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Joseph Santarcangelo
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...
Read more
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...
Read more
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.
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OpenCourser.com/course/phz8q2/python
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possible dealbreakers
Taught entirely in Spanish, ensuring inclusivity for learners with limited English proficiency
Coursework can be applied directly to real world applications, improving employability
Emphasizes hands-on learning through interactive labs, fostering practical skills
Covers a wide range of IBM Watson services, providing a comprehensive introduction to AI applications
Presents real-life examples of Watson's use cases, enhancing relevance and practicality
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Reviews summary
Engaging python course for data science and ai
This course provides a comprehensive introduction to Python for data science and AI. The course is easy to follow and well-paced, making it suitable for beginners or those with some programming experience. Hands-on labs and practical exercises provide valuable opportunities to apply what learners learn. The reviewed responses indicate overall satisfaction, though some learners have reported outdated links and technical difficulties using IBM Watson Studio.
Concepts are explained clearly and concisely.
Practical labs and exercises enhance learning.
"Excelente curso te aparte de aprender python puedes practicar durante el curso."
Some learners have experienced a lack of support from instructors.
"Un asco todo el curso definitivamente, no tienes soporte de ningun instructor, ni siquiera te puedes contactar con ellos."
Some links and activities are outdated.
"hay muchas actividades y laboratorios con enlaces caídos, lo cual vuelve un poco tediosas las actividades"
Some learners have encountered difficulties with IBM Watson Studio.
"La ultima plataforma de Watson Studio no funciona para hacer el ejercicio final."
"El contenido es bueno, pero la falta de soporte tanto de Coursera como la propia IBM es ilogico y hasta grosero, los problemas para obtener los datos de las practicas retrasan todo, lo desactualizado de los manuales de funcionamiento de la plataforma de IBM, es ilogico que IBM de solo un mes de prueba de la plataforma y te pida una tarjeta de credito cuando es un curso ofrecido por ellos."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Python para Data Science y AI with these
activities:
Engage in peer-to-peer discussions on AI topics
Show steps
Foster collaboration and knowledge exchange by participating in peer-to-peer discussions on AI.
Browse courses on
Artificial Intelligence
Show steps
-
Join online forums or discussion groups related to AI.
-
Identify topics for discussion or questions to ask.
-
Engage in discussions, share insights, and ask for clarification.
-
Provide constructive feedback and support to other participants.
Complete practice exercises related to AI
Show steps
Develop a strong foundation in AI concepts by practicing drills and exercises.
Browse courses on
Artificial Intelligence
Show steps
-
Locate practice exercises online or through the course platform.
-
Attempt to solve exercises independently.
-
Review solutions to understand the correct approaches.
Follow tutorials on IBM Watson services
Show steps
Gain hands-on experience with IBM Watson by following guided tutorials.
Browse courses on
IBM Watson
Show steps
-
Identify relevant IBM Watson services for the desired task.
-
Locate tutorials or documentation on using the selected services.
-
Follow the instructions and implement the tutorials.
-
Experiment with different parameters and settings.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Provide mentorship or support to aspiring AI enthusiasts
Show steps
Solidify understanding and reinforce knowledge by mentoring others in the field of AI.
Browse courses on
Artificial Intelligence
Show steps
-
Identify opportunities to mentor or support aspiring AI enthusiasts.
-
Share knowledge and provide guidance on AI concepts and best practices.
-
Review and provide feedback on their work and projects.
-
Encourage their growth and development in the field.
Attend a workshop on AI and Machine Learning
Show steps
Gain exposure to industry experts and practical applications through AI-related workshops.
Browse courses on
Artificial Intelligence
Show steps
-
Identify and register for relevant AI workshops.
-
Attend the workshop and actively participate in discussions.
-
Take notes and ask questions to clarify concepts.
-
Connect with other participants and experts.
Create a blog post or presentation on AI applications
Show steps
Enhance understanding and communication skills by creating content related to AI applications.
