Beginner's Introduction to Data Wrangling with Python

This free, 4-evening course is a gentle four-part introduction to data wrangling with Python. It is intended to introduce professionals working with data to critical methods and techniques in data wrangling.
Kayalvizhi Thirumavalavan, a senior data scientist at SupportVectors, will be the main instructor.
DATES: Monday thru Thursday, @ 7 PM PST.
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At SupportVectors AI Lab, we are a vibrant and collaborative community of applied AI professionals, researchers, and enthusiasts dedicated to advancing knowledge and fostering innovation through collective learning. We offer free courses and coding labs. Also, every Wednesday at 7 PM PST, we come together for an engaging AI Research Paper Reading Seminar, offering a unique space to grow, share, and connect.
Our sessions are designed for engineers and data scientists eager to deepen their understanding of cutting-edge AI topics. Each week, one of our members delivers an in-depth presentation of a carefully selected AI research paper, breaking down complex concepts to make them accessible to everyone. We follow this with an open discussion where participants can exchange ideas, explore applications, and build connections in a cooperative and supportive environment.
In addition to member-led presentations, we frequently invite industry leaders and experts to speak on relevant AI topics, providing invaluable insights and inspiration from some of the field’s most accomplished practitioners.
You can join us in person at our Fremont, CA lab, conveniently located near Tesla and accessible via road and BART, or participate virtually via Zoom. In-person attendees enjoy complimentary snacks, beverages, and the opportunity to engage in face-to-face networking during post-session discussions.
How to Join:

• To attend virtually, please RSVP to receive the secure Zoom registration link. (We've implemented enhanced security measures to ensure a smooth experience.)
• For in-person attendance, simply RSVP and join us for an evening of collaborative learning and discussion.

Become part of a thriving AI community where collective curiosity and expertise fuel innovation. We look forward to learning with you!