Python and Data Science (NEC)

This course is for the intermediate to Advance level participants. The participants need not have any prior exposure to Python programming language. Prior familiarity with some other programming language (such as Java or C++) would be useful, but it is not mandatory for audience. The course coverage and pace would vary slightly, depending on the composition of the batch. If the training is for participants who are already familiar with some other object-oriented programming language, such as C++ or Java, the initial parts covering the basic language constructs as well as introduction to the OO concepts could be completed faster, and more time could be spent on some of the advanced aspects of the course.

Some of the key skills you will gain upon completion of this program include: ▪ Basic Language Syntax ▪ Object Oriented Features in Python ▪ Exception Handling ▪ Regular Expression ▪ Itertools and Collections framework ▪ Threading ▪ DataScience

If the training is for a batch of participants who are new to any programming language, then even the basic language constructs would require more detailed explanation and practice work, and coverage of some of the later, advanced topics would be curtailed.

Lab Setup:- Computer with the following softwares: Operating System: Window8/10 or Ubuntu16.04 or MacOs 10.10.X Anaconda ( Latest ) Python 3.6.x with Anaconda http://continuum.io/downloads#34 http://continuum.io/downloads#all Numpy, Scipy, Pandas, Matplotlib etc. Acrobat Reader / Libre Office / MSOffice etc. Hardware : RAM: Minimum 4GB / 8GB ( Recommended ). Internet Connectivity. ( Needed to Install Packages and Run Anaconda Server ). 80 GB HDD.

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