Intro to Data Science | FREE Online Livestream | September 14

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 help@generalassemb.ly 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.

Pick up where this workshop leaves off. Enhance your professional skill set in our part-time Data Science course, or go for a career transformation by enrolling in our Data Science Immersive.

• This class is taken completely online, and requires a computer and a strong internet connection.
• We will provide a link to the platform on the day of the class. NOTE: Some domains block our automated emails, so If you don’t receive sign-in instructions within 1 hour of the livestream, please reach out to help@generalassemb.ly and we’ll send sign-in instructions right away!

Travis Huang is a data scientist and former investment analyst with expertise in financial forecasting, user acquisition (UA) modeling, and machine learning. Born and raised in sunny Southern California, he spent 3 years as a business analyst at a solar energy firm before becoming the manager of analytics at an energy and commodities-focused private equity fund. In his current role as a Data Scientist at AlgoLIFT, he is responsible for the development and maintenance of the UA portfolio optimization product. He holds a BS in Finance and Entrepreneurship from the USC Marshall School of Business and a MS in Business Analytics at the UCLA Anderson School of Management. In his free time he enjoys aerial photography, fostering dogs, and practicing the violin.