Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Data-Driven Decision Making (DDDM)
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 by
-
Self Paced
-
English
Water: an essential resource
One of the most obvious claims in our everyday life is the importance of water, often called the blue gold. Anyway, we are often incapable of shifting this importance in tangible actions aimed at protecting this resource and optimizing its use. Past and present anthropic pressure has heavily impaired fresh water, usually supplied for drinking water production. Water utilities and water-treatment practitioners were unprepared to effectively face the challenge of a growing high-quality water demand, especially in climate change scenarios.
-
Course by
-
Self Paced
-
4 hours
-
English
Data Analysis and Visualization
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.
-
Course by
-
Self Paced
-
11 hours
-
English
RStudio for Six Sigma - Control Charts
Welcome to RStudio for Six Sigma - Control Charts. This is a project-based course which should take under 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will learn to identify data types (Variables, Attribute Type I & II), understand the overview of Statistical Process Control, pick the right Control Chart based on the data type and other criteria, plot and interpret control charts.
-
Course by
-
Self Paced
-
2 hours
-
English
Accounting for Business Decision Making: Strategy Assessment and Control
Accounting information is the lifeblood of the organization, as it facilitates and influences operational and strategic decisions intended to achieve organizational goals. Organizations benefit from three decision-oriented roles of accounting: measurement, control, and communication. This course provides an introduction to accounting’s role in helping managers develop and implement, and improve the organization’s strategy.
-
Course by
-
Self Paced
-
16 hours
-
English
Intelligent Machining
Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. This is called intelligent machining, and through this course students will receive a primer on its background, tools and related terminology. Learn how the integration of smart sensors and controls are helping to improve productivity.
-
Course by
-
Self Paced
-
11 hours
-
English
Sensor Manufacturing and Process Control
"Sensor Manufacturing and Process Control" can also be taken for academic credit as ECEA 5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is our fourth course in our specialization on Embedding Sensor and Motors. To get the most out of this course, you should first take our first course entitled "Sensors and Sensor Circuits", our second course entitled "Motor and Motor Control Circuits", and our third course entitled "Pressure, Force, Motion, and Humidity Sensors".
-
Course by
-
Self Paced
-
55 hours
-
English
Semiconductor Packaging Manufacturing
This course will provide information on the various stages of semiconductor package manufacturing, including sort, assembly, and final test. In addition, we will also describe how to select, build, and test the packages with the die and other components to ensure the quality of the package and total assembly performance. We will also discuss the role of Process Control Systems in semiconductor manufacturing as they relate to quality testing. Specifically, we will explore how Process Control Systems can help identify and correct process problems that cause variation and quality issues.
-
Course by
-
Self Paced
-
9 hours
-
English
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.
-
Course by
-
Self Paced
-
10 hours
-
English
Six Sigma Advanced Improve and Control Phases
This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance.
-
Course by
-
Self Paced
-
10 hours
-
English