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.
What will this remote learning experience be like?
- Ask questions and interact with peers and expert instructors —all in real time. Collaborate via live chatbox and Q&A.
- Complete hands-on coursework in an online classroom designed to keep you engaged and focused.
- Gain accountability and guidance from your instructor and fellow classmates to help you turn skills into career success.
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 our team will send sign in instructions right away.
- 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.
- A second monitor is recommended, but not required.
- Download and install Anaconda (the latest Python Version 3.x)
- Instructions for installing on Mac: How to install Anaconda on Mac
- Instructions 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).
About the Instructor
Craig has been a data science and analytics instructor at General Assembly since 2014 and he has over 2,000 hours of teaching experience. Prior to teaching at General Assembly, he worked as a data scientist at Euclid Analytics. Craig has also founded an e-commerce furniture business, Deal Decor, and worked as a consultant at the Boston Consulting Group. He has an engineering degree from Northwestern and an MBA from Wharton. For fun, Craig enjoys traveling and has spent a total of 5 years living overseas in three different countries.
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