Python for Data Science

 This section explains the need for data science to work with exponentially growing data every second. It points out how humans landed on the moon with understanding data and how a system can send millions of emails every day based on previous customer records. 

To understand the process of Data Science, you must first understand its backend. Thus, this module focuses on its architecture. You will go through the five significant steps in the Data Science lifecycle.

For architecture to work, specific components play a significant role. This module will go through four essential components of Data Science in detail.

Among the other career fields, Data Science still stands high as a strong domain. This module starts by discussing Data scientists and the skills needed. Further, it discusses post-COVID Data Science careers. Lastly, you will go through popular Data Science designations.

This module first introduces you to Python. Next, you will go through the significant factors that effectively push students to learn Python.