• Installing and configuring PYTHON environment.
  
• Using Python Interpreter.
  
• Invoking the Python interpreter.
  
• Python as calculator.
  

• Python files I/O Functions
• Numbers
• Strings and related operations
• Tuples and related operations
• Lists and related operations
• Dictionaries and related operations
• Sets and related operations.

• Functions
• Function Parameters
• Global Variables
• Variable Scope and Returning Values
• Lambda Functions
• Object-Oriented Concepts
• Standard Libraries
• Modules Used in Python
• The Import Statements
• Module Search Path
• Package Installation Ways
• Errors and Exception Handling
• Handling Multiple Exceptions.

• Python Revision (numpy, Pandas, scikit learn, matplotlib)
• What is Machine Learning?
• Machine Learning Use-Cases
• Machine Learning Process Flow
• Machine Learning Categories
• Linear regression
• Gradient descent

• NumPy - arrays
• Operations on arrays
• Indexing slicing and iterating
• Reading and writing arrays on files
• Pandas - data structures & index operations
• Reading and Writing data from Excel/CSV formats into Pandas
• matplotlib library
• Grids, axes, plots
• Markers, colours, fonts and styling
• Types of plots - bar graphs, pie charts, histograms
• Contour plots

• Dealing with syntax errors
  
• Exceptions
  
• Handling exceptions with try/except
  
• Cleaning up with finally 
  

• About o-o programming
  
• Defining classes
  
• Constructors
  
• Instance methods
  
• Instance data
  
• Class methods and data
  
• Destructors 
  

• RE Objects
  
• Pattern matching
  
• Parsing data
  
• Sub expressions
  
• Complex substitutions
  
• RE tips and tricks 
  

• What is a module?
  
• The import statement
  
• Function aliases
  
• Packages 
  

• Grasps data in advanced analytics and information image victimization Python-pandas 
  
• Implementation of Basics and Advanced Python ideas.
  
• Leverages skills in OOP, Expression, information varieties and process.
  
• Enhances data in Package Installations and XLS, Json Parsing and internet Scraping.
  
• Enhances skills in implementation of python core objects and file handling operations.
  
• Knowledge in usage of Python for writing and deploying Pig, UDF and Hive UDF.
  
• Real Time Industry-Based comes on Python
  

Python is extremely widespread object homeward language that is straightforward to find out and straightforward to deploy further. Python will simply run on varied systems like Linux, windows, and Mac. when the completion of Python training, aspirants will simply work on massive information Hadoop setting for terribly high earnings package vary. Python is complete with Language ability and documentation system with ranked module system to spice up revenues.

The pre-requisites for Python course include the basic understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. 

Yes, we offer self paced training

We offer three different modes of training. Instructor Led Live Training, Self Paced Training and Corporate Training

Yes we offer discounts for group of 3 plus people.

Yes we are the only company where we work with students and offer flexible timings which fits your schedule

All our instructors are from MNC companies who have real time experience of more than 10 years.

Yes we offer a free demo session with the instructors. The trainer will answer all your queries and share the course agenda.