Python Internship Program

Categories: Internship
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About Course

This internship is designed to provide students with hands-on experience in Python programming through structured lessons, guided projects, and real-world applications. It combines fundamentals, automation, APIs, data analysis, and visualizations — making it ideal for anyone looking to enhance their programming and employability skills.

Interns will work through a curated Python course that blends video-based learning, coding practice in Jupyter and Google Colab, and project-based evaluation. You’ll also receive guidance on GitHub project uploads, LinkedIn portfolio building, and resume writing with technical proof.

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What Will You Learn?

  • Write clean and functional Python code using variables, loops, conditionals, and functions
  • Work with core data structures like lists, dictionaries, sets, and tuples
  • Handle files and user input in Python, and manage exceptions gracefully
  • Fetch and manipulate real-time data using public APIs
  • Use regular expressions for text validation and automation
  • Analyze datasets with Pandas and NumPy
  • Visualize data using Matplotlib and Seaborn
  • Build mini projects such as:
  • BMI Calculator
  • File Organizer
  • Cryptocurrency Dashboard
  • Weather App
  • Fun Fact Generator
  • Work in Google Colab and Jupyter Notebooks
  • Upload projects to GitHub and optimize LinkedIn profiles for career opportunities

Course Content

4-week Internship Plan

  • Week1: Introduction & Setup – Getting Started with Python
  • Week 1 Goal: Make Your LinkedIn Profile Work for You
  • Week 2: Python Logic, Projects & GitHub
  • Week 2 Goal: Create a Resume That Gets You Noticed
  • Week 3: APIs, Automation & Real-World Python
  • Week 3 Goal: Practice Before You Pitch — Mock Interview Essentials
  • Week 4: Data Analysis, Visualizations & Internship Completion
  • Week 4 Goal: Tell Your Internship Transformation Story
  • Internship Completion, Certification & What’s Next

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