Leadership in STEM Series: Being Conflict Competent

Virtual

Advance your career as an effective, inclusive leader in STEM through this four-part series brought to you by the New York Academy of Sciences with special guest speakers from Pfizer senior leadership. Effective leadership is a key skill for all STEM professionals, but it is often difficult to define and practice. It requires developing and honing a range of personalized skills beyond the technical knowledge acquired from pursuing a degree or working in a lab or school. Aligning these skills with an individual’s values and strengths empowers them to be a positive change agent in the world, uplifting people within and outside a single organization. This four-part series of bite-sized learning webinars are designed to build key skills as a change maker. Participants will have the opportunity to attend the webinars live or on demand. Registration required.

R Fundamentals: Part 4 of 4

Online via Zoom

This interactive workshop series is your complete introduction to programming in R for people with little or no previous programming experience. It covers the basics of using RStudio, creating variables, working with data frames, and starting to analyse your data using summary statistics and data visualization. After completing this workshop series you will be able to: Navigate R Studio Open data in R and work with it in data frames using tidyverse Distinguish between different variable types Visualize data using ggplot Inspect documentation to deal with error messages R Fundamentals has 4 parts. Each of the parts takes 2 hours, and is delivered in a lecture-style coding walk through interrupted by challenge problems and a break. Instructors and TAs are dedicated to engaging you in the classroom and answering questions in plain language. The workshop series is structured as follows: Part 1: Introduction to R and RStudio Part 2: Data frames and variable types Part 3: Manipulating data frames Part 4: Data visualizations and custom functions

Python Text Analysis Fundamentals: Part 1 of 2

Online via Zoom

This workshop is part of a loosely-coupled 4-part text analysis workshop series that will prepare participants to move forward with research that uses text analysis, with a special focus on social science applications. We explore fundamental approaches to applying computational methods to text in Python. We cover some of the major packages used in natural language processing, including scikit-learn, NLTK, spaCy, and Gensim. This two-part workshop series will prepare participants to move forward with research that uses text analysis, with a special focus on humanities and social science applications.

SKILL #3: How to Develop a Daily Writing Practice

Online via Zoom

Are you sick of working all the time without making progress on your writing projects? Are you tired of your deadline-driven, binge-and-bust writing routine? Do you wish you could develop a healthy, consistent, daily writing routine that would allow you to meet your department’s expectations for tenure and promotion? In this webinar you'll learn: The three biggest myths about writing that hobble new faculty productivity The surprising difference between struggling new faculty members and those who are designated as "rising stars" The 30-minute strategy that will increase your writing productivity AND decrease your stress, anxiety and guilt

Tax Webinars for Graduate Students and Post Docs

UCOP is sponsoring two tax webinars for graduate students hosted by Ernst and Young LLP. Webinar 1 March 14 at 12:00 p.m. for graduate students. Zoom link. Webinar 2 March 15 at 12:00 p.m. for post docs. Zoom link. No registration is required. These are free workshops, however limited to the first 300 attendees. 

Free

Python Deep Learning: Part 2 of 2

Online via Zoom

The goal of this workshop is to build intuition for deep learning by building, training, and testing models in Python. Rather than a theory-centered approach, we will evaluate deep learning models through empirical results. We start with a review of what deep learning is and then unpack what neural networks are and how they work. We then jump straight into Python, using the Keras library to build neural networks. We will explore how different architectures affect the performance of predicting handwritten digit images. Lastly, we explore a specific flavor of neural networks, the convolutional neural network. We review how it’s different from a standard vanilla neural network, and build different architectures to test how well they perform on the classification of animal and vehicle image classification.

Social Impact Jobs: Public Sector

Online via Zoom

Through this session you will have an introduction to alumni & professionals working in Social Impact roles in Nonprofit, Education, and Government industries. You will also learn strategies to reach out to folks working in these fields for further guidance on your career journey. 4:00-4:10pm - Welcome & Activity 4:10-4:40pm - Alumni & Professionals answer prepared questions 4:40-4:55pm - Q+A from Students 4:55-5:00pm - Wrap up & Contact info share