Ai+ Training

Session Title: Data Scientist, or the Most Dangerous Job of the 21st Century View Here: https://attendee.gotowebinar.com/register/2989267959610990352 Session Overview: “Data scientist” has been called the sexiest job of the 21st Century but it’s well on its way to becoming the most dangerous: the state of the art is a collection of siloed, ad hoc techniques developed to solve important and interesting challenges without a robust, principled approach. To paraphrase Michael I. Jordan, we are building dangerous, planetary-scale inference-and-decision making systems without a sufficiently stable engineering discipline, just as people built bridges and buildings, many of which fell before there was civil engineering. In this talk, we’ll delve into how we got where we are today, what types of large-scale systems we’re building in medicine, information technology, finance, transport and society at large, and paths forward.

Session Title: How to be a data science consultant View Here: https://attendee.gotowebinar.com/register/2937738247663712016 Session Overview: Do you thrive by helping people solve problems without being in the spotlight? Do you like to manage your own time and priorities? Can you accommodate some risk and income fluctuations? If so, consulting might be a rewarding career path for you. I'll share stories about my journey to data science consulting and offer advice for those that want to pursue independent consulting, now or in the future.

Session title: New Job, New Domain, Now What? Join Here:

Session Title: How to build a better resume! View Here: https://attendee.gotowebinar.com/register/7872937970378190608

Session Title: How to build business impact and value as a data scientist Overview: To be a good data scientist you have to have good data science skills. However, your impact and value as a data scientist comes from your ability that is non-technical. In this talk, I'll share Kaggle's data science team's story and lessons learned in my experience being a small (one-person) data science team.

Session Title: Ok...now what do I do?(How to navigate the Data Science field as a new employee) Session Overview: Changing jobs regardless of the title is usually never easy. You need to form new relationships, understand the new culture, get a grasp of your job role and the list goes on. I believe starting somewhere new is especially difficult within the ever-changing and always growing Data Science space, because expectations of your role can widely vary from company to company. As someone who has worked in several different industries, my goal for this talk is to give some key pointers that you can take with you anywhere to make the adjustment as seamless as possible.

Session Title: How to Lead Data Science Teams: The 3 D's of Data Science Leadership Session Overview: Despite a growing demand for data science managers and the unique difficulties of managing data science teams, few resources exist to support aspiring and practicing data science leaders. This talk presents a framework that defines data science management and outlines three areas of competence needed to succeed as a data science leader: diplomacy, diagnosis, and development.

Title: New Job, New Domain, Now What?

Session title and overview coming soon!