HKSQ Webinar on: Boosting your data analysis power with Python

HKSQ organized webinar named “Boosting your data analysis power with Python” on 23^rd Jun 2023. In today's data-driven world, the ability to use Python for data analysis is increasingly important for quality practitioners. In the beginning, Dr. Jane Wong (Chairman, HKSQ) introduced the guest speaker Mr. Ray Chen. He is six sigma black belt and quality expert as well as member of HKSQ & ASQ. (Remark: He is in Canada for this webinar.) 

In the beginning, Mr. Ray Chen briefed today’s talk contents including Python introduction, data analysis in quality and demonstration of python. Python is a programming language created by Guido von Rossum and first released in 1991. It is very popular because of high level language (like human) and open source (free of charge).

Then he introduced different software for data analysis including NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow and PyTorch, … etc.

Some common integrated development environments (IDE) are briefed such as PyCharm, Jupyter, Spyder, Anaconda, Google Colab, … etc.

Where Google Colab is cloud-based and free access to GPUs. It is very suitable for using python and machine learning. 

After that he introduced correlation and regression application in the different industries for quality improvement.

Finally, Mr. Ray Chen demonstrated the application using Python under Google Colab.

During Q&A, I asked what is benefit to use Python compared with statistical packages (e.g. SPSS and Minitab)? He said that Python is free and flexible to design different application. Statistical package is expensive annual fee. Moreover, Python community could help if you have technical problem.

Reference:

HKSQ - https://hksq.org/