Informações sobre o curso: 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.
Para quem é direcionado este curso: This class is for people who have completed the other courses within the specialization and want to put the skills they have learned throughout the specialization to use in a culminating project.
Desenvolvido por: Rice University
Ministrado por: Scott Rixner, Professor
Computer ScienceMinistrado por: Joe Warren, Professor
Computer Science
| Informações básicas | Curso 4 de 4 no Introduction to Scripting in Python Specialization |
| Nível | Básico |
| Compromisso | This is a four week class with an expected workload of 5-7 hours per week. |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
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.
6 videos, 2 leituras
- Vídeo: Class Structure
- Vídeo: Using Python Documentation
- Vídeo: Writing Documentation
- Vídeo: Python Built-in Modules
- Reading: Code Reuse
- Vídeo: Installing Packages in Thonny
- Reading: Practice Project: Drawing a USA Map in matplotlib
Nota atribuída: Documentation
SEMANA 2
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.
6 videos, 3 leituras
- Vídeo: Importing Your Own Code
- Vídeo: Line Plots with Pygal
- Vídeo: Installing Packages using PIP - Part 1
- Vídeo: Installing Packages using PIP - Part 2
- Reading: Practice Project: Extracting Data from an SVG File
- Vídeo: Project 1 Video
- Reading: Project Description: Creating Line Plots of GDP Data
- Reading: OwlTest: Automated Feedback and Assessment
- LTI Item: Project Submission History
Nota atribuída: Project: Creating Line Plots of GDP Data
SEMANA 3
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.
4 videos, 3 leituras
- Reading: Hashing
- Vídeo: Analyzing the Efficiency of Your Code
- Vídeo: Comparing Two Methods for Joining CSV Files
- Reading: Practice Project: Reconciling Cancer-Risk Data with the USA Map
- Vídeo: Project 2 Video
- Reading: Project Description: Plotting GDP Data on a World Map - Part 1
Nota atribuída: Project: Plotting GDP Data on World Map (Part 1)
SEMANA 4
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.
3 videos, 3 leituras
- Reading: Version Control
- Reading: Practice Project: Visualizing Cancer-risk Data on the USA Map
- Vídeo: Project 3 Video
- Reading: Project Description: Plotting GDP Data on a World Map - Part 2
- Vídeo: Wrapup Video
Nota atribuída: Project: Plotting GDP Data on World Map (Part 2)
Perguntas frequentes
Como funciona
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
The instructors are great, however, the library pygal is outdated, it does not support the newest versions of python.
Finished on 05/20/2018
Nice
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KK
It has been a while since I programmed. however, throughly enjoyed the depth of the course