The top 11 Quality Improvement courses you need to take

1. Quality Improvement in Healthcare

Health systems worldwide seek to prevent and treat disease and illness and improve well-being and quality of life. This specialisation focuses on improving the quality of the services provided by these systems. The specialisation content is based on the academic literature and research in quality improvement, comprehensively illustrated with real-life practical examples.You will hear from leaders in the field, including a range of guest speakers to support your learning. In this specialisation, you will explore what is meant by quality in healthcare, study approaches to improving quality; and understand what has and has not been learned through scientific study of such approaches to date.\n\nYou will gain an appreciation of the theory and practice of improving quality in health and care, through the scientific literature, and through case studies from around the world. You will learn the tools and techniques of quality improvement, how to apply them and to critique their use. You will learn to analyse data over time to guide and evaluate improvement initiatives. You will study these concepts in health service and population health settings, learning from quality improvement practitioners and experts in the field...

2. Quality Improvement for Population Health

Quality improvement methods were first deployed in healthcare in e hospital settings. However, over the past decade particularly, there has been increasing focus on the application of these methods in improving population and public health. In this course, you will apply a combination of both approaches to population health improvement. You will also learn how to study and evaluate large improvement initiatives to capture learning effectively. Learning Objectives: Apply quality improvement methods in combination with population health frameworks to design a population health improvement initiative Understand how the use of geographic information systems contributes to quality improvement Critique different study designs for studying quality improvement initiatives...

3. Data Science Methods for Quality Improvement

Data analysis skills are widely sought by employers, both nationally and internationally. This specialization is ideal for anyone interested in data analysis for improving quality and processes in business and industry. The skills taught in this specialization have been used extensively to improve business performance, quality, and reliability.\n\nBy completing this specialization, you will improve your ability to analyze data and interpret results as well as gain new skills, such as using RStudio and RMarkdown. Whether you are looking for a job in data analytics, operations, or just want to be able to do more with data, this specialization is a great way to get started in the field.\n\nLearners are encouraged to complete this specialization in the order the courses are presented.\n\nThis specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder...

4. Stability and Capability in Quality Improvement

In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability. Additionally, you will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder...

5. 7 Quality Tools for Quality Management and Improvements.

4.4

(434)

Welcome to the Complete Crash Course on 7 Basic Quality Tools. The course was designed to equip you with the tools and Techniques that are used to solve 90% of quality management related issues within an organization irrespective of the Industry. The course is easy to follow and equipped with examples which are easy to follow, At the end of every topic the Practical Application and Implementation is demonstrated using MS Excel. Being a Quality Professional for 15 years I have practically used and applied these tools in multiple Quality Projects thereby resulting in Millions of dollars as cost saving or Revenue Enhancement...

6. Certified Quality Improvement Associate Training

4.5

(83)

You can use this course for three purposes:1. Passing the CQIA certification exam. The course contains more than 100 practice questions.2. This is also an in-depth Quality 101 course. If you are starting your career in the field of quality, then this is the course for you to advance in your profession.3. Any member of an improvement team who wants to understand basic quality principles and support an improvement initiative.1. CQIA CERTIFICATION EXAM PREPARATION: This course is fully aligned with the updated Body of Knowledge. Sections: Section I        Quality Basics       Section II       Team Basics Section III      Continuous Improvement Techniques Section IV      Supplier RelationshipSection V       Customer Relationship2. QUALITY 101: FOUNDATIONAL QUALITY COURSE TO IMPROVE AN ORGANIZATION'S PERFORMANCE: Training your entry-level quality assurance, inspection and quality management team members to understand the basics of quality principles and apply best practices in their work areas. No need to pay $1000 to $3000 per person.  No need to send your people 3 to 5 days off from the work. Certificate of Completion provided. Download pdf study notes. Note: We are not a representative of ASQ®, IASSC® or any other certification organization. ASQ® is the registered trademark of the American Society for Quality. IASSC® is the registered trademark of the International Association for Six Sigma Certification. We are an independent training provider. We are neither associated nor affiliated with the certification organization(s) mentioned in our courses. The name and title of the certification exam mentioned in this course are the trademarks of the respective certification organization. We mention these names and/or the relevant terminologies only for describing the relevant exam processes and knowledge (i. e. Fair Use)...

