Many people will tell you that you can’t become a data scientist until you master the following: statistics, linear algebra, calculus, programming, databases, distributed computing, machine learning, visualization, experimental design, clustering, deep learning, natural language processing, and more.
That’s simply not true.
So, what exactly is data science? It’s the process of asking interesting questions, and then answering those questions using data.
If data is ‘the new oil’, then the data scientist functions much like an oil refinery, converting data into insights that can both save money and generate capital
-Eva Short
In this Webinar, we will cover:
What is Data Science?
Scope of Data Science.
Top companies using Data Science.
How can you make a Transition into Data Science.
Career QAs
Join us in this Webinar to have a better understanding, how to get started with Data Science