For aspiring data scientists and data miners, Python is definitely a language that you cannot neglect. In addition, it has a relatively low learning curve, so you’ll get proficient pretty quickly and Python is also becoming more popular in the data science industry. Python is the second most popular programming language of the world. Most python coders who also happen to know how to work with Django receive good pays around the globe. The reason behind this is Python being so user friendly and it also have some of its obvious advantages over the other languages. Like its easy to understand, Very Flexible etc.

However to learn any coding language you need adequate guidance. NSOP provides you the same. With world class facilities and top-notch teachers, one can learn the programming language the fun way and by not feeling it simply as some burden on his/her shoulders. Interactive learning sessions make the language fun for the students making it further easy to learn. Extremely clear concepts of the mentors help the trainees to clear their doubts and ask as many as questions they want.

Satisfaction of the learner is the key motto of NSOP. And without fail we deliver it to the students. Our training sessions will certainly open doors of a bright career, where they may excel in ways they never imagined.

It is generally said that Python comes in especially handy when you’re implementing algorithms for production use or when your data analysis tasks need to be integrated with web apps or if statistics code needs to be incorporated into a production database. Thus, training in Python and Django makes one achieve superiority over regular candidates in IT and other departments as well, and NSOP provides you with the opportunity to learn the same as it is the best Python/Django training institute in NOIDA.

Course Features

  • Classes: 30 Hrs in 7 Weeks
  • 2 hrs of classes 3 days a week.
  • Exercise: 12 Hrs
  • Hands on Exercises with Expert Supervision.
  • Parallel Project Assignment: 12 Hrs
  • Live project based on industry standards and demands.