Master Python Programming with Hirekeyz’s Expert Course

Module 1: Introduction to Python (3 Hours)

What is Python and Why Python?
Installing Python and IDEs (PyCharm, VS Code, Jupyter)
Writing and executing your first Python script
Python syntax, keywords, and indentation
Understanding Python’s dynamic typing
Using the REPL (Read-Eval-Print Loop)

Module 2: Variables, Data Types & Operators (3 Hours)

Variables and assignment
Built-in data types: int, float, str, bool
Type conversion and casting
String operations and formatting
Arithmetic, comparison, logical, and assignment operators

Module 3: Control Flow (4 Hours)

Conditional statements (if, elif, else)
Looping structures (for, while)
break, continue, pass statements
List comprehensions

Module 4: Data Structures (6 Hours)

Lists: creation, indexing, slicing, and methods
Tuples and sets: immutability and usage
Dictionaries: key-value pairs and operations
Nested data structures
Iterating through data structures

Module 5: Functions and Modules (5 Hours)

Defining and calling functions
Function arguments: default, keyword, *args, **kwargs
Return values and scope (local vs global)
Lambda functions and map/filter/reduce
Creating and importing modules
Built-in functions and packages (math, random, datetime)

Module 6: File Handling (3 Hours)

Reading from and writing to text files
Working with CSV, JSON files
File pointers and context managers (with statement)

Module 7: Exception Handling (2 Hours)

Types of errors
Try-except blocks
Finally and else
Custom exceptions

Module 8: Object-Oriented Programming (6 Hours)

Classes and objects
Constructors and instance variables
Inheritance and polymorphism
Encapsulation and abstraction
__str__, __repr__, and special methods

Module 9: Advanced Python Concepts (5 Hours)

Decorators and generators
Iterators and iterable protocol
List, set, dict comprehensions
Context managers and with statements
The collections and itertools module

Module 10: Working with Libraries (5 Hours)

Installing packages using pip
NumPy basics for numerical computation
Pandas basics for data manipulation
Matplotlib for basic data visualization
Regex (re module) for pattern matching

Module 11: Web Scraping and APIs (4 Hours)

HTTP requests with requests module
Parsing HTML with BeautifulSoup
Working with APIs and JSON
Project: Scraping job listings / weather data

Module 12: Unit Testing and Debugging (3 Hours)

Writing test cases with unittest and pytest
Debugging using breakpoints and logging
Code quality and linters (flake8, pylint)

Module 13: Working with Databases (3 Hours)

SQLite with sqlite3 module
Basic CRUD operations
Connecting to external DBs (MySQL/PostgreSQL)

Module 14: Final Project (5 Hours)

Build a CLI To-Do List Manager
Create a Personal Expense Tracker using CSV
Develop a Weather Dashboard using API
Data Analysis on Retail Dataset using Pandas
Project planning, design, implementation, and presentation

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New Age Curriculum

40+ Hours of learning of new tools, models and projects.

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Access to videos, quizzes, and discussions for an engaging learning experience.

Affordable Tuition Fees

Access quality education without the high cost of traditional classrooms.

24/7 Access to Study Material

Get access to recorded videos and assessments.

Who Should Do The Comprehensive Python Programming Course?

Aspiring Analysts
Individuals looking to start a career in data analysis or analytics-related fields.
Career Changers
Professionals from non-technical backgrounds eager to transition into the high-demand field of data analytics.
IT & Engineering Graduates
Students or professionals with technical degrees who want to specialize in data analysis.
Business Professionals
Managers or executives aiming to make data-driven decisions and enhance business outcomes.
Freelancers & Consultants
Professionals who want to offer data analysis as a service to clients.
Upskilling Professionals
Those in adjacent fields like marketing, finance, or operations who want to add data analytics to their skill set.

Check Out Our FAQs!

How long is the course and what's the format?
Our Python Programming Course runs for 8–10 weeks with flexible online classes, instructor led, and self-paced format, ideal for beginners and professionals.
Which tools or environments will I use?
In our Python Programming Online Course, students will practice Python using Jupyter Notebook, PyCharm, and Visual Studio Code, along with popular libraries like NumPy, Pandas, and Matplotlib.
How could this course boost my career?
Learning Python enhances students' career in data science, AI, machine learning, web development, and automation, making you highly in-demand in the tech industry.
What support and learning materials are provided?
The P0ython Programming Online Certification course includes live classes, recorded sessions, coding exercises, real-world projects, and interview preparation support to ensure hands-on learning.
Do I need any prior experience?
No prior programming knowledge is required for our Python Programming Certification as it is beginner-friendly and starts from scratch, gradually building up to advanced Python skills.

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