In this module, you will learn about python and the ways of installing it in your system along with other concepts.
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.
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.
Objective: In this module, you will learn and understand the concepts of Python Sequences.
Topics: Python Sequences, List, Dictionaries, Tuples.
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.
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.
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?
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.
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.
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.
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:
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.