Python for Data Science

 Module 1: Introduction to Python - The Python Philosophy 
- Fundamentals 
- Using python interpreter 
- Running Simple python programs 
- Variables
Module 2: Data structures & Control flow  
- Lists 
- Tuples 
- Dictionaries 
- A detailed treatment of the string facilities of Python 
- Conditional Statements 
- Loops 
- Variables revisited
Module 3: Functions, File Handling
- Functions 
- Recursive functions 
- File handling, I/O
Module 4: Object Oriented Programming
 - Overview of Object-oriented programming 
- Constructor 
- Objects, Instances and classes 
- Encapsulation 
- Polymorphism 
- Inheritance and the object hierarchy
 Module 5: Web Scrapping - web scrapping using BeautifulSoup 
- web scrapping using regular expressions 
- fetching data using urllib
Module 6: SciPi Environment 
- Setting up scientific computing environment 
- Using ipython & jupyter
Module 7: Data Preprocessing 
- Using numpy 
- Using pandas for data pre-processing
Module 8: Data visualization 
- Using matplotlib 
- Using seaborn

Training Schedule:

08 Days: 28-29 Oct; 11-12, 18-19,25-26 Nov 2017  
Saturday Time: 9:30 AM - 1:00 PM

Sunday Time: 8:00 AM – 1:00 AM
All the information regarding Fees, discounts and Registration Form is available here.
Page Last Updated: Friday 15-Sep-2017 10:00:50 IST