Data science is an interdisciplinary field of scientific processes, methods, and systems. It is used to extract insights from data in many forms, either structured or unstructured. With data at its core, it employs an extensive range of methods on the data to extract crucial insights from it.

This was a brief Introduction to Data Science. If you choose to set out on Python for Data Science, we’ve compiled a to-do list for you:

Learn Python for Data Science – The…

It is often seen that projects often overshoot their normal completion data by at least three times most probably owing to shifting goals, inefficient approaches towards data collection and exploring various solution paths among others. A closer scrutiny often reveals that the delay was avoidable had there been a more disciplined decision making in place. To put it in a nutshell, there are three major principles which closely followed have reduced the entire project…