Workshop
Intro to Data Science
Organised by General Assembly
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 help@generalassemb.ly and our team will send sign in instructions right away.
Takeaways
- 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.
Preparation
- 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!
About the Instructor
Charis Loveland
AI Business Development Manager, Amazon Web Services
Charis Loveland works at AWS as a business development manager on the cloud intelligence team specializing in artificial intelligence and machine learning. She has a decade and a half of experience in product management, AI, data analytics, new product introduction, file and hardware storage, and software development. After launching a crowdsourcing platform for Azure ML at Microsoft, Charis founded Rue La La's data science team, creating and executing a roadmap and strategy for personalization and customer sub-segmentation. Charis co-founded an ML startup and has taught several business courses at General Assembly as well as online courses about data science at MIT, Dartmouth, and Columbia. Charis serves as a coding instructor, mentor, and advocate for early STEM education and volunteers for several nonprofits that help promote greater diversity in the technology industry.