Jun30
I see lot of posts or blogs around what skills are really needed to be in data science and AI? I thought about writing few insights from my academic learning, professional experience and my podcast/show #SoLeadSaturday.
I was in a technical school from 8th to 10th grade, from small town, back in India. Just to give an idea about what technical school means, and how it differentiates from traditional normal grades, I had subjects from Computer Science[CS] and many other engineering fields during my 8th to 10th grade, such as Foundations of CS, C programming, graphics design, welding, metal smoothing and so on. Even my school used to have industry visits, in MIDC to see real applications of it. During my engineering degrees or work experience I learnt lot more about SDLC cycles and more valuable real skills like, people, communication, collaboration, presentation, roles, responsibilities, visibility, management, leadership and so on .
The big question I come across is do I need Computer Science degree or background of C or C++ programming languages to learn latest programming language trends in data science and AI space which are Python or R? My answer is "No". Even though you have background in C or C++ programming languages those are object oriented languages. Python is an interpreter programming language and R is an open source programming language. When I learnt C programming in 8th to 10th grade I had no Computer Science degree, so it really doesn't matter at all, neither there is any link between these programming languages with python or R or your prior academic degree. Read More
Keywords: AI, Analytics, Leadership
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