Python Beginners Course

Master the basics of Python programming in 10 weeks

Python Beginners Course

Begin your programming journey with our comprehensive "Python Fundamentals Course". Over ten weeks, you'll learn how to code in Python from the ground up, understand core programming concepts, and build practical applications that solve real-world problems. Perfect for complete beginners with no prior coding experience. CerebraLabs is conducting this Python course with 30 minute classes held everyday.

In this course, you will learn:
Learn Python basics: syntax, data types, and core programming concepts.
Manipulate and organize data: work with variables, strings, numbers, lists, and dictionaries.
Master control structures and automation: use conditionals, loops, and functions for efficient coding.
Handle files and errors: read/write files and manage exceptions.
Extend Python: utilize libraries and modules for advanced functionality.
Build a project: apply skills to create a complete Python application.

Benefits of Taking Our Course:
Beginner-Friendly Approach: Start with the basics and build your programming skills step by step.
Practical Application: Gain hands-on experience through coding exercises and projects.
Problem-Solving Skills: Learn to think like a programmer and solve complex problems.
Versatile Skill Development: Master a language used in data science, web development, automation, and more.
Personalized Feedback: Receive guidance on your code and projects for continuous improvement.
Structured Learning Path: Follow a clear curriculum designed to build your skills progressively.

Who is this course for?
Complete beginners with no prior programming experience.
Students interested in computer science or data science.
Anyone curious about how programming works.
Self-learners who want a structured approach to learning Python.

Start your coding journey with us today!

Enroll Now!

    Getting Started with Python:
  • What is Python and why is it popular?
  • Python's applications in data science, web development, and automation
  • Setting up your Python development environment

    • First Steps in Coding:
  • Writing your first Python program
  • Understanding Python syntax and structure
  • Using the Python interpreter and running scripts

    Variables and Data Types:
  • Creating and using variables
  • Understanding different data types (integers, floats, strings, booleans)
  • Type conversion and checking

    • Working with Strings:
  • String manipulation and formatting
  • String methods and operations
  • User input and output

    Conditional Statements:
  • Using if, elif, and else statements
  • Comparison and logical operators
  • Nested conditionals

    • Decision Making in Code:
  • Building decision trees in your programs
  • Truth value testing
  • Conditional expressions (ternary operators)

    Loops in Python:
  • For loops and iteration
  • While loops and loop control
  • Loop patterns and techniques

    • Practical Automation:
  • Automating repetitive tasks
  • Loop efficiency and optimization
  • Nested loops and complex iterations

    Functions in Python:
  • Defining and calling functions
  • Parameters, arguments, and return values
  • Function scope and variable visibility

    • Advanced Function Concepts:
  • Default and keyword arguments
  • Variable-length arguments (*args, **kwargs)
  • Lambda functions and functional programming concepts

    Lists and Tuples:
  • Creating and manipulating lists
  • List methods and operations
  • Tuples and their use cases

    • Dictionaries and Sets:
  • Working with key-value pairs in dictionaries
  • Dictionary methods and operations
  • Sets and set operations

    File Operations:
  • Opening, reading, and writing files
  • File modes and file objects
  • Working with file paths

    • Data Processing:
  • Processing text files line by line
  • Working with CSV files
  • Introduction to JSON data

    Exceptions and Error Handling:
  • Understanding exceptions in Python
  • Using try, except, else, and finally blocks
  • Handling specific exceptions

    • Debugging Techniques:
  • Common Python errors and how to fix them
  • Debugging strategies and tools
  • Writing robust, error-resistant code

    Python Libraries and Modules:
  • Understanding the Python Standard Library
  • Importing and using modules
  • Creating your own modules

    • Popular External Libraries:
  • Introduction to NumPy for numerical computing
  • Exploring Pandas for data analysis
  • Using Requests for web API interactions

    Final Project:
  • Building a complete Python application
  • Applying all concepts learned throughout the course
  • Project presentation and code review

    • Course Review and Next Steps:
  • Reviewing key Python concepts
  • Resources for continued learning
  • Career paths and opportunities with Python

Course Details

  • Duration: 10 days
  • Schedule: Consecutive Days
  • Course Fee: PKR 1200
Python Programming Course