Acerca de este 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 quién es esta clase: 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.
Enseñado por: Scott Rixner, Professor
Computer Science
Enseñado por: Joe Warren, Professor
Computer Science
| Información básica | Curso 4 de 4 en Introduction to Scripting in Python Specialization |
| Nivel | Beginner |
| Compromiso | This is a four week class with an expected workload of 5-7 hours per week. |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
- Vídeo: Welcome!
- 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
- Vídeo: Python Packages and Modules
- 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
- Vídeo: Python Sets
- 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
- Vídeo: Growing as a Scripter
- 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
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Very good course. Thorough and detailed explanation of all concepts. Course takes you smoothly from beginner level to the very end. Amazing how much can be learned in this course. The learning curve is gradual so make sure you follow instructions and complete all the practice assignments in order. Definitely worth the time.
Awesome course! From 0 to hero :D
A challenging and rewarding specialization - thank you Joe and Scott!
MH
At times a bit tough if you want to fully understand all parts of the "basics", but highly worth it