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.
本課程是 Data-Driven Decision Making (DDDM) 專項課程 專項課程的一部分
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5,909 人已註冊
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) 專項課程纽约州立大学布法罗分校課程信息
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完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 3 門）
初級
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
完成時間大約為11 小時
英語（English）
字幕：英語（English）, 爪哇語
您將學到的內容有
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
您將獲得的技能
- Data visualization tools
- Data storytelling
- Data analysis tools
- Data-Driven Decision Making
- Statistical process control (SPC)
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 3 門）
初級
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
完成時間大約為11 小時
英語（English）
字幕：英語（English）, 爪哇語
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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
Data Analysis Software Tools
This module provides an overview of the tools needed for data analysis.
完成時間為 3 小時
6 個視頻 （總計 24 分鐘）, 6 個閱讀材料, 1 個測驗
完成時間為 3 小時
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'.
完成時間為 3 小時
5 個視頻 （總計 17 分鐘）, 5 個閱讀材料, 1 個測驗
完成時間為 4 小時
Data Visualization and Translation
This module provides tools for leveraging data through visualization and translation.
完成時間為 4 小時
7 個視頻 （總計 36 分鐘）, 5 個閱讀材料, 1 個測驗
完成時間為 2 小時
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.
完成時間為 2 小時
1 個視頻 （總計 1 分鐘）, 1 個閱讀材料, 1 個測驗
審閱
- 5 stars68.75%
- 4 stars18.75%
- 3 stars10.41%
- 2 stars2.08%
來自DATA ANALYSIS AND VISUALIZATION的熱門評論
由 OM 提供2022年7月11日
A very educative course indeed. Thanks to Coursera and its multiple partners who made this possible. lam forever grateful for being afforded such an opportunity. Thanks to the course facilitators.
由 A 提供2022年6月12日
Awesome feeling! I am grateful Coursera. Thank you enoumously.
由 VG 提供2020年12月15日
Examples and better instructions on the assignment would improve this course.
關於 Data-Driven Decision Making (DDDM) 專項課程
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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