Coursera

Python para Data Science y AI (Coursera)

Offered by IBM,

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

Syllabus

WEEK 1: Conceptos básicos de Python
WEEK 2: Estructuras de datos de Python
WEEK 3: Fundamentos de programación de Python
WEEK 4: Trabajando con datos en Python
WEEK 5: Análisis de datos económicos de EE. UU. Y creación de un panel de control

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of Leeds

Programming for Data Science (Coursera)

CS: Programming Data Science

Explore the basics of programming and familiarise yourself with the Python language. After completing this course, you will be able to write Python programs in Jupyter Notebook and describe basic programming. In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions.

Sep 21st 2026

3 Weeks

Programming Python Data Science

Coursera

Fred Hutchinson Cancer Center

Determining AI Needs (Coursera)

Data Science

There are a ever increasing number of options, strategies and solutions for integrating AI solutions into a project. It can feel overwhelming to understand what these options entail let alone understand how to decide what solution best fits a use case. In this course we aim to give individuals the basic info they need to make basic plans for integrating AI tools into their project.

Sep 21st 2026

1 Week

Artificial Intelligence Project Planning AI

Coursera

Google Cloud

Introduction to Generative AI (Coursera)

CS: Information & Technology

This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

Sep 21st 2026

1 Week

Artificial Intelligence AI Coursera Plus

Coursera

Fred Hutchinson Cancer Center

Exploring AI Possibilities (Coursera)

Computer Science

This course on Exploring AI Possibilities for Decision Makers explores the growing use of AI across disciplines and its potential benefits and challenges. The course covers necessary context, such as discussing what AI is, how it works, and key definitions in AI. Through exploring the many AI possibilities at your fingertips, you will build leadership skills for helping your business or community work more efficiently, creatively, and ethically.

Sep 21st 2026

1 Week

Artificial Intelligence AI Coursera Plus

Coursera

Macquarie University

Artificial Intelligence (AI) Education for Teachers (Coursera)

Education Social Sciences

Today’s learners need to know what artificial intelligence (AI) is, how it works, how to use it in their everyday lives, and how it could potentially be used in their future. Using AI requires skills and values which extend far beyond simply having knowledge about coding and technology. This course is designed by teachers, for teachers, and will bridge the gap between commonly held beliefs about AI, and what it really is. AI can be embedded into all areas of the school curriculum and this course will show you how. This course will appeal to teachers who want to increase their general understanding of AI, including why it is important for learners; and/or to those who want to embed AI into their teaching practice and their students’ learning.

Sep 21st 2026

5-12 Weeks

Education Artificial Intelligence Creative

Coursera

University of Leeds

An Introduction to Programming using Python (Coursera)

CS: Programming

Maximise your employability, by learning the basics of coding in Python. Python is a versatile programming language used for developing websites and software, task automation, data analysis and more. In this course, you'll embark on an exciting journey into the world of Python and gain valuable skills that will enable you to start thinking about a career in programming.

Sep 21st 2026

2 Weeks

Programming Python Coding

Coursera

Vanderbilt University

Generative AI for Leaders (Coursera)

Management & Leadership Data Science

Leaders are constantly seeking innovative tools to amplify their impact. Dive into the realm of Generative AI, a groundbreaking technology poised to redefine the leadership landscape more profoundly than the Internet itself. This course offers a comprehensive journey into understanding, applying, and mastering Generative AI as a robust tool to amplify leadership capabilities.

Sep 21st 2026

3 Weeks

Artificial Intelligence Leadership AI

Coursera

University of Michigan

Programação para todos (Conceitos básicos de Python) (Coursera)

CS: Programming

Este curso tem como objetivo ensinar a todos os conceitos básicos de programação de computadores usando Python. Abordamos o básico de como criar um programa a partir de uma série de instruções simples em Python. O curso não tem pré-requisitos e evita tudo, exceto a matemática mais simples. Qualquer pessoa com experiência moderada em computadores deve ser capaz de dominar os materiais deste curso. Este curso abordará os capítulos 1 ao 5 do livro “Python para Todos”.

Sep 21st 2026

5-12 Weeks

Programming Python Functions

Coursera

University of Chicago

Machine Learning: Concepts and Applications (Coursera)

Data Science

This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, clustering, principal component analysis, hidden Markov models, and deep learning.

Sep 21st 2026

5-12 Weeks

Python Machine Learning Clustering

Coursera

King Abdullah University of Science and Technology (KAUST)

Fundamental Skills in Bioinformatics (Coursera)

Statistics & Data Analysis Data Science

The course provides a broad and mainly practical overview of fundamental skills for bioinformatics (and, in general, data analysis). The aim is to support the simultaneous development of quantitative and programming skills for biological and biomedical students with little or no background in programming or quantitative analysis.

Sep 21st 2026

4 Weeks

Programming Bioinformatics RNA Sequencing

Coursera

Yonsei University

Deep Learning for Business (Coursera)

Management & Leadership

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Sep 21st 2026

5-12 Weeks

Business ML Artificial Intelligence

Coursera

Board Infinity

AI-Driven Attribution Testing (Coursera)

Data Science

Welcome to AI-Driven Attribution Testing course an engaging and comprehensive course designed to guide you through the fundamental concepts and practical applications of attribution testing powered by artificial intelligence. This course is most suitable for marketers, data analysts, data scientists, and business leaders who aim to leverage data-driven insights for decision-making. It's also beneficial for students and professionals with a keen interest in the convergence of AI, data analysis, and marketing.

Sep 21st 2026

2 Weeks

ML Artificial Intelligence Machine Learning