Course Description

This course, titled “Python Mastery: From Foundations to Frontiers,” is designed to take you on an extensive journey through the Python programming language, covering both foundational concepts and advanced topics. Whether you’re a complete beginner or looking to enhance your Python skills, this course offers a structured path to mastering Python. Through a blend of theoretical concepts and practical applications, you’ll learn to solve real-world problems with Python, ranging from simple scripts to complex applications.

Course Outline

Week 1-2: Python Basics

• Introduction to Python
• Setting up the development environment
• Variables, data types, and operators
• Control flow (if statements, loops)
• Basic data structures: Lists, Tuples, Sets, Dictionaries

Week 3-4: Intermediate Python

• Functions and modules
• File handling
• Exception handling
• Object-oriented programming concepts
• Working with libraries like datetime, os, and sys

Week 5-6: Advanced Python

• Advanced data structures (e.g., defaultdict, OrderedDict, namedtuple)
• Decorators and generators
• Regular expressions
• Working with databases (SQL and NoSQL)
• Introduction to web scraping with Beautiful Soup

Week 7-8: Data Science and Machine Learning Fundamentals

• Introduction to NumPy and Pandas
• Data visualization with Matplotlib and Seaborn
• Basics of machine learning with scikit-learn
• Introduction to TensorFlow and PyTorch

Week 9-10: Web Development with Python

• Introduction to Flask and Django
• Building REST APIs
• Front-end integration basics

Week 11-12: Capstone Projects and Real-World Applications

• Guided projects encompassing different domains
• Best practices in coding and version control with Git

Course Scope

• This course aims to equip students with the skills needed to pursue careers in software development, data analysis, machine learning, web development, and more.

Course Benefits

• Comprehensive understanding of Python
• Hands-on experience with real-world projects
• Certificate of completion

Technical Knowledge after Completion

• Proficiency in Python syntax and best practices
• Ability to develop and debug Python applications
• Understanding of object-oriented and functional programming
• Knowledge of data manipulation, analysis, and visualization
• Foundations in building web applications with Flask or Django
• Basics of machine learning and data science

Required Software

• Python (latest version)
• Integrated Development Environment (IDE) like PyCharm, Visual Studio Code, or Jupyter Notebook
• Git for version control

Course Duration

• 12 weeks (3 months)

Course Fee

• 3,150/- month, One-Time Full Fee Rs. 9, 400/- for the entire course.

Why Choose Us

• Experienced instructors with real-world programming expertise
• Interactive learning with live coding sessions and Q&A
• Personalized feedback on assignments and projects

Enrollment Eligibility

• Basic understanding of computer operations
• No prior programming experience required 

Free Available Resources

• org for official documentation
• GitHub for sample projects and code examples
• Coursera and edX for introductory Python courses
• Stack Overflow for community support and troubleshooting

Course-Related Books

• Python Crash Course by Eric Matthes
• Automate the Boring Stuff with Python by Al Sweigart
• Fluent Python by Luciano Ramalho
• Learning Python by Mark Lutz

FAQs

Q: Do I need any prior programming experience?

A: No, the course is designed to cater to both beginners and experienced programmers.

Q: What will I be able to do upon completing the course?

A: You’ll be proficient in Python, capable of building applications, analyzing data, and even starting with machine learning.

Q: Is there any certification provided?

A: Yes, a certificate of completion will be awarded to students who complete the course and its assessments