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.
By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.
Este curso forma parte de Programa Especializado - Introduction to Scripting in Python
Python Data Visualization
ofrecido por
Programa - Qué aprenderás en este curso
Semana
1Week 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.
6 videos (Total 38 minutos), 2 readings, 1 quiz
6 videos
Welcome!1m
Class Structure3m
Using Python Documentation8m
Writing Documentation9m
Python Built-in Modules5m
Installing Packages in Thonny9m
2 lecturas
Code Reuse10m
Practice Project: Drawing a USA Map in matplotlib10m
1 ejercicio de práctica
Documentation14m
Semana
2Week 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.
6 videos (Total 43 minutos), 3 readings, 2 quizzes
6 videos
Importing Your Own Code7m
Line Plots with Pygal6m
Installing Packages using PIP - Part 17m
Installing Packages using PIP - Part 26m
Project 1 Video10m
3 lecturas
Practice Project: Extracting Data from an SVG File10m
Project Description: Creating Line Plots of GDP Data10m
OwlTest: Automated Feedback and Assessment10m
Semana
3Week 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.
4 videos (Total 36 minutos), 3 readings, 1 quiz
4 videos
Analyzing the Efficiency of Your Code8m
Comparing Two Methods for Joining CSV Files9m
Project 2 Video9m
3 lecturas
Hashing10m
Practice Project: Reconciling Cancer-Risk Data with the USA Map10m
Project Description: Plotting GDP Data on a World Map - Part 110m
Semana
4Week 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.
3 videos (Total 29 minutos), 3 readings, 1 quiz
3 lecturas
Version Control10m
Practice Project: Visualizing Cancer-risk Data on the USA Map10m
Project Description: Plotting GDP Data on a World Map - Part 210m
Principales revisiones
por FG•Dec 9th 2018
Great introduction to Python visualizations. The assignments are challenging but relevant and echo real world problems you might encounter.
por SG•Jul 20th 2018
The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.
Instructores
Scott Rixner
ProfessorComputer Science
Joe Warren
ProfessorComputer Science
Acerca de Rice University
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.
Acerca del programa especializado Introduction to Scripting in Python
This specialization is intended for beginners who would like to master essential programming skills. Through four courses, you will cover key programming concepts in Python 3 which will prepare you to use Python to perform common scripting tasks. This knowledge will provide a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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