Course description

1. Introduction to Python Basics: Learn the fundamentals of Python syntax, variables, and basic data types to establish a solid programming foundation.


2. Control Flow: Understand decision-making with if statements, loops for repetitive tasks, and other control flow structures.


3. Functions and Modules: Dive into the world of functions to organize code and explore the use of modules for modular programming.


4. Data Structures: Explore essential data structures such as lists, dictionaries, and tuples, understanding how they store and manipulate information.


5. File Handling: Learn how to read from and write to files, a crucial skill for managing data in real-world applications.


6. Error Handling: Grasp the basics of handling errors and exceptions to write robust and resilient code.


7. Introduction to Object-Oriented Programming (OOP): Get a taste of OOP concepts, including classes and objects, to enhance code organization and reusability.


8. Basic Web Development with Flask: Take a glimpse into web development using Flask, a lightweight web framework, to create simple web applications.


9. Introduction to Data Science with Pandas: Explore the basics of data manipulation and analysis using the Pandas library.


10. Project-Based Learning: Apply acquired skills to small projects, reinforcing your understanding of Python concepts in practical scenarios.

What will i learn?

  • Solid Understanding of Python Basics: Gain proficiency in Python syntax, variables, data types, and basic programming constructs.
  • Problem-Solving Skills: Develop the ability to solve problems using Python, applying logical thinking and algorithmic approaches.
  • Control Flow Mastery: Understand and implement decision-making processes with if statements, loops, and other control flow structures.
  • Functional Programming Knowledge: Grasp the concept of functions and how to use them for code organization and reusability.
  • Introduction to Object-Oriented Programming (OOP): Familiarity with basic OOP principles, including classes and objects, enhancing code structure.
  • Data Handling and Analysis: Explore data structures like lists, dictionaries, and tuples, and gain basic data manipulation skills using Pandas for data analysis.
  • File Handling Proficiency: Acquire skills to read from and write to files, an essential aspect of real-world programming.
  • Web Development Basics: Gain insight into web development using Flask, allowing you to create simple web applications.
  • Error Handling Skills: Learn to identify and handle errors and exceptions, making your code more robust and resilient.
  • Hands-On Project Experience: Apply your skills to real-world projects, reinforcing your understanding and building a portfolio of work.
  • Certificate of Completion: Receive a certificate of completion, validating your achievement and indicating your proficiency in Python programming for beginners.

Requirements

  • Hardware: - A standard personal computer or laptop with at least 4GB RAM. - Reliable internet connection for accessing course materials and online resources.
  • Software: Python: Ensure that Python is installed on your machine. The course may specify a particular version; follow the provided instructions for installation. Code Editor: Choose a code editor of your preference (e.g., Visual Studio Code, PyCharm) for writing and running Python code.
  • Web Browser: Use a modern web browser (Chrome, Firefox, Safari) for accessing online lectures, resources, and discussion forums.
  • Account: Create accounts on platforms used for the course (e.g., course website, forums) to access content and participate in discussions.
  • Commitment: Dedicate a few hours per week to attend lectures, complete assignments, and engage in practical exercises. Consistency is key to effective learning.
  • Curiosity and Eagerness to Learn: Approach the course with an open mind and a willingness to explore and experiment with coding concepts. A curious mindset enhances the learning experience.
  • Communication: Ensure you have the means to communicate with instructors or fellow learners, whether through discussion forums, email, or other designated channels.
  • Project Workspace (for project-based learning): Set up a designated workspace where you can work on course projects without distractions.
  • Optional: Webcam and microphone (if live sessions or video conferencing are part of the course).

Frequently asked question

A: Python is a versatile, beginner-friendly programming language used in web development, data analysis, artificial intelligence, and more. Its clear syntax and extensive libraries make it an excellent choice for newcomers.

No prior experience is required. This course is designed for absolute beginners, providing a step-by-step introduction to Python programming.

You'll learn practical skills applicable in various fields, from automating tasks to analyzing data. Python's versatility makes it valuable for a wide range of industries.

Absolutely! The course encourages active participation, and you'll have opportunities to ask questions and seek clarification on any concepts you find challenging.

The course is designed to be flexible, allowing you to learn at your own pace. However, structured timelines for assignments and projects provide guidance and ensure steady progress.

Yes, upon successful completion, you'll receive a certificate of completion, validating your understanding of Python fundamentals for beginners.

You'll have access to video lectures, interactive coding exercises, supplementary reading materials, and a supportive online community to enhance your learning experience.

Absolutely! This course serves as a foundation. You can explore more advanced Python topics, delve into specialized areas like machine learning, or transition to other programming languages.

Joseph David

Free

Lectures

2

Quizzes

2

Skill level

Beginner

Expiry period

Lifetime

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