Mastering Python for Real-World Applications

Instructor
Sujata Dawn
4.5
26 reviews
  • Description
  • Curriculum
  • Reviews
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This 40+ hour interactive online course equips you with practical Python programming skills to build scalable, real-world applications across industries like finance, healthcare, e-commerce, and technology. Master core Python programming, backend development with Django and Flask, automation, data analytics using Pandas and NumPy, machine learning with TensorFlow, REST API development, and cloud integration with AWS and Azure. Perfect for aspiring Python developers, backend engineers, data scientists, and AI professionals looking to work on real-world industry projects.

Course Objectives

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Build Scalable Applications: Learn to develop industry-grade software solutions for finance, healthcare, e-commerce, telecommunications, and enterprise businesses.
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Data Analytics & Visualization: Master Python libraries including Pandas and NumPy to analyze, visualize, and interpret real-world business data.
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Automation with Python: Automate repetitive tasks, testing, scripting, and system administration for improved productivity.
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Backend Web Development: Build secure, scalable web applications using Django and Flask with industry-standard development practices.
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Machine Learning & AI: Learn TensorFlow and Scikit-learn to build predictive models and intelligent AI-driven applications.
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Cloud Integration: Deploy and integrate Python applications with AWS and Microsoft Azure cloud platforms.
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REST API Development: Design, develop, and consume RESTful APIs used by modern web, mobile, fintech, and enterprise applications.

Tools & Technologies Used

Python Tools & Technologies

Top Job Roles

Python Developer Backend Developer Machine Learning Engineer AI Engineer Data Scientist Automation Engineer IoT Developer DevOps Engineer

Top Recruiting Companies in India

Infosys TCS Wipro Cognizant IBM Google Accenture Capgemini Tech Mahindra Mindtree Maxgen Technologies
Module-1: Introduction to Python
Module-2: key-features, application, preference
Module-3: Operators in Python
Module-4: Control Flow
Module-5: Functions in Python
Module-6: Data Structures in Python
Module-7: String Handling
Module-8: Exception Handling
Module-9: File Handling
Module-10: Object-Oriented Programming (OOP) in Python
Module-11: Modules and Packages
Module-12: Working with Libraries
Module-13: Functional Programming
Module-14: Iterators and Generators
Module-15: Data Structures and Algorithms in Python
Module-16: Industry Expert Session