The course will equip you with the competencies and essential skills required to excel in the American Society for Quality (ASQ) Certified Six Sigma Yellow Belt (CSSYB) exam and contribute to process improvement programs. This course focuses on various data collection tools and techniques to analyze data, identify the root causes of a problem, and explore the concepts of measurement system analysis (MSA), and hypothesis testing. By the end of this course, you will be able to: 鈥� Define data requirements to gather relevant data from the process using appropriate data collection methods. 鈥� Calculate baseline process performance metrics based on the collected data. 鈥� Analyze data for variations and use data analysis tools and techniques to identify the root causes for the problem or variation. The course is best suited for entry-level professionals who are new to the world of Six Sigma and wish to improve their professional experience and opportunities. For this course, no prior knowledge is required, however, it is recommended that you complete the first course, Introduction to Lean Six Sigma and Project Identification Methods in the ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization.
Course wrap-up
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Skills You'll Learn
DMAIC framework, Lean Six Sigma, Business Process Mapping, Critical to quality (CTQ), Root cause analysis
From the lesson
Peer-Reviewed Assignment
This is a peer-review assignment based on the concepts taught in the Data Collection and Root Cause Analysis course. In this assignment, you will apply your knowledge of hypothesis testing to a real-life scenario.
Taught By
Skill-Up EdTech Team
E R Suresh Narain