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.
提供方
纽约州立大学布法罗分校
纽约州立大学纽约州立大学
Data-Driven Decision Making (DDDM) 专项课程纽约州立大学布法罗分校课程信息
15,903 次近期查看
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 3 门）
初级
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
完成时间大约为11 小时
英语（English）
字幕：英语（English）, 爪哇语
您将学到的内容有
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
您将获得的技能
- Data visualization tools
- Data storytelling
- Data analysis tools
- Data-Driven Decision Making
- Statistical process control (SPC)
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 2 门课程（共 3 门）
初级
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
完成时间大约为11 小时
英语（English）
字幕：英语（English）, 爪哇语
提供方
纽约州立大学布法罗分校
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.
纽约州立大学纽约州立大学
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.
授课大纲 - 您将从这门课程中学到什么
完成时间为 3 小时
Data Analysis Software Tools
This module provides an overview of the tools needed for data analysis.
完成时间为 3 小时
6 个视频 （总计 24 分钟）, 6 个阅读材料, 1 个测验
完成时间为 3 小时
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'.
完成时间为 3 小时
5 个视频 （总计 17 分钟）, 5 个阅读材料, 1 个测验
完成时间为 4 小时
Data Visualization and Translation
This module provides tools for leveraging data through visualization and translation.
完成时间为 4 小时
7 个视频 （总计 36 分钟）, 5 个阅读材料, 1 个测验
完成时间为 2 小时
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.
完成时间为 2 小时
1 个视频 （总计 1 分钟）, 1 个阅读材料, 1 个测验
关于 Data-Driven Decision Making (DDDM) 专项课程
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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