{"id":690,"date":"2021-10-20T07:52:38","date_gmt":"2021-10-20T07:52:38","guid":{"rendered":"https:\/\/stir.ae\/blog\/?p=690"},"modified":"2021-11-08T09:59:17","modified_gmt":"2021-11-08T09:59:17","slug":"data-science-lifecycle-workshop","status":"publish","type":"post","link":"https:\/\/stir.ae\/blog\/data-science-lifecycle-workshop\/","title":{"rendered":"Data Science Lifecycle Workshop by IBM"},"content":{"rendered":"\n

Did you know that we generate almost 2.5 quintillion bytes of data? And thus, we need data science to make sense out of all the data that we are generating. Data science is a vast field that consists of personas that wear different hats and do different things, and to manage all these tasks we refer to a data science methodology that takes us step by step from business understanding to developing machine learning models for a given problem.<\/p>\n\n\n\n

In this webinar, we will be discussing the data science methodology, talking about the types of data and machine learning models, discussing the different hat’s a data scientist wears and conducting a hands-on session that you can follow with us to create a machine learning model from the data that will be provided to you.<\/p>\n\n\n\n

Register for the session here: https:\/\/www.crowdcast.io\/e\/stirling-university-x\/register<\/a><\/strong><\/p>\n\n\n\n

\ud83c\udf93 What will you learn?<\/h3>\n\n\n\n

About data science and it’s implications
Types of machine learning models
Types of data that you will see in your career as a data scientist
About the data science methodology
How to structure Data Science projects
<\/p>\n\n\n\n

\ud83c\udf88Prerequisites<\/h3>\n\n\n\n

Sign up\/login to IBM Cloud:<\/strong> https:\/\/ibm.biz\/SterlingDSL<\/a><\/p>\n\n\n\n


\ud83d\udc69\u200d\ud83d\udcbb Who should attend?<\/h3>\n\n\n\n