7. Fundamentals of Healthcare Quality Improvement

4.2

(97)

This course is an introduction to key principles of healthcare quality improvement and patient safety, where you will find the most commonly used quality concepts and methodologies in healthcare. You will learn the fundamentals of healthcare quality improvement, how and when to use them. This course is intended for Clinicians, residents and healthcare staff who want to learn about quality improvement in healthcare settings.+++Quality improvement is a proven, effective way to improve care for patients, residents and clients, and to improve practice for healthcare staff. In the healthcare system, there are always opportunities to optimize, streamline, develop and test processes, and quality improvement should be a continuous process and an integral part of everyone's work, regardless of role or position within the organization. The book contains most of the concepts explained in the course with more details to help you get the most of the topics discussed in the course.+++The "Healthcare Quality Improvement 101" book is a step-by-step guide to improving the performance of health care systems using evidence-based models derived from quality improvement science. Primarily intended for program managers and technical staff including clinicians, residents and healthcare workers who want to learn about quality improvement in healthcare settings in a simple, yet concise and informative way...

8. Improving data quality in data analytics & machine learning

4.7

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All of our decisions are based on data. Our sense organs gather data, our memories are data, and our gut-instincts are data. If you want to make good decisions, you need to have high-quality data. This course is about data quality: What it means, why it's important, and how you can increase the quality of your data. In this course, you will learn: High-level strategies for ensuring high data quality, including terminology, data documentation and management, and the different research phases in which you can check and increase data quality. Qualitative and quantitative methods for evaluating data quality, including visual inspection, error rates, and outliers. Python code is provided to see how to implement these visualizations and scoring methods using pandas, numpy, seaborn, and matplotlib. Specific data methods and algorithms for cleaning data and rejecting bad or unusual data. As above, Python code is provided to see how to implement these procedures using pandas, numpy, seaborn, and matplotlib. This course is for Data practitioners who want to understand both the high-level strategies and the low-level procedures for evaluating and improving data quality. Managers, clients, and collaborators who want to understand the importance of data quality, even if they are not working directly with data...

9. Mastering the Seven Basic Quality Improvement Tools [2022]

4.6

(506)

Using the Seven Basic Quality Tools in 2022: In this course, you will learn the theory behind these seven quality tools and will also learn, to take the power of these tools to the next level using the current computing power. During the post-war industrial revolution, Kaoru Ishikawa proposed seven basic quality tools to improve quality. These seven tools were the backbone of quality improvement in Japan. All workers, supervisors and managers were taught these seven tools to solve a problem and to improve the quality. These were initially introduced in the 1970s. These tools are still relevant even after more than 50 years. By using the power of computers and Microsoft Excel, we can use them today to solve complex problems. Many organizations today might not be collecting data using the manual check sheets (which is one of the tools in this list), but the equivalent of that could be a pivot table in Excel. Note: Students who complete this course have an option to apply for the certification exam by Quality Gurus Inc. and can achieve the Verified Certification from Quality Gurus Inc. It is optional and there is no separate fee for that. The seven quality tools covered in this course include: Cause and effect diagramCheck sheetControl chartHistogramPareto chartScatter diagramFlow ChartIn addition, you will also learn about Run Chart and Stratification. Different sources list the seventh tool differently. In the end, I will present two case studies, to understand how do we use these tools in different situations.✔ The first case study is for an organization that was finding a high repair rate for the painting job. That was leading to the rework of the paintwork and the waste of time and effort in correcting these.✔ The second case study is related to the use of Control Charts to ensure that the required product dimensions are achieved...

10. Sports Writing 104 | How to improve your writing quality?

If you love sports and are looking to get paid for your passion this course is for you!...