This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.
Este curso forma parte de Programa especializado: Introduction to Scripting in Python
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Programa especializado: Introduction to Scripting in PythonUniversidad RiceAcerca de este Curso
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Fechas límite flexibles
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Curso 4 de 4 en
Nivel principiante
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
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 4 de 4 en
Nivel principiante
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad Rice
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
Programa - Qué aprenderás en este curso
1 hora para completar
Week 1
This module will discuss the importance of using and writing documentation. The Python documentation is a valuable resource for learning about language features you haven't seen yet.
1 hora para completar
6 videos (Total 38 minutos), 2 lecturas, 1 cuestionario
3 horas para completar
Week 2
This module will teach you about packages and modules in Python, including how to install packages and how to create your own modules. You will also learn to use the Pygal plotting library.
3 horas para completar
6 videos (Total 43 minutos), 3 lecturas, 2 cuestionarios
2 horas para completar
Week 3
This module will teach you about Python sets. Sets are used to hold unordered collections of data without duplicates. We will also discuss efficiency.
2 horas para completar
4 videos (Total 36 minutos), 3 lecturas, 1 cuestionario
2 horas para completar
Week 4
The final project of the specialization will enable you to demonstrate mastery of the concepts you have learned up to this point. You will also be able to understand and compare different approaches to reconciling two data sets.
2 horas para completar
3 videos (Total 29 minutos), 3 lecturas, 1 cuestionario
Reseñas
- 5 stars77,99 %
- 4 stars13,70 %
- 3 stars4,82 %
- 2 stars1,93 %
- 1 star1,54 %
Principales reseñas sobre PYTHON DATA VISUALIZATION
por HS5 de ene. de 2018
A challenging and rewarding specialization - thank you Joe and Scott!
por SA14 de ago. de 2020
Very intresting course thanks to teachers and thanks to coursera
por SX19 de jul. de 2018
The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.
por VH19 de abr. de 2020
It is more about python basics, nor data visualization exactly
Acerca de Programa especializado: Introduction to Scripting in Python
Developed by Rice University's world-class Computer Science & Data Science faculty, this specialization is intended for beginners who would like to master essential programming skills.
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