Quality Management in Excel- Control Charts

Using and Applying Control Charts in Industry
4.71 (28 reviews)
Udemy
platform
English
language
Operations
category
instructor
Quality Management in Excel- Control Charts
177
students
4 hours
content
May 2024
last update
$13.99
regular price

Why take this course?

🚀 Course Title: Quality Management in Excel - Control Charts: Mastering Statistical Process Control for Industry

🎓 Headline: Using and Applying Control Charts in Industry: A Comprehensive Online Course with Real-World Applications


Dive into the World of Data Precision with Control Charts!

Statistics and process control are not just for statisticians anymore. In today's data-driven world, understanding how to apply statistical tools is crucial for professionals across various industries. This course, Quality Management in Excel - Control Charts, is your gateway to mastering these essential skills. It's designed to provide you with a thorough grasp of control charts, which are pivotal for maintaining quality and ensuring efficiency in any operation.


Course Overview:

What You’ll Learn:

  • 📊 Fundamentals of Control Charts: Discover the origins and importance of control charts within statistical process control (SPC).
  • Types of Control Charts: Explore different types of control charts, including I, U, P, and more, and understand their specific applications.
  • 📚 Real-World Scenarios: Engage with hands-on exercises that demonstrate how to implement control charts in various sectors such as healthcare, manufacturing, software development, and finance.
  • 🤔 Strategic Insights: Learn to interpret the data and use insights from control charts to make informed strategic decisions.

Course Structure:

Modules Breakdown:

Module 1: The Pillars of Control Charts

  • 🕰️ The History of SPC and Control Charting
  • 📈 Parts of a Control Chart
  • Advantages of Using Control Charts
  • 📊 Types of Control Charts

Module 2: The Science Behind Control Charts

  • Key Assumptions in SPC
  • 🚫 Identifying Change in Mean Signals
  • 🔄 Detecting External Influence Signals
  • 📈 Assessing Process Stability/Capability Signals

Module 3: Hands-On with Control Charts

  • ⚙️ Building Individual Range Charts
  • 📉 Creating Moving Range Charts
  • 📊 Constructing P Charts
  • 📉 Developing U Charts

Module 4: Applying Control Charts in Different Contexts

  • 🏥 Hospital Wait Times Analysis
  • 🛠️ Improving Manufacturing Processes
  • 💻 Optimizing A/B Testing in Software Development
  • ⚗️ Enhancing Inspection Processes

Module 5: Real-World Case Examples

  • 🔍 In-Depth Control Chart Case Studies

Why Take This Course?

  • 🌍 Industry-Relevant Knowledge: Gain skills that are directly applicable to real-world industry scenarios.
  • 🤝 Practical Exercises: Work through hands-on exercises that solidify your understanding of control charts.
  • 💡 Expert Instruction: Learn from Michael Parent, an expert instructor with a wealth of knowledge in quality management and Excel.
  • 🎓 Certification Opportunity: Upon completion, earn a certificate that showcases your proficiency in control chart application and SPC.

Embark on this journey to become a pro in Quality Management using Control Charts in Excel. Whether you're looking to enhance your current skill set or start a career in quality assurance, this course equips you with the practical knowledge needed to excel. 🌟

Enroll now and take the first step towards becoming an expert in statistical process control! 📈🚀

Course Gallery

Quality Management in Excel- Control Charts – Screenshot 1
Screenshot 1Quality Management in Excel- Control Charts
Quality Management in Excel- Control Charts – Screenshot 2
Screenshot 2Quality Management in Excel- Control Charts
Quality Management in Excel- Control Charts – Screenshot 3
Screenshot 3Quality Management in Excel- Control Charts
Quality Management in Excel- Control Charts – Screenshot 4
Screenshot 4Quality Management in Excel- Control Charts

Loading charts...

Related Topics

4337118
udemy ID
06/10/2021
course created date
01/02/2022
course indexed date
Bot
course submited by