By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.
제공자:
뉴욕주립대학교 버펄로 캠퍼스
뉴욕주립대학교
Data-Driven Decision Making (DDDM) 특화 과정뉴욕주립대학교 버펄로 캠퍼스이 강좌에 대하여
최근 조회 11,216회
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 3개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
완료하는 데 약 11시간 필요
영어
자막: 영어
배울 내용
Identify stakeholders and key components imperative to an analytics project plan
Name strengths and weaknesses of different analysis and visualization tools
Visually identify, monitor, and remove process variation
Explain how to create a compelling data story
귀하가 습득할 기술
Data visualization toolsData storytellingData analysis toolsData-Driven Decision MakingStatistical process control (SPC)
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 3개 강좌 중 2번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
초급 단계
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
완료하는 데 약 11시간 필요
영어
자막: 영어
제공자:
뉴욕주립대학교 버펄로 캠퍼스
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.
뉴욕주립대학교
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
Data Analysis Software Tools
This module provides an overview of the tools needed for data analysis.
완료하는 데 3시간 필요
6개 동영상 (총 24분), 6 개의 읽기 자료, 1 개의 테스트
6개의 동영상
Context, Objectives, and Analysis Plans4m
Excel, R, MINITAB, MATLAB, and Python7m
Techniques and Best Practices6m
Dan Gerena Discusses Maximizing the Value of Data2m
Introduction to Visualization2m
6개의 읽기 자료
Welcome Message and Course Overview5m
Acknowledgements2m
Context, Objectives, and Analysis Plans Resources (Optional)40m
Data Analysis Tools Resources (Optional)30m
Techniques and Best Practices Resources (Optional)30m
Introduction to Visualization Resources (Optional)20m
1개 연습문제
Data Analysis Software Tools30m
완료하는 데 3시간 필요
Statistical Process Control (SPC)
This module covers SPC, a way to analyze variation over time in your process using data. It is helpful in identifying current problems and can also be used to monitor the process for any deviations once the process is ‘in control'.
완료하는 데 3시간 필요
5개 동영상 (총 17분), 5 개의 읽기 자료, 1 개의 테스트
5개의 동영상
Variation Sources2m
Control and Specification Limits4m
Variation Analysis4m
Process Performance3m
5개의 읽기 자료
Objectives (Optional)10m
Variation Sources (Optional)20m
Control and Specification Limits (Optional)40m
Variation Analysis (Optional)20m
Process Performance (Optional)20m
1개 연습문제
Statistical Process Control (SPC)30m
완료하는 데 4시간 필요
Data Visualization and Translation
This module provides tools for leveraging data through visualization and translation.
완료하는 데 4시간 필요
7개 동영상 (총 36분), 5 개의 읽기 자료, 1 개의 테스트
7개의 동영상
Data Story6m
Tableau, Excel, and Power BI6m
Dan Gerena Discusses Data Visualization3m
Insight Evaluation4m
Testing and Re-Evaluation3m
Dan Gerena Discusses Sustaining a Data-Driven Strategy3m
5개의 읽기 자료
Guiding Principles Resources (Optional)30m
Data Story Resources (Optional)30m
Visualization Tools Resources (Optional)40m
Insight Evaluation Resources (Optional)30m
Testing and Re-Evaluation Resources (Optional)20m
1개 연습문제
Data Visualization and Translation 30m
완료하는 데 2시간 필요
Project: Data Analysis and Visualization
This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.
완료하는 데 2시간 필요
1개 동영상 (총 1분), 1 개의 읽기 자료, 1 개의 테스트
1개의 읽기 자료
Project: Data Analysis and Visualization (REQUIRED)1시간
Data-Driven Decision Making (DDDM) 특화 과정 정보
This specialization explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). The three-course series explores how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights. Course topics include analyzing process maps for driving improvement, software for maximizing data analysis, statistical process control, creating metrics dashboards and translating data stories, and the connection between operations technology metrics and organizational performance. Content touches on leadership’s role in instituting an internet of things (IoT) strategy in manufacturing and service environments. Lessons feature case studies highlighting ROI achieved through DDDM, and the cultural changes required for success.
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