Top Skills You Need To Become a Data Scientist (every job has data). There are ONLY 500K unfilled SCM Data Science jobs on LI. Do not be a victim of technology! See salary report below.

I am fascinated by the $ opportunities w/ Data Science skills. You could make the case that every Business major should minor (or double major) in Data Analytics. These skill sets would perhaps include: Employers place a premium on – 1. Advanced Excel (power query & pivot) & macros;
2. Data visualization (Tableau, Power BI & python w/ seaborn & matplotlib);
3. Data mining/RapidMiner, machine learning & data science;
4. Python & Jupyter notebook (data analytics & statistical libraries such as pandas, numpy);
5. Relational data models (Excel data model);
6. Graphic & statistical libraries (Seaborn, Matplotlib, Pandas, & Plotly).

In talking w/ a colleague, we both agreed that many hiring managers do not have a full understanding of the AI skill sets associated w/ our graduating students. Our SCM students told us many times that their hiring managers valued only the traditional Excel capabilities (lookup functions, pivot tables, etc. – that is NOT AI), & they greatly overlooked the opportunities from other analytical solutions (skill sets that our students have). This makes it a bit difficult to sell the analytical techniques taught in classes that go BEYOND our CIS 2640 (Excel on steroids) – Applied Analytics Foundations.

For example, our data mining class is essentially a machine learning class for business, which is the core of AI. The course is designed to solve the problems that Excel falls short on. Hopefully we do a better job of training our students to “sell” the AI skills & managers (SCM Leaders) become more open to embracing the benefits (which might require a culture change).

Business analytics addresses an increasing demand in orgs of all types to understand data related to their operations. Investments in information systems throughout the enterprise over the last 10-15 years are generating tremendous amounts of data, & orgs will spend at least the next 10 years developing processes that generate insight from those data.

In addition to data generated internally, many orgs are exploring the effects of external data, primarily present in social media, web search, manufacturing, & the SUPPLY CHAIN. The ability to manage data to support business projects are the key to success in many disciplines. Business analytics will provide a comprehensive skill set for SCM professionals & future grads to analyze, VISUALIZE (Tableau & Power BI!), & report data.

This has become a bare minimum:

CIS 2640 Predictive Data Analytics (Excel on steroids): I get this kind of feedback often… – You will be glad to hear that (Anaconda + Jupyter Notebook + Python + visualization libraries) is what we have been teaching in CIS 2650 since the course was created.


Related Posts

Leave a Reply

Your email address will not be published. Required fields are marked *