Estructuras de datos de Python (Coursera)

Estructuras de datos de Python (Coursera)

Este curso presentará las estructuras de datos básicas del lenguaje de programación Python. Veremos los conceptos básicos de la programación de procedimientos y exploraremos cómo podemos usar las estructuras de datos integrados de Python, como listas, diccionarios y tuplas, para realizar análisis de datos cada vez más complejos. Este curso abarcará los capítulos 6 a 10 del libro de texto “Python para todos”. Este curso cubre Python 3.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

What You Will Learn

  • Explicar los principios de las estructuras de datos y cómo se utilizan
  • Crear programas que puedan leer y escribir datos desde archivos
  • Almacenar los datos como pares de clave/valor usando los diccionarios Python
  • Realizar tareas de varios pasos, como clasificar o hacer bucles con tuplas

Syllabus

WEEK 1
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.

WEEK 2
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.

WEEK 3
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.

WEEK 4
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”.

WEEK 5
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.

WEEK 6
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.

WEEK 7
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Python Project for Data Science (Coursera) Coursera
IBM

Python Project for Data Science (Coursera)

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python. This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate.

Jun 18th 2026
1 Week
Ordered Data Structures (Coursera) Coursera
University of Illinois at Urbana-Champaign

Ordered Data Structures (Coursera)

In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.

Jun 17th 2026
4 Weeks
An Introduction to Interactive Programming in Python (Part 1) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 1) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Jun 15th 2026
5-12 Weeks
Data Management and Visualisation (Coursera) Coursera
Wesleyan University

Data Management and Visualisation (Coursera)

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly.

Jun 15th 2026
4 Weeks
Machine Learning: Regression (Coursera) Coursera
University of Washington

Machine Learning: Regression (Coursera)

Case Study - Predicting Housing Prices. In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression.

Jun 15th 2026
5-12 Weeks
Algorithms on Graphs (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Graphs (Coursera)

If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks! If you're looking for the fastest time to get to work, cheapest way to connect set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.

Jun 15th 2026
5-12 Weeks
Using Machine Learning in Trading and Finance (Coursera) Coursera
New York Institute of Finance,Google Cloud

Using Machine Learning in Trading and Finance (Coursera)

This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading.

Jun 19th 2026
4 Weeks
Algorithms on Strings (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithms on Strings (Coursera)

World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome.

Jun 15th 2026
4 Weeks
Machine Learning Foundations: A Case Study Approach (Coursera) Coursera
University of Washington

Machine Learning Foundations: A Case Study Approach (Coursera)

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies.

Jun 15th 2026
5-12 Weeks
Object Oriented Programming in Java (Coursera) Coursera
University of California, San Diego

Object Oriented Programming in Java (Coursera)

Welcome to our course on Object Oriented Programming in Java using data visualization. People come to this course with many different goals -- and we are really excited to work with all of you! Some of you want to be professional software developers, others want to improve your programming skills to implement that cool personal project that you’ve been thinking about, while others of you might not yet know why you’re here and are trying to figure out what this course is all about.

Jun 15th 2026
5-12 Weeks
Programming for Everybody (Getting Started with Python) (Coursera) Coursera
University of Michigan

Programming for Everybody (Getting Started with Python) (Coursera)

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

Jun 15th 2026
5-12 Weeks
Advanced Data Structures in Java (Coursera) Coursera
University of California, San Diego

Advanced Data Structures in Java (Coursera)

How does Google Maps plan the best route for getting around town given current traffic conditions? How does an internet router forward packets of network traffic to minimize delay? How does an aid group allocate resources to its affiliated local partners? To solve such problems, we first represent the key pieces of data in a complex data structure. In this course, you’ll learn about data structures, like graphs, that are fundamental for working with structured real world data.

Jun 15th 2026
5-12 Weeks