Courses / Workshops

Course Hosted by: Subhadip Mukherjee, Price: 30USD/2400INR FREE [Python Basic workshop is always free]

Module 1: Introduction to Python

• Lesson 1.1: What is Python? History and Overview
• Lesson 1.2: Installing Python and Setting Up the Development Environment
• Lesson 1.3: Writing and Running Your First Python Program
• Lesson 1.4: Python Syntax and Indentation

Module 2: Basic Data Types and Operations

• Lesson 2.1: Variables and Data Types (int, float, str, bool)
• Lesson 2.2: Basic Arithmetic Operations
• Lesson 2.3: String Manipulation and Formatting
• Lesson 2.4: Working with Booleans and Comparison Operators

Module 3: Control Flow

• Lesson 3.1: Conditional Statements (if, elif, else)
• Lesson 3.2: Loops (for, while)
• Lesson 3.3: List Comprehensions

Module 4: Data Structures

• Lesson 4.1: Lists and Tuples
• Lesson 4.2: Dictionaries and Sets
• Lesson 4.3: Introduction to Arrays (using the array module)

Module 5: Functions

• Lesson 5.1: Defining and Calling Functions
• Lesson 5.2: Function Parameters and Return Values
• Lesson 5.3: Lambda Functions
• Lesson 5.4: Scope and Lifetime of Variables

Module 6: Working with Modules and Packages

• Lesson 6.1: Importing Modules
• Lesson 6.2: Creating Your Own Modules
• Lesson 6.3: Using Python Standard Libraries

Module 7: File Handling

• Lesson 7.1: Reading from and Writing to Files
• Lesson 7.2: Working with CSV and JSON Files
• Lesson 7.3: Handling File Exceptions

Module 8: Error Handling

• Lesson 8.1: Understanding Exceptions
• Lesson 8.2: Try, Except, and Finally Blocks
• Lesson 8.3: Raising and Creating Custom Exceptions

Course Hosted by: Subhadip Mukherjee, Price: 50USD/4000INR

Module 9: Object-Oriented Programming (OOP)

• Lesson 9.1: Introduction to Classes and Objects
• Lesson 9.2: Inheritance, Polymorphism, and Encapsulation
• Lesson 9.3: Abstract Classes and Methods
• Lesson 9.4: Magic Methods and Operator Overloading

Module 10: Advanced Data Structures

• Lesson 10.1: Working with Advanced Collections (Deque, NamedTuple)
• Lesson 10.2: Sets, Frozensets, and Counters
• Lesson 10.3: Linked Lists and Trees (Introduction)
• Lesson 10.4: Stacks and Queues

Module 11: Functional Programming

• Lesson 11.1: Higher-Order Functions
• Lesson 11.2: Map, Filter, and Reduce
• Lesson 11.3: Decorators
• Lesson 11.4: Generators and Iterators

Module 12: Working with Databases

• Lesson 12.1: Introduction to SQL and Database Operations
• Lesson 12.2: Using SQLite with Python
• Lesson 12.3: Connecting to MySQL/PostgreSQL
• Lesson 12.4: ORM with SQLAlchemy

Module 13: Web Development with Python

• Lesson 13.1: Introduction to Flask
• Lesson 13.2: Building RESTful APIs
• Lesson 13.3: Template Rendering with Jinja2
• Lesson 13.4: Introduction to Django (Optional)

Module 14: Data Science and Machine Learning

• Lesson 14.1: High performing data management: Working with Libraries like NumPy, Pandas, Dask, Vaex etc.
• Lesson 14.2: Data Visualization with Matplotlib and Seaborn
• Lesson 14.3: Introduction to Scikit-Learn for Machine Learning
• Lesson 14.4: Working with Real-World Data (Capstone Project)

Module 15: Testing and Debugging

• Lesson 15.1: Writing Unit Tests with unittest and pytest
• Lesson 15.2: Debugging Techniques and Tools
• Lesson 15.3: Code Profiling and Optimization

Module 16: Deployment and Version Control

• Lesson 16.1: Introduction to Git and GitHub
• Lesson 16.2: Continuous Integration and Deployment (CI/CD)
• Lesson 16.3: Packaging Python Applications
• Lesson 16.4: Deploying Python Applications to the Cloud

Course Hosted by: Subhadip Mukherjee, Price: 75USD/6000INR

Please check the details in the below page:

Data Engineering workshop using Python