Is Python a must-have skill in the supply chain? 200K vacant jobs on LinkedIn say yes. If you want to specialize in data & become a Supply Chain Analyst (25K jobs on LI) / Supply Chain Data Scientist (500K jobs on LI – that’s all).

A while back, I made these points about our CIS 2650 class (Programming for Data Analytics) and our Business Data Analytics minor in general. Do these points still largely apply? We think so.

CIS 2650 is not just a Python class, but instead a Python class for analytics. There is a difference there. In a traditional Python class, people teach Python straight for the whole semester with so much of syntax, data structure, software development, etc. That type of class is mostly designed for CIS and CS. What we do is different. It is Python in a popular analytics platform (more technically speaking, it is Python in Jupyter, which is an analytics platform that data science and business analytics programs do).

·       We studied the top skills in analytics jobs & Python was among the top skills. 
·       The visualization libraries in Python can produce the kind of visualizations not available in Tableau & Power BI. Students will be able to differentiate themselves from other schools.  
·       Tableau & Power BI recently added Python or Python+Jupyter because certain Python analytics & visualization are not available in Tableau and Power BI. Using them together makes it a powerful analytics solution (e.g., the ability to transform visualization into implementable actions).  
·       All data scientists stress the importance of Python in analytics programs. Note, “data scientist” is one of the fastest growing career paths with escalating salaries because not enough people are good at this stuff.  
·       Python are “R” are both number one & two in analytics, but Python is easier to learn compared to R. 
·       Past experience in our SCM program (3+ semesters of experience in CIS 2650) shows that non-technical students (SCM, marketing, accounting, etc.) are able to handle the content that we designed. 
·       Python + Jupyter (or its variant) are used in Big Data (Hadoop, Microsoft Azure, Amazon AWS, etc.). It can also be used with/on SAP HANA, IoT, AI, Blockchain, and smart contracts to implement supply chain visibility, and other SC related solutions, etc.  

We believe the above points are still valid. Here is some evidence:
·       We studied the top skills in analytics jobs & Python was among the top skills. 
·       Python is among the top skills for data analysts (Skill number 4 in the list): https://lnkd.in/e6r8_KBy
·       https://lnkd.in/e7xyUYGs
·       The visualization libraries in Python can produce the kind of visualizations not available in Tableau & Power BI. Students will be able to differentiate themselves from other schools.

How much Python do I need in order to excel in SCM?
https://lnkd.in/e6Rmzpw

Will technology replace SCM jobs?
https://lnkd.in/eu7ANq6

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