Browse courses on
AI Applications
Show steps
-
Research and gather information on AI applications in various industries.
-
Choose a specific application or use case to focus on.
-
Develop a blog post or presentation outline.
-
Write or design the content, ensuring clarity and engagement.
-
Share the blog post or presentation with others for feedback and discussion.
Participate in an AI hackathon or competition
Show steps
Apply knowledge and skills in a competitive environment by participating in AI hackathons or competitions.
Show steps
-
Identify and register for relevant AI hackathons or competitions.
-
Form a team or work individually on the challenge.
-
Develop and implement AI solutions within the given time frame.
-
Present the solution and compete with other participants.
-
Reflect on the experience and identify areas for improvement.
Engage in peer-to-peer discussions on AI topics
Show steps
Foster collaboration and knowledge exchange by participating in peer-to-peer discussions on AI.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Join online forums or discussion groups related to AI.
- Identify topics for discussion or questions to ask.
- Engage in discussions, share insights, and ask for clarification.
- Provide constructive feedback and support to other participants.
Complete practice exercises related to AI
Show steps
Develop a strong foundation in AI concepts by practicing drills and exercises.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Locate practice exercises online or through the course platform.
- Attempt to solve exercises independently.
- Review solutions to understand the correct approaches.
Follow tutorials on IBM Watson services
Show steps
Gain hands-on experience with IBM Watson by following guided tutorials.
Browse courses on
IBM Watson
Show steps
Show steps
Show steps
- Identify relevant IBM Watson services for the desired task.
- Locate tutorials or documentation on using the selected services.
- Follow the instructions and implement the tutorials.
- Experiment with different parameters and settings.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Provide mentorship or support to aspiring AI enthusiasts
Show steps
Solidify understanding and reinforce knowledge by mentoring others in the field of AI.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Identify opportunities to mentor or support aspiring AI enthusiasts.
- Share knowledge and provide guidance on AI concepts and best practices.
- Review and provide feedback on their work and projects.
- Encourage their growth and development in the field.
Attend a workshop on AI and Machine Learning
Show steps
Gain exposure to industry experts and practical applications through AI-related workshops.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Identify and register for relevant AI workshops.
- Attend the workshop and actively participate in discussions.
- Take notes and ask questions to clarify concepts.
- Connect with other participants and experts.
Create a blog post or presentation on AI applications
Show steps
Enhance understanding and communication skills by creating content related to AI applications.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Research and gather information on AI applications in various industries.
- Choose a specific application or use case to focus on.
- Develop a blog post or presentation outline.
- Write or design the content, ensuring clarity and engagement.
- Share the blog post or presentation with others for feedback and discussion.
Participate in an AI hackathon or competition
Show steps
Apply knowledge and skills in a competitive environment by participating in AI hackathons or competitions.
Show steps
Show steps
Show steps
- Identify and register for relevant AI hackathons or competitions.
- Form a team or work individually on the challenge.
- Develop and implement AI solutions within the given time frame.
- Present the solution and compete with other participants.
- Reflect on the experience and identify areas for improvement.
Career center
Learners who complete Python para Data Science y AI will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their expertise in machine learning, statistics, and data analysis to extract insights from data. This course will help you build a foundation in artificial intelligence and machine learning, which are essential skills for Data Scientists. You will also learn how to use IBM Watson, a powerful AI platform, to develop AI-powered applications.
AI Engineer
AI Engineer
AI Engineers design, develop, and deploy AI systems. This course will help you build a foundation in artificial intelligence and machine learning, which are essential skills for AI Engineers. You will also learn how to use IBM Watson, a powerful AI platform, to develop AI-powered applications.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. This course will help you build a foundation in artificial intelligence and machine learning, which are essential skills for Machine Learning Engineers. You will also learn how to use IBM Watson, a powerful AI platform, to develop AI-powered applications.
AI Researcher
AI Researcher
AI Researchers conduct research on new AI algorithms and techniques. This course will help you build a foundation in artificial intelligence and machine learning, which are essential skills for AI Researchers. You will also learn how to use IBM Watson, a powerful AI platform, to develop AI-powered applications that can help you conduct research.
Data Analyst
Data Analyst
Data Analysts use their skills in data analysis and visualization to help businesses make informed decisions. This course will help you build a foundation in artificial intelligence and machine learning, which are increasingly being used by Data Analysts to improve their work. You will also learn how to use IBM Watson, a powerful AI platform, to develop AI-powered applications that can help you automate tasks and gain insights from data.
Product Manager
Product Manager
Product Managers manage the development and launch of new products. This course may be useful for Product Managers who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered products.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a business. This course may be useful for Operations Managers who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered operations tools that can help you improve efficiency and productivity.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers get the most value from their products and services. This course may be useful for Customer Success Managers who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered customer support tools that can help you improve customer satisfaction.
Healthcare Analyst
Healthcare Analyst
Healthcare Analysts use data to improve the quality and efficiency of healthcare. This course may be useful for Healthcare Analysts who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered healthcare tools that can help you improve patient outcomes.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns. This course may be useful for Marketing Managers who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered marketing campaigns that can help you reach your target audience more effectively.
Education Specialist
Education Specialist
Education Specialists develop and implement educational programs. This course may be useful for Education Specialists who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered educational tools that can help you improve student learning.
Sales Manager
Sales Manager
Sales Managers lead sales teams and develop sales strategies. This course may be useful for Sales Managers who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered sales tools that can help you close more deals.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems. This course may be useful for Business Analysts who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered solutions that can help businesses improve their operations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered applications.
Financial Analyst
Financial Analyst
Financial Analysts provide financial advice to businesses and individuals. This course may be useful for Financial Analysts who want to learn more about artificial intelligence and machine learning. You will learn how to use IBM Watson, a powerful AI platform, to develop AI-powered financial tools that can help you make better investment decisions.
For more career information including salaries, visit:
OpenCourser.com/course/phz8q2/python
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Python para Data Science y AI.
Save
Comprehensive guide to deep learning, covering the latest algorithms and techniques. It is written by three of the leading researchers in the field, and it provides a deep understanding of the underlying principles of deep learning.
Provides a comprehensive overview of deep learning for natural language processing. It covers the basics of deep learning, as well as more advanced topics such as text classification, machine translation, and question answering.
Provides a comprehensive introduction to machine learning using Python. It covers the basics of machine learning, as well as more advanced topics such as deep learning and natural language processing.
Provides a hands-on introduction to data science. It covers the entire data science pipeline, from data collection to model deployment.
Provides a comprehensive introduction to Python for data analysis. It covers the basics of Python, as well as more advanced topics such as data cleaning, data manipulation, and data visualization.
Save
Provides a comprehensive overview of data mining. It covers the basics of data mining, as well as more advanced topics such as data warehousing, data visualization, and data security.
Provides a practical guide to data science for business. It covers the basics of data science, as well as more advanced topics such as data visualization, data mining, and machine learning.
Provides a comprehensive introduction to machine learning using R. It covers the basics of machine learning, as well as more advanced topics such as deep learning and natural language processing.
Provides a collection of recipes for solving common machine learning problems using Python. It covers a wide range of topics, from data preprocessing to model evaluation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/phz8q2/python
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Time
24 hours
Via
Coursera
Institutions
IBM
IBM Skills Network
Instructor
Joseph Santarcangelo
Good to know
Taught entirely in Spanish, ensuring inclusivity for learners with limited English proficiency
Coursework can be applied directly to real world applications, improving employability
Emphasizes hands-on learning through interactive labs, fostering practical skills
Covers a wide range of IBM Watson services, providing a comprehensive introduction to AI applications
Presents real-life examples of Watson's use cases, enhancing relevance and practicality
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