Joseph Santarcangelo

Offered By

IBM

About this Course

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En este curso aprenderá cómo comenzar rápida y fácilmente con la Inteligencia Artificial utilizando IBM Watson. Comprenderá cómo funciona Watson, se familiarizará con sus casos de uso y ejemplos de clientes de la vida real, y se le presentarán varios de los servicios de inteligencia artificial de Watson de IBM que permiten a cualquiera aplicar fácilmente la inteligencia artificial y crear aplicaciones inteligentes. También trabajará con varios servicios de Watson para demostrar la IA en acción.
Este curso no requiere ninguna experiencia en programación o ciencias de la computación y está diseñado para cualquier persona, ya sea que tenga una formación técnica o no.

Esta es una traducción al español de un curso que se creó originalmente en inglés. Muchos de los componentes del curso se han traducido al español, incluidos títulos de lecciones, transcripciones de videos, lecturas, instrucciones de laboratorio y cuestionarios. Sin embargo, algunos componentes del curso, incluidos los videos originales y su narración, todavía están en inglés.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 26 hours to complete

Spanish

Subtitles: Spanish, Korean, English, German

Instructor

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

417,857 Learners

9 Courses

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 26 hours to complete

Spanish

Subtitles: Spanish, Korean, English, German

Offered by

IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.

Syllabus - What you will learn from this course

Week

Week 1

4 hours to complete

Conceptos básicos de Python

4 hours to complete

3 videos (Total 11 min), 2 readings, 5 quizzes

3 videos

Tipos2m

Expresiones y Variables3m

Operaciones de cadena3m

2 readings

Sobre este curso10m

INTRODUCCIÓN10m

3 practice exercises

Tipos30m

Expresiones y Variables30m

String Operations30m

Week

Week 2

6 hours to complete

Estructuras de datos de Python

6 hours to complete

3 videos (Total 16 min)

3 videos

Listas y Tuplas8m

Diccionario2m

Sets5m

3 practice exercises

Listas and Tuplas30m

Diccionario30m

Sets30m

Week

Week 3

6 hours to complete

Fundamentos de programación de Python

6 hours to complete

4 videos (Total 41 min)

4 videos

Condiciones y Ramificaciones10m

Bucles6m

Funciones13m

Objectos y Clases10m

4 practice exercises

Condiciones y ramificaciones30m

Loops30m

Funciones30m

Objectos y Clases30m

Week

Week 4

9 hours to complete

Trabajando con datos en Python

9 hours to complete

8 videos (Total 42 min), 2 readings, 11 quizzes

8 videos

Leer archivos con Open3m

Escribir archivos con Open2m

Cargando datos con Pandas4m

Pandas: Trabajar con Datos y Guardarlos 2m

Numpy de Una Dimensión11m

Numpy de Dos Dimensiones7m

API s Sencillas (Parte 1)5m

APIs Sencillas (Parte 2) 5m

2 readings

Laboratorio: Pandas con IBM Watson Studio10m

Instrucción para las teclas API de Speech to Text and Language Translator10m

5 practice exercises

Leer archivos con Open30m

Escribir archivos con Open30m

Pandas30m

Numpy de Una Dimensión30m

Numpy de Dos Dimensiones30m

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Python para Data Science y AI