Python Training

Apart from our Flagship course Advanced diploma in Bigdata and workshops, we also have course in Java, python, SQL, PySpark, postgreSQL etc, all are instructor led online courses.

Get Trained by Exprienced consultants with multiple decades of experience, Our rates staring as low as 10 USD /hour. We have multiple courses from pyothn to Advanced python each covering from a minimum of 25 Hours to 100 Hours according to ability and aptitude of students.
for more details and Fee discounts
skype: constantinestanley
whatsapp: +91 9895942514



Basic Course

Course Overview:

This introductory course provides a solid foundation in Python programming. Students will learn the fundamental concepts of Python syntax, data types, control flow, and basic input/output operations.

Key Topics:

Introduction to Python: History, features, and environment setup
Variables, data types, and operators
Control flow statements: If-else, loops (for, while)
Functions and modules
Lists, tuples, dictionaries, and sets
Basic input/output operations (console, files)


Intermediate Course

Course Overview:

Building upon the foundation of the basic course, this course delves deeper into Python concepts and introduces advanced topics such as object-oriented programming, regular expressions, and file I/O.

Key Topics:

Object-oriented programming: Classes, objects, inheritance, polymorphism, encapsulation
Regular expressions: Pattern matching and text manipulation
File I/O: File and directory operations
Error handling: Exceptions and try-except blocks
Libraries and modules: Standard library, third-party libraries
Web scraping: Extracting data from web pages


Advanced Course

Course Overview:

This advanced course targets experienced Python developers who want to explore cutting-edge topics and best practices. It covers topics like data structures, algorithms, and web development with Python.

Key Topics:

Data structures and algorithms: Linked lists, stacks, queues, trees, graphs
Algorithms: Sorting, searching, dynamic programming
Web development: Django, Flask, web frameworks
Database interactions: SQL and NoSQL databases
Machine learning: Introduction to machine learning concepts
Python for data science: NumPy, Pandas, Matplotlib