Introduction: Pre-Requisite: Methodology
Transcript of Introduction: Pre-Requisite: Methodology
Introduction: Data Science has now become the most demanding Job of the 21st Century. Peta bytes of data are being generated every
day which has given rise to the demand of data scientists and companies are becoming data companies very rapidly.
Businesses have access to more data than ever before, yet many struggle to make the most of this information. They
need the help of Data Science every step of the way, from the initial capturing of data to interpreting the meaning of
such data in order to make the best decisions based on the results.
According to a McKinsey Global report, there will be a shortage of 1.25 million data professionals in the world by 2025.
Considering this fact, a three modules course is designed for all professionals to adopt to the 4th industrial revolution
regulatory requirements (4th I.R).
Pre-Requisite: All you need to have is a good understanding capability of corporate/business data and a creative mindset for data driven
decisions.
Methodology: All learning, tools applied, and projects will be performed using real world Big Data.
Following main Python’s Libraries will be used on above mentioned Projects: