Python Programming Foundations for College Students
Weekday Evening Batch | Nov 2026
Live online batch exclusively for college students. Classes run Monday to Thursday, 7:30 PM to 8:30 PM IST, from 26 October to 7 December 2026 (25 sessions). Covers Python programming, OOP, MySQL, NumPy & Pandas and GUI programming with Tkinter, with hands-on assignments and two projects.
About This Course
Python Programming Foundations is a practical, beginner-friendly program designed specifically for college students who want a strong foundation in programming.
The course starts with Python fundamentals and moves through object-oriented programming, databases with MySQL, data handling with NumPy and Pandas, and building desktop applications with Tkinter. Students work on assignments, coding exercises and practical projects throughout the program.
No prior Python experience is required.
What You'll Learn
- Python programming fundamentals
- Variables, data types, operators, and control flow
- Functions and reusable code
- Lists, tuples, sets, and dictionaries
- File handling and exception handling
- Object-Oriented Programming in Python
- SQL and MySQL databases: queries, joins and using MySQL from Python
- NumPy for numerical computing
- Pandas for data analysis
- GUI programming with Tkinter: widgets, layouts, events, menus and dialogs
- Connecting a Tkinter desktop app to MySQL
Students will work on:
- Python coding exercises
- Weekly assignments
- Mini projects
- GitHub-based project submissions
Projects
Data Analysis Project
Analyze a real-world dataset using Python and Pandas.
Desktop Application Project
Build a student records desktop app with Tkinter and MySQL.
Who Should Join?
This course is suitable for:
- Engineering students
- BCA students
- BSc Computer Science / IT students
- MCA students
- Beginners who want to start programming with Python
Prerequisites
- Basic computer knowledge
- Logical thinking and willingness to practice
- No previous Python experience required
Learning Outcome
By the end of the course, students will be able to write Python programs, use object-oriented design, work with MySQL databases, analyze data with Pandas, and build working desktop applications with Tkinter.
Students will also complete projects that can be showcased through GitHub as part of their learning portfolio.
Curriculum · 7 modules, 35 lessons
Module 1 — Python Foundations 5 lessons · 3 sessions
- Course orientation, Python setup, IDE and first program · 120
- Course orientation, Python setup, IDE and first program · 60
- Variables, data types, operators, input and output · 120
- Variables, data types and operators · 60
- Input, output and working with strings · 60
Module 2 — Control Flow & Collections 6 lessons · 4 sessions
- Conditions, loops and problem solving · 120
- Conditions and decision making · 60
- Lists, tuples, sets, dictionaries and strings · 120
- Loops and problem solving · 60
- Lists and tuples · 60
- Sets and dictionaries · 60
Module 3 — Functions & Practical Python 6 lessons · 4 sessions
- Functions, parameters, return values and scope · 120
- Functions, parameters and return values · 60
- Modules, exceptions, files, CSV and JSON · 120
- Scope, lambda functions and modules · 60
- Exceptions and error handling · 60
- Files, CSV and JSON · 60
Module 4 — Object-Oriented Python 5 lessons · 3 sessions
- Classes, objects, constructors and encapsulation · 120
- Classes, objects and constructors · 60
- Inheritance, polymorphism, packages, pip and virtual environments · 120
- Encapsulation and inheritance · 60
- Polymorphism, packages, pip and virtual environments · 60
Module 5 — Databases with MySQL 4 lessons · 4 sessions
- Relational databases, MySQL setup, SELECT and WHERE · 60
- INSERT, UPDATE, DELETE, keys and constraints · 60
- JOINs, GROUP BY and aggregate functions · 60
- Using MySQL from Python · 60
Module 6 — NumPy & Pandas 5 lessons · 3 sessions
- NumPy arrays and numerical computing · 120
- NumPy arrays and numerical computing · 60
- Pandas Series and DataFrames · 120
- Pandas Series and DataFrames · 60
- Loading data from CSV and MySQL into Pandas · 60
Module 7 — GUI Programming with Tkinter 4 lessons · 4 sessions
Build desktop applications in Python: windows, widgets, layouts, events, menus and dialogs, ending with a Tkinter + MySQL project.
- Tkinter basics: windows, labels, buttons and entry widgets
- Layouts with pack, grid and place; frames
- Events, forms and input validation; menus and dialogs
- Project: student records desktop app with Tkinter and MySQL
Cancellation & refund policy
- 7 or more days before the batch starts: 100% refund.
- Less than 7 days before the batch starts: 50% refund.
- After the batch starts: No refund will be provided after completion of the first 2 sessions.
- If a student is unable to continue due to a genuine reason, the enrollment may be transferred to the next available batch, subject to approval.
- Missed classes or non-attendance are not eligible for a refund.
- Payment gateway or transaction charges, if applicable, are non-refundable.
- If the batch is cancelled by ConfidentHire Academy, students may choose either:
- A 100% refund, or
- Transfer to another available batch.
- Approved refunds will be processed to the original payment method within 7–10 working days.
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