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Diploma in Python

Learning Format

Live Online / Classroom

Total training duration

240 hrs

Syllabus

24 weeks

Certification

Yes

Diploma in Python

Diploma in Python is a comprehensive course designed to build strong programming skills from basics to advanced levels. It covers core concepts such as data types, loops, functions, and object-oriented programming, along with modules and libraries. Students also learn practical applications in data analysis, web development, and automation. The course includes hands-on projects to develop real-world problem-solving abilities.

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Syllabus Summary

Foundations

  • Installation & Setup: Anaconda, VS Code, PyCharm
  • Python Syntax & Indentation Rules
  • Variables, Operators, Data Types (int, float, str, bool)
  • Control Structures: if, elif, else, for, while

 

Simple Scripts, BMI Calculator

  • Week 3–4: Functions & File Handling
  • Functions, Arguments, Return Values
  • String Operations & Regex Basics
  • File Handling (read, write, append)
  • Exception Handling (try, except, finally)
  • Assignment: Student Grading System, File Manager
  • Mock Interview 1

 

Data Structures & Modules

  • Lists, Tuples, Sets, Dictionaries
  • Nested Structures & Comprehensions
  • Modules & Packages (import, pip)
  • Assignment: Contact Book, Student Marksheet

Object-Oriented Programming

  • Classes, Objects, Methods, Constructors
  • Encapsulation, Inheritance
  • Polymorphism, Abstract Classes & Interfaces
  • Assignment: Banking System, Inheritance Models
  • Mock Interview 2

Advanced Python Concepts

  • Decorators, Generators, Iterators
  • Context Managers, Custom Exceptions
  • Logging & Debugging Techniques
  • Assignment: Custom Iterator, Log Analyzer

Concurrency & Design Patterns

  • Multithreading & Multiprocessing
  • Async Programming with asyncio
  • Design Patterns: Singleton, Factory, Observer
  • Assignment: Async Scraper, Observer Pattern Project
  • Mock Interview 3
  • Specialization Tracks (Choose One)
  • Option 1: Data Analysis

 

Concurrency & Design Patterns

  • Multithreading & Multiprocessing
  • Async Programming with asyncio
  • Design Patterns: Singleton, Factory, Observer
  • Assignment: Async Scraper, Observer Pattern Project
  • Mock Interview 3
  • Specialization Tracks (Choose One)
  • Option 1: Data Analysis

 

Numpy & Pandas for Structured Data

  • Assignment: Weather Dataset Analysis

Data Cleaning & Transformation (Missing Values, Joins, Pivots)

  • Assignment: HR Dataset Transformation

Exploratory Data Analysis (EDA)

  • Visualization with Matplotlib & Seaborn
  • Assignment: Banking Dataset EDA

Time-Series Basics, Stock Market Case Study

  • Assignment: Stock Dataset Project

Workflow Orchestration with Airflow

  • Kafka Streaming Basics
  • Assignment: ETL DAG

Capstone Project: Market Trend Dashboard

  • Mock Interview 4
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Course Summary

Eligibility

Tech & Non-Tech Working professional, Freshers, Graduate from any domain.

Live Doubt Solving

Get your queries solved with daily dedicated doubts solving sessions.

Instructor

Experts and trainer for top-tech companies.

Certification

10+ ISO Globally recognized certified

Mode of Learning

100% Live Learning with experienced instructors and hands-on sessions.

Real time projects

Get practical experience with real-world projects for a career in analytics.

Certification

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