Mastering Python Course Overview

Mastering Python Course Overview

The Mastering Python course is an extensive program designed to equip learners with a comprehensive understanding of Python programming. It's perfect for those looking to master Python programming and covers a multitude of topics ranging from basic Python syntax to advanced concepts like data science and web development with Django. Starting with Module 1, learners get familiarized with Python's installation and basic operations, and as they progress through the course, they delve into more complex subjects like flow control, data structures, file operations, and object-oriented programming.

Modules on database access, network programming, and multiprogramming provide a solid foundation for backend development. Towards the end, the course addresses contemporary needs with modules on data science, AI, machine learning using Python, and data analysis with libraries like NumPy and Pandas. By completing this python master course, learners will not only gain theoretical knowledge but also practical skills to build robust applications and analyze data effectively.

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  • Live Online Training (Duration : 88 Hours)
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  • Live Online Training (Duration : 88 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

  • Can't Attend Live Online Classes? Choose Flexi - a self paced learning option
  • 6 Months Access to Videos
  • Access via Laptop, Tab, Mobile, and Smart TV
  • Certificate of Completion
  • Official Coursebook
  • Hands-on labs
  • 160+ Tests Questions (Qubits)




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Course Prerequisites

To ensure you have a comfortable and successful learning experience in our Mastering Python course, we recommend that you meet the following minimum prerequisites:

  • Basic understanding of computer operations, such as file management and software installation.
  • Familiarity with any programming or scripting language, which will help grasp Python syntax and concepts more readily.
  • Ability to navigate your chosen operating system (Windows, Linux, or Mac OS) for tasks like installing software and editing system environment variables.
  • A grasp of fundamental programming concepts like variables, loops, and conditional statements, which will be built upon throughout the course.
  • An understanding of basic mathematics, which can be helpful when learning to program.
  • Willingness to engage with the course material and perform hands-on exercises to reinforce learning.

These prerequisites are meant to provide a foundation upon which the course will build. The course is designed to accommodate learners with varying levels of prior experience, and our instructors are adept at helping students bridge gaps in their understanding.

Target Audience for Mastering Python

Mastering Python is a comprehensive course designed to equip learners with in-depth programming, data analysis, and web development skills using Python.

  • Beginners in programming looking to start with Python
  • Software developers seeking to enhance their skillset with Python
  • Data analysts and scientists who want to utilize Python for data manipulation and analysis
  • IT professionals interested in automating tasks or developing applications
  • Web developers aiming to learn Django for web application development
  • AI and machine learning enthusiasts seeking to apply Python in their projects
  • System administrators looking to script with Python for system automation
  • Students and academicians in computer science and related fields
  • Technical project managers who wish to understand Python for better project oversight
  • Non-technical professionals interested in learning to code for career transition
  • Hobbyists wanting to develop Python-based projects or applications

Learning Objectives - What you will Learn in this Mastering Python?

Introduction to Mastering Python Course Learning Outcomes:

Gain in-depth knowledge of Python programming, from basics to advanced concepts, including web frameworks, data analysis, and machine learning, to build robust applications and analyze data effectively.

Learning Objectives and Outcomes:

  • Understand Python's syntax, installation on various operating systems, and usage of the IDLE environment for interactive and scripting modes.
  • Learn to manipulate data using variables, perform input/output operations, and apply string and number operations for effective data handling.
  • Gain proficiency in control flow with if-else statements, loops, and logical operators, and plan programs using pseudocode.
  • Master the use of complex data structures like lists, tuples, and dictionaries, including their methods and special features.
  • Develop functions with parameters, return values, and understand variable scope, including global and local variables.
  • Create, import, and utilize modules to organize code, enhance functionality, and leverage Python's extensive library ecosystem.
  • Manage file systems, execute OS services, and perform file input/output operations, including exception handling for robust programs.
  • Learn object-oriented programming in Python, including class creation, inheritance, encapsulation, and polymorphism.
  • Access and manipulate databases using Python's DB API, execute SQL commands, and understand transaction control.
  • Delve into advanced topics like network programming, multithreading, multiprocessing, and graphical application development with Tkinter.

These objectives and outcomes are tailored to equip students with the necessary skills to tackle real-world programming tasks, data analysis, and application development using Python.