When:Sunday, Nov 4, 2018 09:00 to 17:00
Where: Neptune III
Price: FREE
LIMITED PLACES AVAILABLE PLEASE REGISTER ASAP ALLOCATED ON FIRST COME BASIS
IF YOU HAVE ANY SPECIAL DIET REQUIREMENTS PLEASE EMAIL SUREKHA@UK.IBM.COM
Abstract:
This is an introduction, where you can learn the fundamentals of data science from data scientists at IBM.
Prerequisite course requirements:You are either already comfortable programming in Python, or you have successfully completed the following online course Python 101
This free Python course provides a beginner-friendly introduction to Python. Practice through lab exercises, and you'll be ready to start data analysis in the bootcamp!
- https://courses.bdu.intela-edu.com/courses/course-v1:BDU+PY0101EN+v2/about
- https://cognitiveclass.ai/courses/introduction-to-python/
Agenda (Data Science)
- Introduction to Data Science (09:00-11:00)
- Cognitive Class Data Science course
- Training environment
- Online courses
- Introduction to Machine Learning (11:00-12:00)
- Break (12:00-13:00)
- Introduction to Machine Learning (13:00-14:00)
- Introduction to AI (14:00-16:00)
- Introduction to IBM’s Cloud Financial Services (or Hands-on exercise session)
– optional (laptop & internet connection required)
Places are limited and will be offered on first come basis!
Speaker Bio:
Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada.
Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach.
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