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Python Introduction

In this module, you will learn about python and the ways of installing it in your system along with other concepts.

Python Installation & Overview

Objective: In this module, you will learn about python and the ways of installing it in your system along with other concepts.

Topics: Basic overview of python, Where to get python?, Installation on windows/Linux, Python Versions, Pycharm and Idle, Story of Python, Python an Interpreted Language, Difference between interpreted and Compiled language, Python's Hello world.

General Syntax & Flow Control

Objective: In this module, you will learn about the syntax used along with the concepts on flow control.

Topics: keywords, functions, operators, Expressions, Datatypes, indentation and its nuances, control statements - if, else, while, for, pass, break, continue.

Python Sequences

Objective: In this module, you will learn and understand the concepts of Python Sequences.

Topics: Python Sequences, List, Dictionaries, Tuples.

Python Programs, Errors, Exceptions & Modules

Objective: In this module, you will understand the process of writing programs with various commands/keywords.

Topics: Functions, its parameters & return values, Global and local variables, Lambda Functions, sorting dictionaries and itemgetter for reverse sorting, Namespace, Errors, Exception Handling, Date and Timestamp, Installing and importing modules, Why Packages or Modules? Default packages in python 2.7.

Regular Expression & OOPs Concepts

Objective: In this module, you will understand, Regular Expression and OOPS Concept in Python

Topics: What is RE? Syntax overview of RE, Comparison of regular expression with other languages, Basic object oriented concept (encapsulation, polymorphism, overloading, overriding), Class and object definition, Public, private protected attributes and methods, Inheritance.

BIG Data, Python & Databases

Objective: In this module, you will understand big data and Python Databases.

Topics: Connecting to RDBMS databases, CRUD operations on databases using python, Big Data introduction, Big Data Architecture, Where does python fit in?

BIG Data Processing via Hadoop

Objective: In this module, you will understand big data and its processing methods.

Topics: Mapper and Reducer, Hive architecture, Hive Queries, Python UDF, UDTF, UDAF.

Basics of Machine Learning & NUMPY

Objective: In this module, you will understand various machine learning concepts and Numpy

Topics: Introduction to Machine Learning, Supervised and Unsupervised Learning, Classification and Regression problem, Learning NUMPY.

Implementing Machine Learning

Objective: In this module, you will learn about the ways of implementing ML

Topics: Learning PANDAS, Learning SCIKIT Learning, KNN algorithm, K-Means Algorithm, Decision tree algorithm.

Project Discussions

Objective: In this module, you will get an overview of your final certification project

Topics: Pulling tweets from twitter, scraping websites and project discussion.

Online live courses have become extremely popular due to the following reasons:

  • Flexibility and convenience of location and time.
  • As the course is spread over a few weeks, you get a chance to practice what you have learnt in a session before the following session. This results in much better understanding and learning
  • You get 24x7 learning support and access to excellent learning resources, subject materials at one place.
  • You can interact and collaborate with the industry experts, instructors, other learners of the course during and after the course
  • Access to the sessions recordings – this is important if you miss a session or want to do a quick revision
  • Provision of real-time cloud based labs.
  • Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python is continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
  • Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
  • Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

Experienced Professional or a Beginner, Anyone who wants to learn programming with Python can start right away!

This course is exclusively designed for professionals aspiring to make a career in Big Data Analytics using Python. Software Professionals, Analytics Professionals, ETL developers, Project Managers, Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation of this widely-used open source general-purpose scripting language, can also opt for this course.