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.

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.

Types of data that you will see in your career as a data scientist

Log In or Sign up to IBM Cloud: https://ibm.biz/StirlingDSL

Anyone with an interest in the field of data

Fawaz Siddiqi - Developer Advocate, IBM
(https://linktr.ee/thefaz)

Mridul Bhandari  - Developer Advocate, IBM
(https://www.linkedin.com/in/mridul-bhandari/)

____________________________________________________________________________ 
By registering for this event, you acknowledge that this video will be recorded & you consent for it to be featured on IBM media platforms and pages, as well as agree to the IBM Developer Terms of Use. https://developer.ibm.com/terms/ibm-developer-terms-of-use/

Stirling University x IBM: Data Science Lifecycle