Core Python Certified Course

Course Description:

The Our Core Python Certified Course is designed to provide a strong foundation in Python programming, suitable for beginners as well as professionals aiming to enhance their coding skills. The course covers all essential concepts including data types, variables, loops, conditionals, functions, modules, file handling, and error handling. Participants will also learn object-oriented programming (OOP) concepts, Python libraries, and real-world applications of Python in automation, data analysis, and web development. The program emphasizes hands-on projects and practical exercises, ensuring learners gain the confidence to write efficient Python code. Upon completion, students will receive a Core Python Certification, which will help boost their career in software development, data science, and automation domains.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

 Career Opportunities After   Career Opportunities After:

• Python Developer
• Backend Developer
• Full Stack Developer
• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Artificial Intelligence (AI) Engineer
• Automation Engineer
• Software Engineer
• Web Developer
• DevOps Engineer
• Cloud Engineer
• Game Developer (Python-based games)
• Business Intelligence (BI) Developer
• IoT (Internet of Things) Developer
• Python Trainer / Instructor
• Research Analyst (Data-focused)
• Database Programmer
• Test Automation Engineer
• NLP (Natural Language Processing) Engineer

Essential Skills you will Develop  Career Opportunities After:

• Python syntax and semantics
• Data types and variables
• Conditional statements (if-else)
• Loops (for, while)
• Functions and modules
• Object-Oriented Programming (OOP) concepts
• Exception handling and debugging
• File handling (read/write files)
• Working with Python libraries (like NumPy, Pandas)
• Data manipulation and analysis
• Automation of repetitive tasks
• Web scraping with Python
• API integration
• Working with databases (SQL, SQLite)
• Writing clean and efficient code
• Algorithm design and problem-solving
• Data visualization (Matplotlib, Seaborn)
• Basic web development using Flask/Django
• Unit testing and code validation
• Version control using Git

Tools Covered:

• Python IDLE
• Jupyter Notebook
• PyCharm
• Anaconda
• VS Code
• Spyder
• Google Colab
• Git & GitHub
• NumPy
• Pandas
• Matplotlib
• Seaborn
• Flask
• Django
• SQLite / MySQL
• Requests (API handling)
• BeautifulSoup (Web Scraping)
• Tkinter (GUI Development)
• pytest (Testing)
• pip (Package Management Tool)

Syllabus:

Module 1: Introduction to Python Programming Overview of Python and its features Installation & environment setup Writing and executing Python programs Python syntax, keywords, and identifiers.

Module 2: Data Types, Variables, and Operators Numbers, strings, lists, tuples, sets, and dictionaries Type casting and input/output operations Arithmetic, relational, logical, and bitwise operators.

Module 3: Conditional Statements and Loops if, elif, else statements for and while loops Nested loops and loop control statements.

Module 4: Functions and Modules Defining and calling functions Function arguments and return values Lambda functions Importing and creating modules.

Module 5: Strings, Lists, Tuples, and Dictionaries String manipulation and formatting List operations and comprehensions Working with tuples, sets, and dictionaries.

Module 6: File Handling and Exception Handling Reading and writing files Working with CSV and text files Exception handling (try, except, finally, raise).

Module 7: Object-Oriented Programming (OOP) in Python Classes and objects Inheritance, polymorphism, encapsulation Constructors and destructors.

Module 8: Python Libraries for Data Handling Introduction to NumPy and Pandas Data cleaning and manipulation Basic data analysis operations.

Module 9: Working with APIs and Web Scraping Understanding APIs and JSON data Web scraping using BeautifulSoup and Requests Basic automation scripts.

Module 10: Mini Project and Assessment End-to-end Python project Real-world problem-solving using Python Certification assessment and interview preparation.

 Industry Projects:

• Student Management System 
• Expense Tracker Application 
• Weather Forecast App 
• Library Management System 
• Online Quiz Application 
• Email Automation Script 
• Data Cleaning Project using Pandas 
• Stock Market Data Analysis
• Web Scraping Project
• Bank Management System 
• Chatbot using Python 
• COVID-19 Data Dashboard 
• File Organizer Tool 
• Real-Time Currency Converter 
• Password Generator Tool 
• Employee Payroll Management System 
• Online Voting System
• E-commerce Product Recommendation System 
• IoT Sensor Data Logger 
• Movie Data Analysis  

Who is this program for?

• Beginners 
• Engineering students
• IT professionals 
• Data science aspirants 
• Web developers 
• Automation testers
• Machine Learning enthusiasts 
• Software developers
• Researchers and academicians 
• Non-programmers
• Students preparing for campus placements
• Professionals from non-IT backgrounds 
• Freelancers 
• Data analysts 
• Startup founders 
• Educators and trainers 
• Cybersecurity learners 
• Bioinformatics or healthcare researchers
• Mechanical and civil engineers 
• Anyone passionate about coding

How To Apply:

Mobile: 9100348679                   

Email: coursedivine@gmail.com