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Lesson 1:  Introduction to Python

o             Introduction to Python, installation of Python

o             Anaconda Python distribution for WindowsMac, Linux, input, Jupyter notebook installation

o             variable assignment

o             object oriented programming, inheritance, class, method, object variables

o             control statement

o             datatypes integer, float, string and output command

o             for ,while loop, accessing and slicing tuples

o             basic operators, functions, control flow

o             array manipulation, advanced slicing

o             beautiful soup, navigation tree

o             creating own module

o             module name, dir function

o             docstring.           

 

Lesson 2: Mathematical Computing with Python

o             Overview of NumPy, properties, purpose and types of array

o             class and attributes of array objects

o             basic operations

o             slicing

o             indexing

o             iteration

o             indexing

o             accessing array elements

o             ND-array object

o             Datatype

o             universal function

o             shape manipulation, linear algebra,broadcasting

o             dataframe, panel

o             array for existing data

o             numerical range

o             NumPy indexing and slicing.

 

Lesson 3 Scientific Computing with Python

o             SciPy and its characteristics

o             SciPy sub-packages for integration

o             Optimization

o             Statistics

o             weave.

 

Lesson 4: Data Manipulation with Python

o             Introduction to Pandas

o             creating Dataframes, datastructures, missing value, series, data operations

o             data standardization

o             Pandas file read and write support

o             SQL operation

o             Groupby

o             creating series from dictionary

o             exception

o             Pandas series

o             accessing data from series.

 

Lesson 5: Python File System

o             The file system in Python

o             defining a class

o             handling of file

o             various types of exception handling

o             API in Python database

o             Python SQLite. 

 

Lesson 6: Deploying Python on Hadoop

o             Understanding Hadoop and its various components

o             Hadoop ecosystem and Hadoop common

o             HDFS and MapReduce Architecture

o             Python scripting for MapReduce Jobs on Hadoop framework.

 

Lesson 7: Python Components and Functions

o             Understanding Python core concepts

o             familiarizing with the Python Dictionary

o             various Functions in Python including Lambda function

o             extensive Python Libraries.        

 

Lesson 8: Sandbox Management

o             Managing the Sandbox

o             learning about Sandbox remote login

o             working with HDFS file system and the Mapper and Reducer functions.

 

Lesson 9: Scikit-Learn Natural Language Processing

o             Introduction to natural language processing (NLP

o             NLP approach for text data

o             environment setup, sentence analysis

o             applications

o             major libraries

o             built-in modules

o             approach feature extraction

o             bag of words, model training, search grid

o             multiple parameters

o             pipeline.             

 

Lesson 10: Python Web Scraping for Data Science

o             Introduction to Python web scraping

o             web scraping libraries, installation of beautiful soup

o             common data and page format on the webimportance & kinds of objects

o             Navigable String

o             understanding & searching tree

o             navigating options

o             the parser

o             search tree

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