Estructuras de datos de Python from Coursera

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Syllabus

Capítulo seis: Cadenas

En esta clase, continuamos donde lo dejamos en la clase anterior, comenzando en el capítulo 6 del libro de texto y cubriendo las cadenas y pasando a las estructuras de datos. La segunda semana de esta clase se reserva al hecho de instalar Python si realmente desea ejecutar las aplicaciones en su computadora de escritorio o portátil. Si decide no instalar Python, simplemente puede pasar a la tercera semana y adelantarse.

Unidad: Instalación y uso de Python

En este módulo, podrá realizar la configuración para escribir programas en Python. No requerimos que se instale Python para esta clase. Puede escribir y probar programas de Python en el navegador usando el "Sitio de prueba de código Python" en esta lección. Lea el material “Uso de Python en esta clase” para obtener más detalles.

Capítulo siete: Archivos

Hasta ahora, hemos estado trabajando con datos que se leen desde el usuario o con datos en constantes. Pero los programas reales procesan cantidades mucho mayores de datos al leer y escribir archivos en el almacenamiento secundario de su computadora. En este capítulo comenzaremos a escribir nuestros primeros programas que leen, escanean y procesan datos reales.

Capítulo ocho: Listas

Dado que queremos resolver problemas más complejos en Python, necesitamos variables más poderosas. Hasta ahora hemos estado usando variables simples para almacenar números o cadenas en las que tenemos un solo valor en una variable. Comenzando con las listas, almacenaremos muchos valores en una sola variable utilizando un esquema de indexación para almacenar, organizar y recuperar diferentes valores de una sola variable. A estas variables de varios valores las llamamos “recopilaciones” o “estructuras de datos”.

Capítulo nueve: Diccionarios

El diccionario Python es una de sus estructuras de datos más poderosas. En lugar de representar valores en una lista lineal, los diccionarios almacenan datos como pares clave/valor. El uso de pares clave/valor nos da una simple “base de datos” en memoria en una sola variable de Python.

Capítulo diez: Tuplas

Las tuplas son nuestra tercera y última estructura básica de datos de Python. Las tuplas son una versión simple de las listas. A menudo, usamos tuplas junto con diccionarios para realizar tareas de varios pasos, como clasificar o enlazar todos los datos en un diccionario.

Graduación

Para celebrar su llegada al punto medio en nuestra especialización Python para todos, le damos la bienvenida para que asista a nuestra ceremonia de graduación en línea. No es muy extensa y presenta un orador de graduación y un discurso de graduación muy breve.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Enseña los conceptos básicos de programación de procedimientos que son relevantes para los estudiantes de informática

Explora estructuras de datos básicas que son omnipresentes en la programación de computadoras

Este curso ofrece un enfoque práctico para analizar datos utilizando las estructuras de datos de Python

Está diseñado para estudiantes que ya tienen experiencia básica en programación

Este curso utiliza Python 3, que es una versión anterior de Python

Reviews summary

Excelente curso de estructuras de datos en python

Este curso sobre las estructuras de datos en Python ha recibido críticas muy positivas en general. Los estudiantes lo han calificado con un promedio de 5 estrellas y lo han elogiado por su claridad, concisión y relevancia para el análisis de datos.

Útil para el análisis de datos

"..."

Fácil de comprender

"excelente"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Estructuras de datos de Python with these activities:

Read 'Python Crash Course, 2nd Edition'

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Expand your knowledge of Python data structures and their applications by reading a comprehensive book that covers the topic in depth.

View Curso Intensivo de Python on Amazon

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Acquire a copy of 'Python Crash Course, 2nd Edition'.
Read the chapters on data structures, taking notes and highlighting key concepts.
Complete the exercises and projects in the book to apply your understanding.

Review Python syntax and data structures

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Refreshing Python basics will strengthen your foundation and make learning new concepts easier.

Browse courses on Python

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Refer to your course materials or online resources
Review the basics of Python syntax, such as variables, data types, and operators
Revisit common data structures like lists, tuples, and dictionaries

Explore Python tutorials

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Guided tutorials provide structured learning and can reinforce concepts covered in class.

Browse courses on Python

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Search for Python tutorials on platforms like YouTube, Udemy, and Coursera
Choose a tutorial that aligns with your learning objectives
Follow the tutorial step-by-step and practice coding examples

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Resolve Python challenges

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Solving Python challenges will enhance your understanding of Python syntax and expose you to a variety of coding problems.

Browse courses on Python

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Identify a Python challenge platform
Register and start solving challenges
Review your solutions and learn from mistakes

Join a Python study group

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Engaging with peers allows for knowledge sharing, problem-solving, and staying motivated.

Browse courses on Python

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Find a study group or create one with classmates
Establish regular meeting times
Discuss Python concepts, work on projects, and provide feedback

Career center

Learners who complete Estructuras de datos de Python will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design and build machine learning models. They use their models to solve business problems, such as predicting customer churn or identifying fraud. This course can help you develop the skills needed to succeed as a Machine Learning Engineer. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

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Data Analyst

Data Analysts analyze data to extract meaningful insights and trends. They use their findings to help businesses make informed decisions. This course can help you develop the skills needed to succeed as a Data Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

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Data Engineer

Data Engineers build and maintain the infrastructure that supports data-driven organizations. This course can help you develop the skills needed to succeed as a Data Engineer. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

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Data Scientist

Data Scientists use their knowledge of statistics, mathematics, and computer science to solve business problems. This course can help you develop the skills needed to succeed as a Data Scientist. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings. You will also gain experience working with real-world data sets.

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Financial Analyst

Financial Analysts use data to make investment decisions. This course can help you develop the skills needed to succeed as a Financial Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Marketing Analyst

Marketing Analysts use data to help businesses improve their marketing campaigns. This course can help you develop the skills needed to succeed as a Marketing Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Product Manager

Product Managers oversee the development and launch of new products. This course can help you develop the skills needed to succeed as a Product Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Operations Manager

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Risk Manager

Risk Managers identify and mitigate risks. This course can help you develop the skills needed to succeed as a Risk Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Project Manager

Project Managers lead and manage projects. This course can help you develop the skills needed to succeed as a Project Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Business Analyst

Business Analysts use data to help businesses improve their operations. This course can help you develop the skills needed to succeed as a Business Analyst. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course can help you develop the skills needed to succeed as a Software Engineer. You will learn how to use Python to write clean and efficient code. You will also gain experience working with real-world software projects.

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Database Administrator

Database Administrators design, implement, and maintain databases. This course can help you develop the skills needed to succeed as a Database Administrator. You will learn how to use Python to interact with databases, and how to optimize database performance.

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Compliance Manager

Compliance Managers ensure that a business complies with all applicable laws and regulations. This course can help you develop the skills needed to succeed as a Compliance Manager. You will learn how to use Python to clean and analyze data, and how to create visualizations to communicate your findings.

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