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 faz parte do Programa de cursos integrados Introduction to Scripting in Python
Python Data Visualization
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Programa - O que você aprenderá com 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 min), 2 leituras, 1 teste
6 videos
Welcome!1min
Class Structure3min
Using Python Documentation8min
Writing Documentation9min
Python Built-in Modules5min
Installing Packages in Thonny9min
2 leituras
Code Reuse10min
Practice Project: Drawing a USA Map in matplotlib10min
1 exercício prático
Documentation14min
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 min), 3 leituras, 2 testes
6 videos
Importing Your Own Code7min
Line Plots with Pygal6min
Installing Packages using PIP - Part 17min
Installing Packages using PIP - Part 26min
Project 1 Video10min
3 leituras
Practice Project: Extracting Data from an SVG File10min
Project Description: Creating Line Plots of GDP Data10min
OwlTest: Automated Feedback and Assessment10min
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 min), 3 leituras, 1 teste
4 videos
Python Sets7min
Analyzing the Efficiency of Your Code8min
Comparing Two Methods for Joining CSV Files9min
Project 2 Video9min
3 leituras
Hashing10min
Practice Project: Reconciling Cancer-Risk Data with the USA Map10min
Project Description: Plotting GDP Data on a World Map - Part 110min
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 min), 3 leituras, 1 teste
3 leituras
Version Control10min
Practice Project: Visualizing Cancer-risk Data on the USA Map10min
Project Description: Plotting GDP Data on a World Map - Part 210min
Melhores avaliações
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.
Instrutores
Scott Rixner
ProfessorComputer Science
Joe Warren
ProfessorComputer Science
Sobre 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.
Sobre o Programa de cursos integrados 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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