IBM Skills Network

Introducción a Contenedores con Docker y Kubernetes

Visualización de Datos con Python

Aprendizaje Automático con Python

DataOps Methodology

Data Engineering Capstone Project

Introduction to Software Engineering

Introduction to Artificial Intelligence (AI)

Scalable Machine Learning on Big Data using Apache Spark

Developing Cloud Apps with Node.js and React

Data Analysis with Python

Statistics for Data Science with Python

Getting Started with AI using IBM Watson

Introduction to Deep Learning & Neural Networks with Keras

O que é ciência de dados?

Visualização de dados com o Python

منهجية علم البيانات

Herramientas para la ciencia de datos

People and Soft Skills Assessment

IBM Data Analyst Capstone Project

Developing Applications with SQL, Databases, and Django

Fundamentals of Scalable Data Science

Applied Data Science Capstone

Back-end Application Development Capstone Project

Continuous Integration and Continuous Delivery (CI/CD)

Introduction to Test Driven Development (TDD)

Introduction to Hardware and Operating Systems

Developing Interpersonal Skills

Deep Neural Networks with PyTorch

Full Stack Cloud Development Capstone Project

Data Visualization with Python

Data Scientist Career Guide and Interview Preparation

ETL and Data Pipelines with Shell, Airflow and Kafka

مؤثرات عرض البيانات باستخدام لغة بايثون

Introducción a la Computación en la Nube

Базы данных и SQL в обработке и анализе данных

Introduction to Software, Programming, and Databases

Conceptos Básicos de IBM Cloud

Building AI Powered Chatbots Without Programming

Developing Cloud Native Applications

Data Analyst Career Guide and Interview Preparation

Artificial Intelligence (AI) Education for Teachers

Metodologia de Ciência de Dados

Introduction to Big Data with Spark and Hadoop

Databases and SQL for Data Science with Python

Excel Basics for Data Analysis

Python Project for Data Science

Metodología de la ciencia de datos

DevOps Capstone Project

Python: обработка и анализ данных и ИИ

Developing Back-End Apps with Node.js and Express

Supervised Machine Learning: Regression

Applied AI with DeepLearning

Data Visualization with R

Introduction to Cloud Computing

Análisis de datos con Python

Python Project for Data Engineering

Методология обработки и анализа данных

Construyendo Cloud Native y Multicloud

Conceptos Básicos de Excel para el Análisis de Datos

Exploratory Data Analysis for Machine Learning

Data Engineering and Machine Learning using Spark

Supervised Machine Learning: Classification

Ciencia de Datos Aplicada - Curso Capstone

Iniciación A La IA con IBM Watson

Introduction to Relational Databases (RDBMS)

Анализ данных с использованием Python

Deep Learning and Reinforcement Learning

Specialized Models: Time Series and Survival Analysis

Unsupervised Machine Learning

Что такое обработка и анализ данных?

Introduction to Computer Vision and Image Processing

Technical Support Case Studies and Capstone

Python para Data Science y AI

Análise de dados com Python

Introducción a La Inteligencia Artificial (IA)

Заключительный курс по теме «Прикладная наука о данных»

IBM Cloud Essentials

Introduction to Cybersecurity Essentials

Introduction to Data Analytics

Creando Chatbots con Tecnología de IA Sin experiencia en Programación

SQL for Data Science with R

Advanced Machine Learning and Signal Processing

Python Project for AI & Application Development

Solving Problems with Creative and Critical Thinking

Data Science with R - Capstone Project

데이터 과학이란 무엇인가?

Introduction to Networking and Storage

Introduction to Web Development with HTML, CSS, JavaScript

Full Stack Software Developer Assessment

IBM Data Privacy for Information Architecture

Machine Learning Introduction for Everyone

Creación de aplicaciones de IA con las API de Watson

Application Development using Microservices and Serverless

قواعد البيانات وSQL (لغة الاستعلام البنيوية) لعلم البيانات

Bases de datos y SQL para ciencia de datos

Collaborate Effectively for Professional Success

Assessment for Data Analysis and Visualization Foundations

كابستون علوم البيانات التطبيقية

¿Qué es la ciencia de datos?

Python para a Ciência de Dados e IA

Trabalho de conclusão de Ciência de Dados Aplicada

التعلّم الآلي باستخدام لغة بايثون

بايثون لعلوم البيانات والذكاء الصناعي

Data Analysis with R

Tech Support Career Guide and Interview Preparation

تحليل البيانات باستخدام بايثون

Building Cloud Native and Multicloud

Delivering Quality Work with Agility

Introduction to Technical Support

What is Data Science?

Data Visualization and Dashboards with Excel and Cognos

Building Deep Learning Models with TensorFlow

Bancos de dados e SQL para Ciência de Dados

Data Science Methodology

AI Capstone Project with Deep Learning

Introduction to NoSQL Databases

Машинное обучение с использованием Python

Advanced Data Science Capstone

Data Engineering Career Guide and Interview Preparation

Machine Learning with Python

Machine Learning Capstone

Introduction to Data Engineering

Getting Started with Data Warehousing and BI Analytics

Building AI Applications with Watson APIs

ما علم البيانات؟

Estadísticas para la Ciencia de Datos con Python

Introduction to Containers w/ Docker, Kubernetes & OpenShift

Python for Data Science, AI & Development

Introduction to Agile Development and Scrum

Introduction to R Programming for Data Science

Developing Front-End Apps with React

Present with Purpose: Create/Deliver Effective Presentations

Визуализация данных с помощью Python

Introducción al Análisis de Datos

Relational Database Administration (DBA)

Proyecto Final de Analítica de Datos

Hands-on Introduction to Linux Commands and Shell Scripting

Application Security and Monitoring

Software Developer Career Guide and Interview Preparation

Aprendizado de máquina com Python

Introduction to DevOps

SQL: A Practical Introduction for Querying Databases

Tools for Data Science

Visualización de Datos y Tableros con Excel y Cognos

Getting Started with Git and GitHub