Smart factory,

How is data used in manufacturing?

Gartner, the largest IT consulting firm in the US, stated that the digitalization of the manufacturing industry is accelerating due to the COVID-19 economic crisis, and the manufacturing industry that cannot keep up with this trend amid the new technologies of the Fourth Industrial Revolution will have no choice but to walk a path of failure.

In this way, the process of introducing big data in manufacturing, processes, and facilities and finding meaningful results based on it is now an indispensable process. So, in the manufacturing industry, what kind of data can be used for analysis?

By predicting production volumes, inventory can be managed efficiently.
For quality control, it is possible to establish a classification system to determine whether there is a defect, and to manage defective products by analyzing the cause of the defect.
It will involve applying various machine learning algorithms, finding the most suitable model, and tasks to further improve performance and work efficiency.
You can also create a monitoring dashboard to determine if this process is currently working properly and effectively, and manage it in real time.

Process data analysis, which was hard to learn

I can organize it perfectly with this class.

The reality is that if you are not an incumbent, it is difficult to look directly at the manufacturer's data, and even if you are an incumbent, there are few opportunities to even try out a project if you don't have permission to access the data.

We have prepared a class that reflects all of those needs. This is not just a class where you learn about data analysis.

Learn about data processing and analysis techniques that occur in the industrial sector.

The know-how of consulting leading domestic manufacturing companies for many years was perfectly incorporated into this class.

If you want to work for a manufacturer,
If you need to carry out a smart factory-related project in the manufacturing industry,
If you're in charge of consulting to solve problems with Python,
If you want to try Python data analysis projects in various domains,

This class will be the best choice for you.

Instead of just learning theory, the curriculum is designed so that you can learn the process by directly tearing down and analyzing data encountered in actual companies.

Quality Cost Delivery (QCD) management, the core of the process

When manufacturing products in factories, processes must be operated efficiently to meet the quality/cost/delivery dates required by customers. How can we find insights from data to do this?

In this class Quality, quality data analysis techniquesWe will easily analyze various techniques used to analyze data from actual industrial data using the Python programming language, focusing on

Pareto Chart (Pareto Chart) to identify the main types of facility errors
Control chart (control chart) to check whether the process is stable according to a specific facility
Visualization and statistical hypothesis testing for each key process factor
Establishing a classification system to determine defects (machine learning)

Follow the analysis of the eight major semiconductor processes

Practical data analysis

It covers data on semiconductor processing, which is the most important industry in the domestic manufacturing market. The course is designed so that you can analyze manufacturing data along with a basic understanding of the manufacturing process in process.

Learn core machine learning techniques that can be used on actual data, compare different algorithms, and find the most suitable learning model. Practice how to use models created through tasks to improve model performance.

If you want to learn machine learning properly

It's all in one package!

This class is for people who have used the Pandas library and are knowledgeable about machine learning. If you buy [Python Machine Learning] together, you can take two classes at once at a 39% discount compared to the regular price. Learn about machine learning and manufacturing data analysis all at once with the benefits of a cheaper package.

Go to Python machine learning class introduction page >> (rink)

Click the [Apply for a class] button to take the course all at once!

Learn all about manufacturing and process data analysis with Smart Factory and Python

Learn all about manufacturing and process data analysis with Smart Factory and Python