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Udemy - 17 QC Tools for Data Analytics

15-11-2021, 04:24, posted by Baturi

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 25 lectures (2h 29m) | Size: 1.3 GB
7 Traditional, 7 Management and 3 Additional tools for data analytics in Continuous Improvement and Problem Solving

What you'll learn:
The 17 QC tools used in Data Analytics
Tools errors to avoid
How to synthesize tools for using in dashboard and for complex situations
Relationship with Business Intelligence and Big Data
Resource table for immediate use
Requirements
No
Description
This course is essential for developing a thorough understanding of the intended uses of powerful data analytics tools. Numerous examples are provided to assist students in applying them in real-life situations. The course contains two lectures that most courses do not include when teaching these tools: "tool synthesis" and "tool errors to avoid." Many tools are used in the process of a continuous improvement project or solving a problem, and the tool synthesis lecture will help the student choose the right tools and use them in the correct sequence for the best results. Readers of dashboards or problem-solving reports must have faith in the conclusions and recommendations, so the logic of using these tools and correctly displaying the data by the originators is critical. In this course, the student will learn the 7 QC traditional tools, 7 Management and Planning tools and 3 additional tools selected by the instructor to complement the set of 14 tools. They are 5W 2H, Spaghetti Diagram, and Graphs. The Flow Chart lecture includes not only traditional flow chart but also different types of flow chart such as Swim Lane, Process Map, and Value Stream Map. The instructor uses animation software to help bring out the key messages in these lectures. By the end of this course, the student will have better knowledge of the tools but also ready to apply them in any situation.
Who this course is for
Data analysts, scientists, engineers, QC engineers, technicians, supervisors, quality managers and directors, CFO's and CEO's
Homepage

https://www.udemy.com/course/17-qc-tools-for-data-analytics/

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