This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
Este curso forma parte de Programa especializado: Python para todos
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Programa especializado: Python para todosUniversidad de MíchiganAcerca de este Curso
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Resultados profesionales del estudiante
19%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
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Certificado para compartir
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100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 5 en
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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Prueba Coursera para negociosQué aprenderás
Explain the principles of data structures & how they are used
Create programs that are able to read and write data from files
Store data as key/value pairs using Python dictionaries
Accomplish multi-step tasks like sorting or looping using tuples
Habilidades que obtendrás
- Python Syntax And Semantics
- Data Structure
- Tuple
- Python Programming
Resultados profesionales del estudiante
19%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 5 en
Aprox. 19 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Universidad de Míchigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Comienza a trabajar para obtener tu maestría
Este curso es parte del Master of Applied Data Science completamente en línea de Universidad de Míchigan.
Si te aceptan en el programa completo, tus cursos cuentan para tu título de grado.
Programa - Qué aprenderás en este curso
4 horas para completar
Chapter Six: Strings
In this class, we pick up where we left off in the previous class, starting in Chapter 6 of the textbook and covering Strings and moving into data structures. The second week of this class is dedicated to getting Python installed if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start.
4 horas para completar
7 videos (Total 57 minutos), 8 lecturas, 2 cuestionarios
3 horas para completar
Unit: Installing and Using Python
In this module you will set things up so you can write Python programs. We do not require installation of Python for this class. You can write and test Python programs in the browser using the "Python Code Playground" in this lesson. Please read the "Using Python in this Class" material for details.
3 horas para completar
5 videos (Total 23 minutos), 2 lecturas, 2 cuestionarios
3 horas para completar
Chapter Seven: Files
Up to now, we have been working with data that is read from the user or data in constants. But real programs process much larger amounts of data by reading and writing files on the secondary storage on your computer. In this chapter we start to write our first programs that read, scan, and process real data.
3 horas para completar
5 videos (Total 46 minutos), 1 lectura, 3 cuestionarios
3 horas para completar
Chapter Eight: Lists
As we want to solve more complex problems in Python, we need more powerful variables. Up to now we have been using simple variables to store numbers or strings where we have a single value in a variable. Starting with lists we will store many values in a single variable using an indexing scheme to store, organize, and retrieve different values from within a single variable. We call these multi-valued variables "collections" or "data structures".
3 horas para completar
7 videos (Total 48 minutos)
Reseñas
- 5 stars87,55 %
- 4 stars11,30 %
- 3 stars0,90 %
- 2 stars0,12 %
- 1 star0,10 %
Aspectos destacados
"Excellent instructor" en 503 reseñas
"Helpful assignments" en 254 reseñas
Principales reseñas sobre ESTRUCTURAS DE DATOS DE PYTHON
por AG9 de jul. de 2021
I feel incredible that I knew almost nothing about programming just a month ago. Now I have done two of the courses of the specialization and I can actually understand other basic codes. Great course!
por SV7 de dic. de 2020
Excellent explanation. Professor Charles kept the course from being monotonous. Learnt in depth about reading from file, sorting dictionaries and appending lists. Looking forward to learn more courses
por HA15 de jul. de 2016
I really liked the course. I just wish it was more practice heavy and the lectures were broken up more and there were quizzes during the lectures to keep you engaged more and make it more interactive.
por JL31 de ene. de 2017
Challenging for someone with zero experience with coding. Took a fairly long time to grind through the first two courses in the specialisation, but the lectures and course material were very helpful.
Acerca de Programa especializado: Python para todos
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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