Google Colab para Ciencia de Datos e IA utilizando Python

Resumen

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization.

In this specialization, you’ll dive deep into Python programming and Google Colab, gaining a comprehensive understanding of Python and the tools needed for Data Science and AI. Through real-world examples and hands-on exercises, you’ll learn how to write robust Python code and solve complex problems in Data Science and AI.

The specialization starts with an introduction to Python and Google Colab, covering essential concepts like procedural, object-oriented, and functional programming, as well as dependency management. You'll then explore advanced topics such as control flow, functions, and critical Python libraries like NumPy, Pandas, Matplotlib, and Seaborn within the Google Colab environment.

With numerous hands-on exercises, you'll gain practical experience, applying what you learn to real-life projects involving data manipulation, analysis, and visualization. Ideal for beginners, the course also offers opportunities for intermediate learners to enhance their coding skills.

By the end, you'll be able to write efficient Python programs, manage projects in Google Colab, and leverage libraries for complex data analysis and visualization.

Programa

• Curso 1: Introducción a Python y Fundamentos de Google Colab
• Curso 2: Programación en Python y Bibliotecas para Ciencia de Datos
• Curso 3: Técnicas Avanzadas de Python para Ciencia de Datos e IA

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Impartido por

Packt - Course Instructors

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Materias

Data Science