Python
About
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This 28-day online internship is designed for college students with little to no programming experience who want to learn Python, a versatile and beginner-friendly programming language. Participants will gain hands-on experience, practical skills, and a solid foundation in Python programming concepts.
Topics Covered
- Introduction to Python programming language
- Basic syntax, data types, and variables in Python
- Conditional statements (if, elif, else) and loops (for, while)
- Lists, tuples, dictionaries, and sets in Python
- Functions and modular programming
- File handling in Python
- Exception handling and error management
- Introduction to object-oriented programming (OOP) concepts in Python
- Working with libraries and modules (e.g., math, random, datetime)
- Basic data manipulation and analysis with Python libraries (e.g., pandas, NumPy, Matplotlib)
Tasks
- Write Python scripts to perform basic arithmetic operations and manipulate strings.Implement conditional statements and loops to solve simple problems.Create and manipulate lists, tuples, dictionaries, and sets in Python.
- Implement conditional statements and loops to solve simple problems.Create and manipulate lists, tuples, dictionaries, and sets in Python.
- Create and manipulate lists, tuples, dictionaries, and sets in Python.
- Complete small coding projects (e.g., a simple calculator, a data analysis script) using Python.
Benefits
- Beginner-Friendly Learning: The program is tailored for students new to programming or Python, providing a gentle introduction and hands-on practice.
- Practical Skills Development: Gain practical experience through coding exercises, projects, and problem-solving tasks.
- Solid Foundation: Build a strong foundation in Python programming concepts and techniques.
- Certificate of Completion: Receive a certificate upon completing the internship, validating Python programming skills.
Important Dates
- Registration Deadline: May 12, 2024
- Next Batch Starts: May 15, 2024
Note: Stuboard has the complete right to change the batch date and timing, training cost, training topics, and tasks based on the batch size and resource availability.