SPSS is a common software used by data analysts to conduct statistical data analysis. The designation SPSS is short for Statistical Package for the Social Sciences. While no longer just used in social science, SPSS is today a common tool for education, marketing, and healthcare researchers to perform statistical analysis and statistical operations. Among the types of data analyzed using SPSS by researchers include scientific research results, Google analytics, server log files, survey results, and organization customer databases. SPSS software, which has been owned by IBM for over a decade, supports spreadsheets, plain text files, and relational databases like SAS, SATA, and SQL. In fact, almost all kinds of formats of structured data are supported by SPSS software.

Why is it valuable to learn SPSS?

It's valuable to learn SPSS as it may give you graphical insights into how to manage data, conduct data mining, select data cases, recode variables, and manage research surveys. Learning SPSS can also help provide quick data analysis with accurate information about variables and cases. The SPSS software also includes charts and graphs, which makes it easy to share and show data findings. These are valuable assets to learn and to use in your professional career. SPSS software can simplify and speed up your data analytics work through its menu-driven UI that gives you data insights with a few clicks.

What are typical career opportunities that can arise from learning SPSS?

Typical career opportunities that use SPSS are mainly jobs like data analysts, research analysts, and intelligence analysts. These roles may be in government work, research, healthcare, science, education, and marketing. You may even use SPSS understanding to work as an SPSS software instructor. In many of these roles, your knowledge of SPSS would help you conduct data management, data analysis, and research functions for your organization, to help provide meaningful insight for the enterprise.

How can taking online courses on Coursera help me learn SPSS?

When you take online courses on Coursera about SPSS, you may learn the basics of using the SPSS software and the fundamentals of statistical theory and design, as well as how to create variables, how to enter data, and how to modify properties of variables in common statistical tests. Having a basic understanding of data and statistics may help you enrich your learning of SPSS in a faster way. It may also speed up your learning of how SPSS is used in quantitative research models and other statistics formulations.

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Spss

필터링 기준

"spss"에 대한 242개의 결과

무료
University of Amsterdam
Data Analytics for Lean Six Sigma
획득할 기술: Regression, Experiment, Planning, Organizational Development, Probability & Statistics, Minitab, Entrepreneurship, Business Psychology, Basic Descriptive Statistics, Regression Analysis, Operations Management, Supply Chain and Logistics, Analysis, Statistical Tests, Data Visualization, General Statistics, Probability Distribution, Six Sigma, Plot (Graphics), Strategy and Operations, Business Analysis, Leadership and Management, Statistical Programming, Statistical Analysis, Data Analysis, Trigonometric Integral, Statistical Visualization
4.8
(2.8k개의 검토)
Beginner · Course · 1-3 Months
무료
IBM Skills Network
Introduction to Data Science
획득할 기술: Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Mining, Database Administration, Database Application, Databases, General Statistics, Machine Learning, Marketing, Modeling, Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Programming
4.6
(70.7k개의 검토)
Beginner · Specialization · 3-6 Months
Yonsei University
Emerging Technologies: From Smartphones to IoT to Big Data
획득할 기술: Adaptability, Android Development, Big Data, Business Psychology, Cloud Computing, Communication, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Vision, Data Analysis, Data Management, Entrepreneurship, Human Computer Interaction, Interactive Design, Internet Of Things, Machine Learning, Market Analysis, Marketing, Mathematical Theory & Analysis, Mathematics, Mobile Development, Network Architecture, Network Model, Network Security, Security Engineering, Software Engineering, Theoretical Computer Science, User Experience, Virtual Reality, Wireless, iOS Development
4.6
(1.6k개의 검토)
Beginner · Specialization · 3-6 Months
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Google
Google IT Support
획득할 기술: Cloud Computing, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Cryptography, Cyberattacks, Data Architecture, Data Management, Database Administration, Database Application, Databases, Entrepreneurship, Hardware Design, Human Computer Interaction, Leadership and Management, Marketing, Mathematics, Microarchitecture, Network Architecture, Network Security, Networking Hardware, Operating Systems, Planning, Process, Product Lifecycle, Sales, Security, Security Engineering, Security Software, Security Strategy, Software As A Service, Software Security, Strategy, Strategy and Operations, Supply Chain and Logistics, System Security, Systems Design, Theoretical Computer Science, Virtual Reality, Writing
4.8
(144k개의 검토)
Beginner · Professional Certificate · 3-6 Months
Google
Google Digital Marketing & E-commerce
획득할 기술: Accounting, Advertising, Algorithms, Analysis, Back-End Web Development, Benefits, Big Data, Business Analysis, Cloud Computing, Communication, Customer Relationship Management, Customer Success, Customer Support, Data Analysis, Data Management, Data Mining, Data Visualization, Digital Marketing, E-Commerce, Entrepreneurship, Finance, Financial Analysis, General Statistics, Human Computer Interaction, Human Resources, Leadership and Management, Market (Economics), Market Research, Marketing, Marketing Strategy, Mathematical Theory & Analysis, Mathematics, Media Market, Media Strategy & Planning, Probability & Statistics, Research and Design, Sales, Search Engine Optimization, Shipping and Receiving, Social Media, Social Media Marketing, Software As A Service, Software Engineering, Software Testing, Strategy, Strategy and Operations, Supply Chain and Logistics, Theoretical Computer Science, User Experience, Web Development
4.8
(2.5k개의 검토)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
IBM DevOps and Software Engineering
획득할 기술: Agile Software Development, Algorithms, Application Development, Bioinformatics, BlockChain, Cloud Applications, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Collaboration, Communication, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Continuous Integration, Data Management, Design and Product, DevOps, Devops Tools, Distributed Computing Architecture, Docker (Software), Entrepreneurship, Extract, Transform, Load, Finance, Full-Stack Web Development, Human Computer Interaction, IBM Cloud, Interactive Design, Journalism, Kubernetes, Leadership and Management, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, Operating Systems, Planning, Probability & Statistics, Product Design, Product Development, Programming Principles, Project Management, Python Programming, Scrum (Software Development), Security, Security Engineering, Software, Software Architecture, Software As A Service, Software Engineering, Software Engineering Tools, Software Framework, Software Testing, Statistical Programming, Strategy and Operations, Supply Chain and Logistics, System Programming, Systems Design, Theoretical Computer Science, Web Development
4.6
(31.5k개의 검토)
Beginner · Professional Certificate · 3-6 Months
IBM Skills Network
Key Technologies for Business
획득할 기술: Analysis, Applied Machine Learning, BlockChain, Cloud Applications, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Analysis, Data Mining, Deep Learning, DevOps, Finance, General Statistics, Human Computer Interaction, IBM Cloud, Interactive Design, Machine Learning, Machine Learning Algorithms, Network Architecture, Network Security, Operating Systems, Probability & Statistics, Regression, Security, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science
4.7
(67.2k개의 검토)
Beginner · Specialization · 1-3 Months
IBM Skills Network
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획득할 기술: Application Development, Back-End Web Development, BlockChain, Cloud Applications, Cloud Computing, Cloud Foundry, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computational Logic, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Programming Tools, Continuous Delivery, Continuous Integration, Data Management, Database Administration, Database Application, Database Design, Databases, DevOps, Devops Tools, Distributed Computing Architecture, Django (Web Framework), Docker (Software), Extract, Transform, Load, Finance, Front-End Web Development, Full-Stack Web Development, HTML and CSS, Human Computer Interaction, IBM Cloud, Interactive Design, Javascript, Kubernetes, Mathematical Theory & Analysis, Mathematics, Network Architecture, Network Security, NoSQL, Operating Systems, Other Web Frameworks, Python Programming, React (web framework), SQL, Security, Security Engineering, Software, Software Architecture, Software As A Service, Software Engineering, Software Framework, Software Testing, Statistical Programming, System Programming, Systems Design, Theoretical Computer Science, Web Design, Web Development, Web Development Tools
4.6
(30.7k개의 검토)
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University of Virginia Darden School Foundation
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4.7
(19.1k개의 검토)
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spss과(와) 관련된 검색

