Bestseller
Bestseller
CERTIFICATE IN PYTHON PROGRAMMING – LEVEL III
Duration: 3 Months
The Certificate in Python Programming – Level III is an advanced-level Python course designed for learners who have successfully completed Python Level I and Level II or possess intermediate programming knowledge. This course focuses on data analysis, data visualization, application development, automation, API integration, and the fundamentals of Artificial Intelligence and Machine Learning.
The curriculum is designed to bridge the gap between programming fundamentals and real-world software development by introducing students to industry-relevant tools and technologies such as NumPy, Pandas, Matplotlib, Tkinter, databases, web automation, and APIs.
Students will gain hands-on experience in analyzing data, creating professional reports and visualizations, building graphical user interface (GUI) applications, automating repetitive tasks, integrating external services through APIs, and developing complete software projects.
The course follows a project-based learning approach that enables learners to apply their programming skills to practical business, educational, and technical scenarios.
Key Learning Areas:
• Data Analysis with NumPy
• Data Manipulation using Pandas
• Data Visualization with Matplotlib
• GUI Application Development using Tkinter
• Database Programming
• Web Automation & Data Extraction
• API Integration & JSON Processing
• Introduction to Artificial Intelligence
• Introduction to Machine Learning
• Real-World Software Project Development
Course Features:
✔ 100% Practical Training
✔ Project-Based Learning
✔ Industry-Relevant Curriculum
✔ Real-Time Data Analysis Projects
✔ GUI Application Development
✔ Automation & Productivity Tools
✔ AI & Machine Learning Fundamentals
✔ Individual Computer Practice
✔ Certificate on Successful Completion
Suitable For:
• Python Level II Graduates
• PUC & Degree Students
• Computer Science Students
• Software Development Aspirants
• Data Analytics Enthusiasts
• Job Seekers
• IT Professionals
Career Opportunities:
• Python Developer
• Junior Software Developer
• Data Analyst
• Automation Developer
• Application Developer
• Database Programmer
• Technical Support Executive
• Software Testing Professional
Career Progression:
After completing Level III, learners can further specialize in:
• Data Science
• Machine Learning
• Artificial Intelligence
• Full Stack Python Development
• Data Analytics
• Business Intelligence
• Automation Engineering
Course Objective:
The objective of this course is to equip learners with advanced Python programming skills required for modern software development, data analysis, automation, and emerging technologies. Students will learn to design, develop, and deploy practical applications while building a strong foundation for advanced technical careers.
Upon successful completion, students will be able to analyze datasets, create professional visualizations, develop desktop applications, integrate APIs, automate tasks, and build real-world Python projects using industry-standard programming practices.
CERTIFICATE IN PYTHON PROGRAMMING – LEVEL III
Duration: 3 Months
MODULE 1: NUMPY FOR SCIENTIFIC COMPUTING
Unit 1: Introduction to NumPy
Unit 2: NumPy Arrays
Unit 3: Array Operations
Unit 4: Mathematical Functions
Unit 5: Statistical Functions
Practical:
• Array Manipulation
• Numerical Computations
MODULE 2: PANDAS FOR DATA ANALYSIS
Unit 1: Introduction to Pandas
Unit 2: Series and DataFrames
Unit 3: Data Import & Export
Unit 4: Data Cleaning
Unit 5: Data Filtering & Sorting
Unit 6: Data Aggregation
Practical:
• Excel Data Analysis
• Business Data Processing
MODULE 3: DATA VISUALIZATION
Unit 1: Introduction to Matplotlib
Unit 2: Line Charts
Unit 3: Bar Charts
Unit 4: Pie Charts
Unit 5: Histograms
Unit 6: Dashboard Reporting Basics
Practical:
• Sales Analysis Charts
• Business Reports
MODULE 4: GUI DEVELOPMENT WITH TKINTER
Unit 1: Introduction to GUI Programming
Unit 2: Labels & Buttons
Unit 3: Entry Widgets
Unit 4: Frames & Layouts
Unit 5: Event Handling
Practical:
• Calculator Application
• Student Information System GUI
MODULE 5: DATABASE PROGRAMMING
Unit 1: Advanced SQLite
Unit 2: Database Design
Unit 3: Multi-Table Operations
Unit 4: Database Integration
Practical:
• Inventory Database
• Employee Management System
MODULE 6: WEB SCRAPING & AUTOMATION
Unit 1: Introduction to Automation
Unit 2: Web Data Extraction
Unit 3: Working with Requests
Unit 4: Data Collection Techniques
Unit 5: Report Automation
Practical:
• Website Data Collection
• Automated Report Generation
MODULE 7: API INTEGRATION
Unit 1: Introduction to APIs
Unit 2: JSON Data
Unit 3: API Requests
Unit 4: Data Retrieval & Processing
Practical:
• Weather Application
• Currency Information Application
MODULE 8: INTRODUCTION TO MACHINE LEARNING
Unit 1: Artificial Intelligence Overview
Unit 2: Machine Learning Concepts
Unit 3: Types of Machine Learning
Unit 4: Data Preparation
Unit 5: Model Training Concepts
Practical:
• Simple Prediction Models
MODULE 9: PROJECT DEVELOPMENT
Project 1:
Data Analysis Project
Project 2:
GUI-Based Application
Project 3:
Database Management Application
Project 4:
Automation Project
Project 5:
Mini AI Project
Practical:
• Project Design
• Coding
• Testing
• Documentation
MODULE 10: CAPSTONE PROJECT & VIVA
Unit 1: Real-World Application Development
Unit 2: Project Presentation
Unit 3: Documentation
Unit 4: Viva Voce
Practical:
• Final Capstone Project
FINAL ASSESSMENT
Theory Examination
Practical Examination
Capstone Project
Viva Voce
MARKING SCHEME
Theory: 30 Marks
Practical: 50 Marks
Project & Viva: 20 Marks
Total: 100 Marks
COURSE OUTCOME
Upon successful completion, students will be able to:
• Analyze data using NumPy and Pandas
• Create professional charts and reports
• Build GUI applications
• Develop database-driven applications
• Automate repetitive tasks
• Integrate APIs into Python programs
• Understand Machine Learning fundamentals
• Develop real-world software projects
• Prepare for advanced careers in Software Development, Data Analytics, Automation, AI, and Machine Learning
SUGGESTED MARKS CARD SUBJECTS
PY-301 : Data Analysis with NumPy & Pandas
PY-302 : Data Visualization
PY-303 : GUI Application Development
PY-304 : Database Programming
PY-305 : Web Automation & API Integration
PY-306 : Introduction to Artificial Intelligence
PY-307 : Software Project Development
PY-308 : Capstone Project & Viva Voce
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