IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world. For more information about IBM visit: www.ibm.com
Libera tu potencial en el análisis de datos. . Desarrolla las habilidades necesarias para realizar una carrera como analista de datos. No se requiere ningún título ni experiencia previa.
Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No degree or prior experience required.
Kickstart Your Data Analytics Career w/ Excel & R. Master the data analysis and visualization tools to transform data into information and insights.
Launch your career as an AI engineer. Learn how to provide business insights from big data using machine learning and deep learning techniques.
Launch your career as an IBM z/OS Practitioner. Build skills in IBM Z, a platform used in the world's most critical businesses.
Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.
Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.
Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required.