Summer Python Master Class
This Summer Python Coding Masterclass is designed to help students build a strong foundation in programming while learning in a structured and engaging way.
During the course, students will learn:
• Introduction to programming and how coding works
• Python basics in a simple and easy-to-understand format
• How to write real Python programs step by step
• Understanding variables, data types, and important keywords
• Taking user input and displaying output professionally
• Using if-else conditions to create decision-based programs
• Writing logic for small real-world problems
• Creating fun mini projects and beginner-friendly games
• Developing logical thinking and problem-solving skills
• Building confidence in using computers for learning and creativity
By the end of the course, students will not only understand Python fundamentals but will also be able to create their own small programs independently and continue learning advanced coding in the future 🚀
Topics Covered
- Introduction to python
- Keyword
- Variable
- Datatype
- Operators
- Input & Output Fucntion
- Logic Building
- Decision Making using If-else
- Loops
- Bonus Programs
Numpy for Data Science
Become Industry-Ready in Data Analysis, AI and Machine Learning Stop Learning Python Like a Beginner… Start Learning Like a Data Scientist
Most students learn Python but get stuck when they try to enter Data Science or AI. Why? Because they don’t know how to work with real data. This course is specially designed to take you from:
Simple Python coding
To
Real Data Science skills using NumPy What Makes This Course Different? This is not a theory course. This is a career-focused NumPy program where you will learn how real Data Scientists work with data. Inside this course you will learn:
How to work with large datasets efficiently How to clean messy data (missing values / NaN handling) How to analyse real data using statistic How NumPy is used inside Machine Learning How to write faster and optimized Python code How to prepare data like a professional Data Scientist
Topics Covered
- Numpy Introduction
- Creating 1D and 2 D array
- Understanding Array Structure
- Indexing and Accessing data
- Slicing Data
- Mathematical Operation
- Mathematical Fucntion
- Reshaping
- Filtering Data
- Random Number
- Data Cleaning
- Working with real dataset
Learn HTML To Create Real Website
By the end of this course students will be able to:
- Create a full website from scratch
- Add colours, buttons, images, and links
- Create forms (like real websites)
- Design a student profile website
- Design a mini business website
- Upload their website files
Topics Covered
- Introduction to Web Development
- HTML Basic Tags
- Changing text content using br,hr,paragraph,heading
- Text Styling like Bold,Italic,Underline,Highlight
- Font Size ,Text Alignment
- Inserting Image
- Inserting Links and buttons
- Creating list – ul and ol
- Creating tables
- Creating forms
- Creating real website using Gen AI tools