NOTE: Please register for this course via the link below. Thank you!
Our 1-hour sample class is a great way to preview what the Live Online experience is like, as well as have a Q&A with the instructor of the course.
Mollie Pettit, instructor of the Data Visualization with D3.js course, will cover the following topics in the sample class:
Beginner-friendly explanation of D3.js
When to use (and when not to use) D3
A look at some super cool D3 examples
Followed by Q&A
About the Instructor
Mollie Petit wears many technical hats including that of a data scientist, a data visualization engineer, and an instructor of both fields. In her career, Mollie has worked on projects involving a wide variety of problems including but not limited to interactive data visualizations, exploratory data analysis, machine learning, corporate data tool creation, course development, instruction, and ideation. Mollie previously worked with Datascope Analytics and is currently working part-time as a Metis data visualization and data science instructor and part-time on freelance and side-projects (including a project with ACLU-IL). Before transitioning towards data science, Mollie worked as a petrophysicist in Abu Dhabi and as a scientific researcher at Stanford University. Mollie has BS degrees in mathematics and geology from WVU and a MS in geology from Stanford University. When Mollie is not being a technical nerd, she swing dances as much as possible, listens to educational podcasts, and strives to be all-around fabulous.
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
Join our Metis Community Slack channel! Apply here: https://bit.ly/metis-community-slack
Metis Code of Conduct
Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).
We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.
If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.