I recently graduated from the NYC Data Science Academy online part time bootcamp program and can attest to a very positive experience with Vivian and team. In case helpful for future students considering this bootcamp program, here is a breakdown of different considerations concerning my experience at NYCDSA: 1. Why I picked NYCDSA NYCDSA appeared to be the only bootcamp program that taught both Python and R at the time I was considering enrolling in a data science bootcamp program, which I expected would provide the best optionality in terms of choosing a data science framework both best fit for me and best fit for the industry I would want to integrate both graduation, as the public sector / academia generally lean towards R while private sector and tech industry broadly generally lean towards Python. The NYCDSA curriculum further appeared well structured and paced for someone in my position just learning how to code and getting a first exposure to data science concepts. 2. Overall Experience Vivian & team create an incredible learning environment with in-depth & concise lectures providing detailed overviews of multiple essential data science frameworks such as Python, R, SQL, Docker, AWS, Hadoop and Spark. The team further goes above and beyond for students during the job placement process, such as for instance making themselves available to answer student questions on personal projects and case studies, promoting student projects to recruiters and alumni on their LinkedIn page or providing students with opportunities to present projects to recruiters and alumni. The mentor meeting credit system connecting students to alumni in 1-on-1 30min or 1-hour sessions is especially well designed for students just getting started in data science and provides good opportunities to ask questions and review any material with an industry professional. Overall the lectures are well-taught and provide concise overviews of the analytical frameworks and knowledge necessary to perform in a professional data science environment, while the hands-on labs and projects do a great job of providing students the opportunity to practice learned coding skills. 3. Skills learned The bootcamp does a great job of providing ample opportunities to practice coding skills through projects and labs and I was able to develop strong proficiency in Python, SQL, R and Docker through these various projects, coming from a mostly non-coding undergraduate background, which I was able to apply directly after graduating working as an intern with a tech startup and finally in a full-time data scientist capacity at a large financial services firm. 4. Post-graduation plans I received a data scientist job offer at a large financial services company three months after graduating from the bootcamp after initially working as an intern at a data science startup and could not be happier with the outcome. Vivian and team are truly special and I could not be more thankful for an amazing experience over the course of the past few months. | 