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FREE INTRO TO DATA SCIENCE CLASS ONLINE
September 14 @ 6:00 am - 8:00 amFREE
About This Workshop
Working from real life case studies, we will review:
What is Data Science?
How is it used?
Key tools and processes data scientists use.
How to get started in Data Science.
Learn what data scientists do and the types of problems they solve.
Walk through the typical data science workflow and see how the pros identify powerful business predictions.
Explore key tools and processes data scientists use to analyze, visualize, and model data.
Apply what you’ve learned to a data set to produce your own recommendations.
Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our Data Science Immersive or Data Science part-time programs.
A second monitor is recommended, but not required.
Additionally, students will need to download and install Anaconda (the latest Python Version 3.x): Download link here.
YouTube for installing on Mac: How to install Anaconda on Mac
YouTube for installing on Windows: How to install Anaconda on Windows
Tip: Scroll to your operating system version and click on the install button for Anaconda with the latest version Python 3.x. Note: We’ll be using the latest version of Python version 3.x in this workshop.
For students on Windows, you’ll need Microsoft Windows 8/10 (32- or 64-bit). For those with Macs, you’ll need the Mac OS X 10.8.5 or higher, up to 10.11.4 (El Capitan).
NOTE: A small percentage of participants may not receive emails from us due to some domains blocking our automated emails. If you do not receive sign in instructions within 1 hour of the livestream, please email firstname.lastname@example.org and someone from our team will be sure to respond to you with sign in instructions right away.
About the Instructor
Divya started her career as a Software Engineer developing web-based applications for the US insurance industry while at Infosys, India. She received her masters and doctorate from Nanyang Technological University, Singapore. Including her graduate degree, Divya has been an ardent data science practitioner for close to 12 years making the journey from a signal processing engineer to a researcher to an applied machine learning/ AI engineer working on multiple projects across different industry verticals such as Energy (Halliburton), eduTech (CRADLE@NTU), Risk Management (Sense Infosys) and MedTech (AiHighway).
Divya specializes in processing time-series and sequence data including natural language and is a strong believer in the lean start-up methodology of thinking and execution. She also heads technology for an early-stage MedTech startup AiHighway Inc, where she is developing algorithms for an acoustic-based tool to screen for heart disorders at primary care clinics.