Provide a strong statistical thinking with a good understanding of the applications of probability, calculus and linear algebra in model building. Build a strong reasoning framework to convert any business problem into an inferential analytics framework.
Provide a solid foundation in programming concepts required for a successful data analyst and data scientist. We learn to use R to perform data analysis and visualization. Additionally we inculcate skills to investigate data issues interactively using R Studio.
Convert raw data into insights and help understand what factors drive a specific business outcome and to what extent. We help in building strategies to link these models to business actions.
To get a robust understanding of Data Science, knowledge of few other topics is very crucial. We will mainly focus on some of the other important topics needed for a Data Science professional in this section