Advanced Python Programming Tutorial Hindi

Learn Python from Basic to Advance from Scratch with Advance Libraries ie. Data Analysis, DBMS, Automation

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Advanced Python Programming Tutorial Hindi

What You Will Learn!

  • Complete Advance Python Programming Tutorial ( Data Analysis, Database Management, Advance Libraries )
  • Advanced Data Analysis Using Python
  • 20 + Real Life Python Exercise
  • 2 Advance Python Project ie. Database Integration & AI Model

Description

Power of Python programming from the ground up with this comprehensive Udemy course. Whether you're a beginner or have some programming experience, this course will guide you through the essentials and take you to advanced levels, covering practical applications with cutting-edge libraries.

Key Highlights:

  • Foundations of Python: Start with the basics, understanding variables, data types, control flow, and functions.

  • Object-Oriented Programming (OOP): Delve into OOP principles, learning about classes, objects, inheritance, encapsulation, polymorphism, and abstraction.

  • Advanced Libraries: Explore Python's advanced libraries, including but not limited to:

    • Data Analysis: Utilize pandas and NumPy for powerful data manipulation and analysis.

    • Database Management (DBMS): Learn to interact with databases using SQLite and SQLAlchemy.

    • Automation: Master automation with libraries

  • Real-world Projects: Apply your knowledge through hands-on projects, solidifying your skills and building a portfolio.

  • Career Ready: Gain the skills sought by employers in data analysis, automation, and database management, making you job-ready.

Whether you aspire to become a data analyst, automate repetitive tasks, or work with databases, this course equips you with the Python skills needed to succeed. Enroll now and embark on a journey from Python basics to advanced applications.

Note: Prerequisite - Basic understanding of programming concepts is beneficial but not mandatory.

include the latest Python features and best practices.

Who Should Attend!

  • College Student who wanted to start career as Data Scientist, Web Developer, Software Developer, etc
  • Anyone who wanted to Start as Developer looking for New Programming Language
  • Beginner Developer Curious About Data Science

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Lectures

79

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