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30,000.00 Duration: 40 Hours
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About your Python Programming Certification Training

Skills Covered

Python programming fundamentals
Data types and control flow
Functions and modules
File handling and exception handling
Object-Oriented Programming (OOP)
Working with libraries (NumPy, Pandas, Matplotlib)
Web scraping and automation
Data analysis and visualization

Tools Covered

Python
Jupyter Notebook
Integrated Development Environments (IDEs) like PyCharm, VS Code
Libraries: NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, Scrapy, Selenium

Python Programming Certification Training Syllabus

Curriculum Designed by Experts

Introduction to Python
Topics
  • Overview of Python
  • Setting up the development environment
  • Writing and running your first Python program
Topics
  • Data types and variables
  • Operators and expressions
  • Input and output functions
Topics
  • Conditional statements (if, if-else, elif)
  • Looping constructs (for, while)
  • Nested control structures
Topics
  • Defining and calling functions
  • Function parameters and return values
  • Scope and lifetime of variables
  • Lambda functions
Topics
  • Lists, Tuples, and Sets
  • Dictionaries
  • Comprehensions (list, dict, set)
Topics
  • Importing modules and packages
  • Standard library modules
  • Creating your own modules and packages
Topics
  • Reading from and writing to files
  • Working with different file types (text, CSV, JSON)
  • File methods and operations
Topics
  • Introduction to exceptions
  • Try, except, and finally blocks
  • Handling multiple exceptions
  • Custom exceptions
Topics
  • Classes and objects
  • Inheritance and polymorphism
  • Encapsulation and abstraction
  • Magic methods and operator overloading
Topics
  • Overview of popular libraries (NumPy, Pandas, Matplotlib)
  • Installing and using libraries
  • Practical examples and use cases
Topics
  • Introduction to web scraping
  • Using libraries like BeautifulSoup and Scrapy
  • Automating tasks with Python
  • Introduction to Selenium for browser automation
Topics
  • Introduction to data analysis with Pandas
  • Data manipulation and cleaning
  • Data visualization with Matplotlib and Seaborn
  • Practical examples and projects

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Why Python Programming Certification Training From Xpertised Learning

Live Interactive Classes

  • Top-Tier Trainers
  • Real Time Guidance by Industrial Experts
  • In Class Doubt Clearance

Resource Access

  • Life Time Access to Resource Library

Support

  • One-to-One Lab and Training Assistance
  • Help Desk Support
  • Doubt Clearance in Real-time

Project Based Learning

  • Labs and Learning Based from Industrial Experts
  • Learning Based on Project Scenarios

Certification

  • Xpertised Learning Training Certificate
  • Certificate of Completion

Labs

  • Cloud based Labs *Labs based on course requirement only

Python Programming Certification Training Details

This course aims to equip learners with the ability to write efficient Python programs for various applications. It combines theoretical knowledge with hands-on exercises and real-world projects to ensure that learners can apply their skills in professional settings.

  • Develop expertise in Python, a versatile and widely-used programming language, enhancing your ability to build a variety of applications.
  • Boost your career prospects by mastering Python, making you a sought-after candidate for roles in software development, data analysis, and automation.
  • Stay relevant in the tech industry by acquiring advanced Python skills, ensuring your ability to contribute to diverse programming projects.
  • Hands-on experience with Python programming and libraries.
  • Practical knowledge applicable to real-world scenarios.
  • Enhanced career opportunities in software development, data analysis, and automation.
  • Certification that validates your Python programming skills and knowledge.
  • Python programming fundamentals
  • Data types and control flow
  • Functions and modules
  • File handling and exception handling
  • Object-Oriented Programming (OOP)
  • Working with libraries (NumPy, Pandas, Matplotlib)
  • Web scraping and automation
  • Data analysis and visualization
  • Python
  • Jupyter Notebook
  • Integrated Development Environments (IDEs) like PyCharm, VS Code
  • Libraries: NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, Scrapy, Selenium
  • Understand the core concepts of Python programming.
  • Write efficient and effective Python programs.
  • Utilize Python libraries for data analysis, visualization, and automation.
  • Develop web scraping and automation scripts.
  • Apply Python programming skills in real-world projects.
  • Aspiring Python Developers
  • Data Analysts and Scientists
  • Web Developers
  • Automation Engineers
  • IT Professionals
  • Anyone interested in learning Python programming
  • Basic knowledge of programming concepts is beneficial but not mandatory
  • Core concepts of Python programming
  • Writing and debugging Python programs
  • Utilizing Python libraries for various tasks
  • Developing web scraping and automation scripts
  • Analyzing and visualizing data with Python
  • A computer with at least 4GB RAM and 20GB free disk space
  • Stable internet connection
  • Python installed (Python 3.x version)
  • Integrated Development Environment (IDE) like PyCharm, VS Code, or Jupyter Notebook
  • Enhanced job prospects in programming, data analysis, and automation
  • Opportunities to work with top companies leveraging Python for their software development and automation needs
  • Potential for career growth and higher salaries in roles such as Python Developer, Data Analyst, Web Developer, and Automation Engineer

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