Introduction to Python Programming

Course Description

This introductory course covers the basics of Python programming, focusing on key features that make Python suitable for a wide range of software development tasks. Students will learn the syntax and functionalities of this versatile language with no prior programming experience required. This course serves as a gateway to more specialized boot camps in data analysis and machine learning offered in collaboration with the Tecnológico de Monterrey.

What Students Will Learn

• The basic concepts and applications of Python programming.
• How to write and execute Python scripts for task automation and data management.
• Web development basics and data scraping techniques.
• Capabilities in scientific and numeric computing, data analysis, visualization, and machine learning.
• Structured decision-making processes through advanced conditional logic.

Prerequisites or Skills Necessary

No previous programming knowledge is required to enroll in this course. This course is designed for beginners and will cover all the foundational aspects of Python programming.

Course Coverage

• Introduction to Python and its uses across various industries.
• Writing scripts for task automation.
• Foundations of web development and web scraping.
• Scientific and numerical computing methodologies.
• Data analysis and visualization techniques.
• Basic machine learning applications.

Who This Course Is For

This course is ideal for individuals who wish to learn programming with Python, specifically targeting students, professionals, and hobbyists who are considering a career transition into tech-related fields such as data analytics, data science, and web development.

Real-World Application

Skills acquired through this course can be applied in a myriad of ways in the real-world:

• Industry Application: Utilize Python skills in industries like finance, healthcare, marketing, energy, and IT.
• Job Roles: Prepare for roles such as data analysts, financial analysts, and data scientists.
• Project Development: Contribute to software development projects, from web applications to machine learning models.