Stirling University x IBM: Data Science Lifecycle

Nov
12:00pm
Stirling University x IBM: Data Science Lifecycle

By IBM Developer
Unlisted
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.
🎓 What will you learn?
About data science and its 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
🎈Prerequisites
Log In or Sign up to IBM Cloud: https://ibm.biz/StirlingDSL
👩‍💻 Who should attend?
Software developers
Computer science students
Data Scientists
Anyone with an interest in the field of data
🎙️ Speaker(s)
Fawaz Siddiqi - Developer Advocate, IBM
(https://linktr.ee/thefaz)
Mridul Bhandari  - Developer Advocate, IBM
(https://www.linkedin.com/in/mridul-bhandari/)
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