医学统计学与spss软件（基础篇）

요약하자면, 여기에 가장 인기 있는 spss 강좌 10개가 있습니다.

Data Analytics for Lean Six Sigma: University of Amsterdam
Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
Introduction to Data Science: IBM Skills Network
Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University
Big Data Emerging Technologies: Yonsei University
Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
Google IT Support: Google
Google Digital Marketing & E-commerce: Google
IBM DevOps and Software Engineering: IBM Skills Network
Key Technologies for Business: IBM Skills Network

Probability And Statistics에서 학습할 수 있는 스킬

Spss에 대한 자주 묻는 질문

SPSS is a common software used by data analysts to conduct statistical data analysis. The designation SPSS is short for Statistical Package for the Social Sciences. While no longer just used in social science, SPSS is today a common tool for education, marketing, and healthcare researchers to perform statistical analysis and statistical operations. Among the types of data analyzed using SPSS by researchers include scientific research results, Google analytics, server log files, survey results, and organization customer databases. SPSS software, which has been owned by IBM for over a decade, supports spreadsheets, plain text files, and relational databases like SAS, SATA, and SQL. In fact, almost all kinds of formats of structured data are supported by SPSS software.‎
It's valuable to learn SPSS as it may give you graphical insights into how to manage data, conduct data mining, select data cases, recode variables, and manage research surveys. Learning SPSS can also help provide quick data analysis with accurate information about variables and cases. The SPSS software also includes charts and graphs, which makes it easy to share and show data findings. These are valuable assets to learn and to use in your professional career. SPSS software can simplify and speed up your data analytics work through its menu-driven UI that gives you data insights with a few clicks.‎
Typical career opportunities that use SPSS are mainly jobs like data analysts, research analysts, and intelligence analysts. These roles may be in government work, research, healthcare, science, education, and marketing. You may even use SPSS understanding to work as an SPSS software instructor. In many of these roles, your knowledge of SPSS would help you conduct data management, data analysis, and research functions for your organization, to help provide meaningful insight for the enterprise.‎
When you take online courses on Coursera about SPSS, you may learn the basics of using the SPSS software and the fundamentals of statistical theory and design, as well as how to create variables, how to enter data, and how to modify properties of variables in common statistical tests. Having a basic understanding of data and statistics may help you enrich your learning of SPSS in a faster way. It may also speed up your learning of how SPSS is used in quantitative research models and other statistics formulations.‎