Description

Course Description:

The Python Programming and Automation is designed to equip learners with in-depth knowledge of Python, one of the most versatile and widely used programming languages in the world. This comprehensive course covers the fundamentals of Python programming, including data types, control structures, functions, and object-oriented programming, while also diving into advanced topics such as file handling, exception management, and module creation. In addition, the course emphasizes automation techniques, enabling students to streamline repetitive tasks, manipulate data efficiently, and integrate Python with various applications and tools. Through hands-on projects and real-world examples, participants will gain practical experience in scripting, automating workflows, and solving complex problems, making them industry-ready for roles in software development, data analysis, and IT automation. Upon successful completion, learners receive a certification validating their expertise in Python programming and automation.

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 Python Programming and Automation Certified Course:

• Python Developer
• Automation Engineer
• Data Analyst
• Data Engineer
• Machine Learning Engineer (Entry-Level)
• Software Tester / QA Automation
• Web Developer (Python-Based)
• DevOps Engineer (Python Scripting)
• Business Intelligence (BI) Analyst
• Freelance Python Programmer

Essential Skills you will Develop Python Programming and Automation Certified Course:

• Core Python Programming
• Object-Oriented Programming (OOP)
• Data Manipulation
• File Handling
• Error and Exception Handling
• Python Libraries
• Automation Scripting
• Web Scraping
• API Integration
• Basic Database Handling
• Task Scheduling
• Workflow Automation
• Debugging
• Problem-Solving Skills
• Version Control Basics
• Data Visualization
• Introduction to Machine Learning

Tools Covered:

• Python IDEs & Editors
• Libraries for Data Manipulation
• Data Visualization
• Web Scraping
• Automation
• Database
• SQLite, MySQL
• Connector
• Task Automation
• Version Control
• Collaboration
• API Testing
• Postman
• Excel Automation
•  OpenPyXL, xlrd/xlwt
• Virtual Environment

Syllabus:

Module 1: Introduction to Python Overview of Python and its applications Setting up Python environment (Anaconda, IDEs) Writing first Python program Python syntax, keywords, and indentation.

Module 2: Data Types and Operators Variables and data types (int, float, string, boolean) Operators (arithmetic, logical, comparison, bitwise) Type conversion and typecasting.

Module 3: Control Structures Conditional statements (if, elif, else) Loops (for, while) Loop control statements (break, continue, pass).

Module 4: Functions and Modules Defining and calling functions Function arguments and return values Python modules and packages Using standard libraries.

Module 5: Object-Oriented Programming (OOP) Classes and objects Attributes and methods Inheritance, polymorphism, encapsulation Constructors and destructors.

Module 6: Data Handling Lists, tuples, sets, dictionaries List comprehension and dictionary comprehension File handling (read, write, append) Exception handling and debugging.

Module 7: Python Libraries for Data & Automation NumPy for numerical computing Pandas for data manipulation Matplotlib & Seaborn for data visualization Automation libraries: OS, Shutil, Scheduler.

Module 8: Web Scraping & API Integration Web scraping with BeautifulSoup and Requests Browser automation with Selenium Consuming APIs and automating data extraction.

Module 9: Database and Excel Automation Connecting Python with SQLite and MySQL CRUD operations in databases Automating Excel operations using OpenPyXL and xlrd/xlwt.

Module 10: Projects & Advanced Applications Real-time automation projects Data analysis and visualization projects Introduction to machine learning using Python Best practices, code optimization, and version control.

Industry Projects:

• Automated Data Entry System
• Web Scraping Project
• Excel Automation
• Email Automation System
• File Management Automation
• Data Visualization Dashboard
• API Data Automation
• Log File Analyzer
• Automated Report Generation
• Simple Chatbot

Who is this program for?

• Aspiring Python Developers
• IT Professionals
• Data Analysts & Data Enthusiasts
• Software Testers / QA Engineers
• Business Analysts
• Students & Fresh Graduates
• Project Managers
• Entrepreneurs & Freelancers
• Machine Learning Beginners
• Anyone Interested in Automation

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com