Showing 8677–8688 of 18767 results
IBM: Software, Programming, and Database Basics
This course introduces the fundamentals of software, programming languages, web browsers, cloud computing and database concepts.
IBM: Software, Programming, and Database Basics
This course introduces the fundamentals of software, programming languages, web browsers, cloud computing and database concepts.
IBM: Software, Programming, and Database Basics
This course introduces the fundamentals of software, programming languages, web browsers, cloud computing and database concepts.
IBM: Software, Programming, and Database Basics
This course introduces the fundamentals of software, programming languages, web browsers, cloud computing and database concepts.
IBM: SQL for Data Science
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
IBM: SQL for Data Science
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
IBM: SQL for Data Science
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
IBM: SRE Infrastructure, Resiliency and Deployment Automation
Discover the importance of reliability engineering and resiliency for services and how the deployment pipeline can be used to help with automation. Explore various infrastructure types, troubleshoot common service issues, including Kubernetes and Openshift clusters.
IBM: SRE Infrastructure, Resiliency and Deployment Automation
Discover the importance of reliability engineering and resiliency for services and how the deployment pipeline can be used to help with automation. Explore various infrastructure types, troubleshoot common service issues, including Kubernetes and Openshift clusters.
IBM: The Data Science Method
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.
IBM: The Data Science Method
Learn about the methodology, practices and requirements behind data science to better understand how to problem solve with data and ensure data is relevant and properly manipulated to address a variety of real-world projects and business scenarios.
IBM: Using GPUs to Scale and Speed-up Deep Learning
Training complex deep learning models with large datasets takes along time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning.