Career Development
Free
Adobe Digital Academy, now available for marketers and creatives in the US, UK, and India.
Adobe Digital Academy, now available for marketers and creatives in the US, UK, and India.
Free
The Data Science Tech Interview Prep Essentials is our monthly alumni job seeker webinar series designed to offer impactful advice, approaches and practice that empowers you to feel prepared and confident to successfully complete the technical interview employers heavily rely on to assess an applicant's technical skills. These sessions are hands-on practice so participants should be prepared to roll up their sleeves and participate in the challenges and breakout groups delivered in these workshops. It's also an opportunity to meet and network with fellow GA alumni from all over the world.
The CS Team is proud to partner with our Instructor team to provide a well rounded experience and motivate grads with relevant content they can use to drive success. This global initiative emphasizes necessary technical skills and focuses on content that leads to getting jobs faster with an emphasis on driving results.
All sessions are FREE and will run via Zoom. Registered attendees will receive the webinar Zoom link, 1-hour prior to the session via email.
All sessions will be recorded and made available along with any materials and decks from the session.
This global initiative emphasizes the GA Outcomes experience and focuses on content and best practices to drive results so job seekers feel more confident in performing successfully in the technical interview. These are safe spaces and participants are encouraged to try their best and ask questions in an effort to understand the challenge and how best to approach arriving at a solution.
Lead Data Scientist and Data Engineer, General Assembly
Hank Butler is a Lead Instructor for GA’s Data Science Immersive Program. Before GA, Hank has worked in various industries including politics, quantitative finance, supply chain, and for a logistics start-up. Hank is passionate about using data to solve problems in various industries and enjoys showing others how to apply data science in their fields.
Some of his favorite Python libraries and tools include Pandas, NumPy, Scikit-Learn, StatsModels, and PyTorch.
Some of his favorite tools for Data Visualization include: Matplotlib, Seaborn, Folium, and GGplot2
Outside of teaching and data science, he loves watching sports, movies, reading, hiking, and going to the beach.
What His Students Say:
Hank clearly shows a great mastery of everything we've come in contact with thus far (and if he isn't positive about something, he isn't afraid to table it for later, which is a great trait in an instructor). He also makes our lessons fun, which (again) is very much welcomed considering the difficulty of some of the concepts we've encountered and the pace that we go. Also, maybe most importantly, Hank has shown that he does his absolute best to not leave anyone behind during the lessons. If anyone has a question or is confused, he is more than willing to stop and make sure everyone is comfortable. * -Student from September 2023*
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