Data Literacy for the Non Analyst (Part 1) and How to Become a Data Analyst - 9.4.20

Presenters - Kari Peterson, Institutional Research Analyst, Office of Planning & Analysis and Founder of the Cal Data Visualization Network - Elizabeth Davies, Data Analyst, Career Center - James Kao, Manager of Berkeley Executive Search, People & Culture - Shirley Giraldo, Talent Development Lead, People & Culture Session Description To make data-driven decisions, organizations need data literate people, but access to all the data in the world won't be useful until you feel comfortable using it. Becoming data literate means upskilling in both hard and soft skills. With so much out there to learn, where should you start? Join CAN and Cal Data Visualization Network in identifying the key concepts of data literacy, such as: - Quantitative thinking - Asking the right questions of your data - The basics of data types, structure, and storage - General graphicacy and data visualization - Communicating effectively with data In conversation with a panel of experts, we will also explore the pathway of a campus analyst, learn about the tools out there for independent upskilling, and find out what hiring managers are looking for in their analysts with a Recruiter from People & Culture. Whether you are looking to advance your career, or just want to boost your self-sufficiency in using self-service and embedded analytics, knowing the key concepts of data literacy will help you achieve your goals.

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