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Introduction to Python

Price
1,795 USD
3 Days
UT-300200705
Online Training
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  • Guaranteed to Run
    Date: 19-May-2025 to 21-May-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: united
    Price: 1,795 USD
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    Date: 9-Jun-2025 to 11-Jun-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
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    Price: 1,795 USD
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    Date: 7-Jul-2025 to 9-Jul-2025
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    Language: English
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    Price: 1,795 USD
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    Date: 4-Aug-2025 to 6-Aug-2025
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    Price: 1,795 USD
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    Date: 10-Sep-2025 to 12-Sep-2025
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    Date: 27-Oct-2025 to 29-Oct-2025
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    Date: 17-Nov-2025 to 19-Nov-2025
    Time: 9AM - 5PM US Eastern
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    Price: 1,795 USD
  • Guaranteed to Run
    Date: 1-Dec-2025 to 3-Dec-2025
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  • Guaranteed to Run
    Date: 15-Dec-2025 to 17-Dec-2025
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: united
    Price: 1,795 USD
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Course Description

Overview

The Introduction to Python course is designed for beginners with no prior programming experience. Participants will learn the fundamentals of Python, including syntax, data types, and control structures, while gaining hands-on experience with Jupyter Notebook and .py files. The course also introduces GUI creation within Jupyter Notebook. By the end, students will have the skills to write Python programs and develop simple applications.
Python is widely used across industries for automation, web development, data science, and machine learning. This live, instructor-led course provides a structured, practical approach to learning Python, making it accessible for both new programmers and those transitioning from other languages.
Note: Available in three full-day or five partial-day sessions. Check the schedule for options.
 

Objectives

Participants will develop a strong foundation in Python by learning core concepts such as syntax, data types, control flow, and key data structures. They will apply Python to real-world use cases, including automation, web scraping, GUI development, and game design, allowing them to build a portfolio of practical projects.  The course also covers advanced Python features such as object-oriented programming (OOP), decorators, generators, and modules, enabling students to write more efficient and scalable code. Additionally, they will gain hands-on experience with industry-standard tools, including Jupyter Notebooks, Python libraries, and integrated development environments (IDEs), to write, debug, and deploy Python applications professionally.
 

Audience

This course is ideal for both new programmers and experienced developers seeking to add Python to their skillset.
 

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