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Online Course Ages 17–40 Online 48 hr Certificate

Advanced Python for Data Science and Machine Learning

This advanced Python course covers advanced topics of Python required to learn Data Science and Machine Learning. In this course, learners will learn about decorators, metaclasses,

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This advanced Python course covers advanced topics of Python required to learn Data Science and Machine Learning. In this course, learners will learn about decorators, metaclasses, and other advanced programming techniques. You'll also explore concurrency, object-oriented programming concepts, functional programming, and design patterns. The course also includes testing strategies, database interaction, web development, and best practices for writing clean and efficient Python code. 

What you'll learn
  • Decorators and Metaprogramming
  • Metaclasses
  • Concurrency and Parallelism
  • Threading and multiprocessing.
  • Asynchronous programming with async/await.in python​
  • Global Interpreter Lock
  • Advanced OOP Concepts
  • Multiple inheritance
  • Method resolution order (MRO)
  • Abstract base classes (ABCs)
  • Mixins and composition
  • Higher-order functions
  • Lambda functions and closures
  • Map, filter, and reduce
  • Database Interaction(Object-Relational Mapping (ORM) with libraries like SQLAlchemy, MongoDB)
What you get
  • Decorators and Metaprogramming
  • Advanced OOPS concept
  • Design patterns
  • Threading and Multithreading
  • Data Structure and Algorithm
  • Calculating Prime Numbers​(Application of GIL)
  • Application of Multithreading
  • Web development
Prerequisites
  • Concept of Advanced Python course
  • Good knowledge of Object Oriented programming system
  • Multiple inheritance
Skills you'll build
Additional projectsAdvanced programming techniquesConceptual skill Testing Strategies
Curriculum

10 modules. 48 hours.

01 Decorators and Metaprogramming 2 sections
  • Decorators and Metaprogramming:
  • Metaclasses
02 Concurrency and Parallelism 6 sections
  • Threading and multiprocessing.
  • Calculate the square and Cube of a number​
  • Asynchronous programming with async/await.in python​
  • Global Interpreter Lock
  • Calculate Prime numbers
  • Quiz 1
03 Advanced OOP Concepts 4 sections
  • Multiple inheritance
  • Method resolution order (MRO)
  • Abstract base classes (ABCs)
  • Mixins and composition
04 Functional Programming 4 sections
  • Higher-order functions
  • Lambda functions and closures
  • map, filter, and reduce
  • Quiz 2
05 Design Patterns 1 section
  • Design Patterns
06 Testing and Test-Driven Development (TDD) 4 sections
  • Testing and Test-Driven Development
  • Test fixtures and test discovery
  • TDD principles and practices
  • Quiz 3
07 Data Structure and Algorithm 2 sections
  • Data Structures and Algorithms​
  • Algorithms​
08 Databse interaction with python 3 sections
  • Database Interaction
  • Object-Relational Mapping (ORM)
  • Quiz 4
09 Web Development 2 sections
  • Web Development​
  • WebSockets and real-time applications
10 Data Science and Machine Learning with Python 3 sections
  • Advanced NumPy and Pandas usage
  • Machine learning libraries
  • Final Quiz
Who teaches

Engineers who build, not lecturers who read slides.

KM
Kavita Mali
Robotics Engineer · 6 yrs
Specialises in embedded C, ROS, and capstone mentorship.
KV
Kiran Verma
Robotics Engineer · 4 yrs
Lead instructor for AI & Python tracks.
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