Python Programming for Beginners

Ready to unlock the power of Python? Join our 3-month online course and master the fundamentals of one of the world's most popular programming languages!

 

Course Duration: 3 months (12 weeks)

  • No prior experience needed: Whether you're a complete beginner or just curious about coding, this course is your perfect starting point.

  • Live interactive sessions: Learn from experienced instructors in real-time, ask questions, and get individual feedback.

  • Hands-on learning: Dive into practical exercises, build your own projects, and watch your skills grow week by week.

  • Master essential concepts: From variables and loops to modules and web scraping, gain a solid foundation in Python programming.

  • Unleash your creativity: Build games, analyze data, automate tasks, and explore endless possibilities with your newfound skills.

Schedule:

  • Live interactive sessions: 2 hours per week (flexible to evenings or weekends)
  • Self-paced learning: additional 4-6 hours per week for practice, assignments, and project work
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Curriculum

Month 1: Programming Foundations (4 weeks)

Week 1: Introduction to Programming & Python Basics (2 hours)
  • Understanding fundamental concepts: variables, data types, operators, control flow (if/else, loops)
  • Setting up development environment: installing Python, using interactive platforms like Colab or Repl.it
  • Hands-on session: writing simple Python scripts
Week 2: Functions & Debugging (2 hours)
  • Defining and using functions for reusable code and program organization
  • Debugging techniques: identifying and fixing errors in code
  • Hands-on session: building functions and practicing debugging strategies
Week 3: Data Structures & Lists (2 hours)
  • Working with data structures: lists, tuples, dictionaries for efficient data storage and manipulation
  • Accessing and modifying elements in lists using indexing and slicing
  • Hands-on session: implementing data structures in practical exercises
Week 4: Loops & Iteration (2 hours)
  • Mastering various loop types (for, while) for automating repetitive tasks
  • Nested loops and their applications
  • Hands-on session: building programs using different loop patterns

Month 2: Intermediate Concepts (4 weeks)

Week 5: Modules & Packages (2 hours)
  • Importing and using pre-written modules and packages to extend Python capabilities
  • Popular libraries: NumPy, Pandas, Matplotlib for data analysis and visualization
  • Hands-on session: exploring modules and building basic data visualizations
Week 6: Files & Exceptions (2 hours)
  • Reading and writing data from files for persistent information storage
  • Exception handling: preventing crashes and handling errors gracefully
  • Hands-on session: working with files and implementing exception handling techniques
Week 7: Object-Oriented Programming (OOP) (2 hours)
  • Understanding OOP concepts: classes, objects, attributes, methods
  • Designing and implementing custom classes to represent real-world entities
  • Hands-on session: building an object-oriented program example
Week 8: Web Scraping & APIs (2 hours)
  • Extracting data from websites using BeautifulSoup tools
  • Interacting with APIs to retrieve data from external sources
  • Hands-on session: web scraping a simple website and connecting to an API

Month 3: Project Focus & Beyond (4 weeks)

Week 9: Project Brainstorming & Planning (2 hours)
  • Choosing a project that applies learned skills: simple game, data analysis tool, web application
  • Defining project requirements, breaking it down into tasks, and setting a timeline
  • Hands-on session: brainstorming project ideas and developing a project plan
Week 10-12: Project Development & Deployment (6 hours per week)
  • Implementation: working on the project step-by-step, referring back to learned concepts
  • Practice good coding practices, utilize resources and forums for support
  • Hands-on sessions: dedicated time for individual project development with instructor guidance
Week 12: Project Showcase & Graduation (2 hours)
  • Presenting completed projects to peers and receiving feedback from instructors
  • Graduation ceremony and awarding certificates of completion

 

Apply now for this Course

All courses are taken live and are instructor-led, you will be taught by a professional and required to have a passing grade to graduate