IBM

DataOps Methodology

Data Engineering Capstone Project

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

Cybersecurity Roles, Processes & Operating System Security

IBM Data Analyst Capstone Project

Cybersecurity Compliance Framework & System Administration

Introduction to Cybersecurity Tools & Cyber Attacks

Private Cloud Management on IBM Power Systems

Developing Applications with SQL, Databases, and Django

Linux System Administration with IBM Power Systems

Fundamentals of Scalable Data Science

Applied Data Science Capstone

Deep Neural Networks with PyTorch

AI Workflow: AI in Production

COBOL Programming with VSCode

Full Stack Cloud Development Capstone Project

Data Visualization with Python

ETL and Data Pipelines with Shell, Airflow and Kafka

Introducción a la Computación en la Nube

Building AI Powered Chatbots Without Programming

Developing Cloud Native Applications

Artificial Intelligence (AI) Education for Teachers

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

AI Workflow: Enterprise Model Deployment

Cyber Threat Intelligence

IBM Cybersecurity Analyst Assessment

Supervised Machine Learning: Regression

Applied AI with DeepLearning

Data Visualization with R

The AI Ladder: A Framework for Deploying AI in your Enterprise

Introduction to Cloud Computing

Python Project for Data Engineering

Penetration Testing, Incident Response and Forensics

Exploratory Data Analysis for Machine Learning

Data Engineering and Machine Learning using Spark

Supervised Machine Learning: Classification

Introduction to Relational Databases (RDBMS)

Deep Learning and Reinforcement Learning

Specialized Models: Time Series and Survival Analysis

Introduction to Enterprise Computing

Unsupervised Machine Learning

Introduction to Computer Vision and Image Processing

IBM Cloud Essentials

AI Workflow: Business Priorities and Data Ingestion

Introduction to Data Analytics

SQL for Data Science with R

Advanced Machine Learning and Signal Processing

Python Project for AI & Application Development

Data Science with R - Capstone Project

Introduction to Web Development with HTML, CSS, JavaScript

Basic System Programming on IBM Z

IBM Data Privacy for Information Architecture

Application Development using Microservices and Serverless

Machine Learning Rapid Prototyping with IBM Watson Studio

IBM z/OS Rexx Programming

Data Analysis with R

Building Cloud Native and Multicloud

AI Workflow: Machine Learning, Visual Recognition and NLP

What is Data Science?

Introduction to Enterprise Resiliency

Data Visualization and Dashboards with Excel and Cognos

Building Deep Learning Models with TensorFlow

Data Science Methodology

AI Capstone Project with Deep Learning

Introduction to NoSQL Databases

Cybersecurity Capstone: Breach Response Case Studies

Advanced Data Science Capstone

Machine Learning with Python

Introduction to Data Engineering

Getting Started with Data Warehousing and BI Analytics

Network Security & Database Vulnerabilities

Building AI Applications with Watson APIs

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

Relational Database Administration (DBA)

Hands-on Introduction to Linux Commands and Shell Scripting

Getting Started on Mainframe with z/OS Commands and Panels

AI Workflow: Data Analysis and Hypothesis Testing

AI Workflow: Feature Engineering and Bias Detection

IBM Data Topology

Tools for Data Science

Introducción a Contenedores con Docker y Kubernetes

Visualización de Datos con Python

Aprendizaje Automático con Python

O que é ciência de dados?

Visualização de dados com o Python

منهجية علم البيانات

Herramientas para la ciencia de datos

مؤثرات عرض البيانات باستخدام لغة بايثون

Базы данных и SQL в обработке и анализе данных

Conceptos Básicos de IBM Cloud

Metodologia de Ciência de Dados

Metodología de la ciencia de datos

Python: обработка и анализ данных и ИИ

Análisis de datos con Python

Методология обработки и анализа данных

Construyendo Cloud Native y Multicloud

Conceptos Básicos de Excel para el Análisis de Datos

Ciencia de Datos Aplicada - Curso Capstone

Iniciación A La IA con IBM Watson

Анализ данных с использованием Python

Что такое обработка и анализ данных?

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»

Creando Chatbots con Tecnología de IA Sin experiencia en Programación

Creación de aplicaciones de IA con las API de Watson

قواعد البيانات وSQL (لغة الاستعلام البنيوية) لعلم البيانات

Bases de datos y SQL para ciencia de datos

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

تحليل البيانات باستخدام بايثون

Bancos de dados e SQL para Ciência de Dados

Машинное обучение с использованием Python

ما علم البيانات؟

Estadísticas para la Ciencia de Datos con Python

Визуализация данных с помощью Python

Introducción al Análisis de Datos

Proyecto Final de Analítica de Datos

Aprendizado de máquina com Python

Visualización de Datos y Tableros con Excel y Cognos