.6

      (31.9k개의 검토)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Applied Software Engineering Fundamentals

      획득할 기술: Software Engineering, Python Programming, Data Analysis, Data Structures, Programming Principles, Software Engineering Tools, Algebra, Computer Programming, Web Development, Operating Systems, Other Web Frameworks, System Programming, System Software, Agile Software Development, Application Development, Basic Descriptive Statistics, Design and Product, Exploratory Data Analysis, Front-End Web Development, Full-Stack Web Development, Leadership and Management, Professional Development, Software Architecture, Software Framework, Theoretical Computer Science, Communication, Computational Logic, Computer Programming Tools, Journalism, Linux, Mathematical Theory & Analysis, Mathematics, Software Testing, Statistical Programming, Systems Design

      4.6

      (31.5k개의 검토)

      Beginner · Specialization · 3-6 Months

    professional development과(와) 관련된 검색

    professional development: improve yourself, always
    assessment in higher education: professional development for teachers
    1234…84

    요약하자면, 여기에 가장 인기 있는 professional development 강좌 10개가 있습니다.

    • Assessment in Higher Education: Professional Development for Teachers: Erasmus University Rotterdam
    • Professional development: Improve yourself, always: Macquarie University
    • Google UX Design: Google
    • Google Digital Marketing & E-commerce: Google
    • IBM Data Analyst: IBM Skills Network
    • IBM Data Engineering: IBM Skills Network
    • Data Engineering Foundations: IBM Skills Network
    • IBM Data Analytics with Excel and R: IBM Skills Network
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • Data Analysis and Visualization Foundations: IBM Skills Network

    전문성 개발에 대한 자주 묻는 질문

    • Professional development is the accumulation of knowledge gained in conferences, classes, seminars, workshops, and continuing education programs that a professional person pursues to advance their career. When career-minded workers seek professional development, it is often in certified learning situations to help them achieve a higher level of personal effectiveness. Professional development programs give users an opportunity to grow new skills from innovations in their chosen industry. The general idea of most professional development programs is to increase your professional effectiveness through learning new ideas, concepts, and methods.‎

    • Learning professional development can help you gain new knowledge, ideas, and concepts in your work field to help you advance in your chosen career. For example, you may be a software engineer and learn that your company has plans to move to a new database system in a year’s time. You would then seek out courses on the topic to prepare yourself for the change. Professional development courses are important to learn as they can help you to become certified in a certain sector of your work. This might lead to increased pay or a position that is more rewarding to you.‎

    • You may find career opportunities in learning how to teach professional development in professional learning operations, leadership development companies, training and development agencies, career advisory services, instructional coaching mentorships, and other similar development and teaching fields. If you are more interested in learning the principles of professional development to help you in your career, these principles can be valuable in corporate jobs in sales and marketing, human resources, and operations management. Professional development that is specific to your career field can help you advance within your field.‎

    • Taking online courses in professional development can give you insights into self-change, self-reflection, self-awareness, and self-directed learning. Learning about professional development can also help you to listen better and understand the professional needs of others more succinctly in your work. When you learn professional development skills, you can become better equipped also to navigate your career into higher levels of responsibility.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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