When asking yourself about something to do near me in New York with a group of friends or family, consider
NYC Data Science Academy
Why NYC Data Science Academy is a fun option when searching for things to do near me with friends and family
NYC Data Science Academy, founded in 2013 and located in the heart of New York City just half a mile from Penn Station, stands out as a premier institution offering accredited data science and data analytics bootcamps. This academy is an ideal gathering place for professionals and aspiring data scientists looking to build cutting-edge skills in a collaborative, immersive environment. Courses available both in-person and online cater to varying schedules with options such as 12-week full-time and part-time programs. The curriculum covers essential, in-demand topics such as Python, R, machine learning, big data with tools like Hadoop and Spark, and popular Python and R data science libraries including Scikit-learn, Pandas, XgBoost, Caret, and Ggplot2. Beyond technical expertise, students engage in multiple real-world individual and group projects, providing practical experience and portfolio pieces to present to prospective employers. Students benefit from a strong community culture, continuous mentorship, and a wide-reaching alumni network that offers lifetime career support including tech interview preparation, resume guidance, and job placement assistance. These features make NYC Data Science Academy a highly reputable and versatile destination for meeting peers, honing market-relevant data science skills, and advancing professional data careers.
Here's what people think of NYC Data Science Academy
As of recent, NYC Data Science Academy holds a 4.9-star rating based on 192 reviews.
User reviews consistently highlight the academy's professional and knowledgeable instructors who deliver a well-structured curriculum that balances foundational theory with practical implementation. Positive feedback emphasizes the high-quality study materials, immersive learning environment, and the capstone projects that effectively prepare students for real industry challenges. Many reviewers recommend the program for its responsible leadership and up-to-date content in data science standards. Alumni particularly appreciate the comprehensive coverage of both Python and R programming languages and the multiple specialization tracks such as machine learning, data engineering, and deep learning available after the core bootcamp experience. However, some critiques point to potential improvements in staff support during certain teaching segments and a desire for enhanced instructional refinement. Despite minor suggestions for better staff engagement, the overwhelming majority of reviews rate NYC Data Science Academy highly, reflecting satisfaction with education quality, career services, and the immersive project-oriented approach. In conclusion, the academy is broadly seen as a worthwhile investment for those aiming to transition into data science, supported by both an accredited curriculum and robust career-focused support networks.
Highlights from reviewers (Most Relevant)
h ou
I decided to join the Data Science with Machine Learning In-Person track at the NYC Data Science Academy because I knew it would help me break into the New York job market. The bootcamp’s strong connections in the city were a major draw, and knowing that it’s accredited by the New York State Department of Education gave me added confidence. After comparing it to other bootcamps, the quality of the project portfolio stood out to me. The projects we worked on were not only challenging but also helped me stand out to potential hiring managers. What really made a difference for me during the bootcamp was the support from the instructors and TAs. They are incredibly knowledgeable and always available to help, which made a huge difference in my learning experience. The peers in the program were mostly people with Master’s degrees, which created a highly motivated and intellectual environment. The course itself is intense, with a lot of material to cover, but the hands-on projects made it worthwhile. We spent a lot of time working on real-world projects, and the support from TAs and professors was exceptional throughout the process. During the bootcamp, I learned Python, SQL, R, and machine learning techniques that gave me the practical skills I needed to break into the field. However, I do want to point out that the bootcamp doesn't focus on algorithms or data structures, which might be useful for those who want to dive deeper into that area. But for anyone looking to become a data scientist and get their foot in the door, this program is perfect. The career support was one of the most valuable aspects of the bootcamp. They helped me build my resume, gave me job referrals, and even after I graduated, Vivian continued to use her network to help alumni like me. One of the best things about the bootcamp is the network of peers you build. I made so many great connections during the program, and many of my classmates are now data scientists in top companies. Those connections have been invaluable in my career journey. Before joining the bootcamp, I was an industrial engineer, but after completing the program, I landed a data scientist role. I’m currently an Analytics Manager at a Fortune 500 company. The alumni network and ongoing career support were crucial in helping me land my role. As a hiring manager now, I’ve found that it’s so easy to connect with the bootcamp to find talented candidates. The students are incredibly smart, and I’ve hired a top performer from the program who has exceeded expectations. Overall, the NYC Data Science Academy helped me make a seamless transition into the data science field, and I highly recommend the In-Person Data Science with Machine Learning track to anyone looking to jumpstart their career in this field.
Matthew
Rewarding Experience, Comprehensive Curriculum, Great People Attending NYCDSA was an incredible experience that allowed me to pivot my career from traditional finance into Data Science and land me a great job with a well-improved salary soon after graduation. I chose it over other bootcamps in NYC because it taught both R and Python, had a strong alumni network, and had a collaborate and family-like environment that made every day enjoyable. Be prepared to work very hard and learn a lot in a short amount of time. The curriculum is intense, covers all major areas of data science and teaches you the most up-to-date tools in data analysis, stats, coding and machine learning. I knew only basic SQL and stats before this so it was very challenging for me to learn more advanced stats, Python, R and machine learning in just 3 months. That being said, I typically stayed at the bootcamp 10 hours a day and often 12-14 hours during projects, which helped me learn faster. The TA’s and instructors were always available to provide assistance which aided in the learning process as well. Because I spent so much time at the bootcamp around like-minded individuals, I became good friends with many people in my cohort, many of which I still keep in touch with post-graduation. Collaborating on group projects, helping each other with homework, happy hours, and late nights made the experience a lot of fun and made the learning easier. Overall, you get what you put into it. Even as one of the least experienced in my cohort, I was able to keep up and become proficient in coding R, Python, SQL, and build a strong portfolio with practical experience in machine learning by putting in the time. The job assistance prepared me as well as it could have and helped tremendously in getting me more interviews, and performing to the best of my ability during interview behavioral questions, whiteboarding and case studies. I highly recommend this program to anyone looking to get into data science or improve their data science skills.
Elsa And Ben Young Amores
My journey with NYC Data Science Academy began in 2018 when I enrolled in their Data Science and Machine Learning bootcamp. As a Biology PhD looking to transition into Data Science, this bootcamp became a pivotal moment in my career. Within two months of completing the program, I received offers from two different groups at JPMorgan Chase. Over the next five years, I was promoted to Vice President and Data Scientist Lead, where I developed personalized financial insights that were integrated into the Chase mobile app. Recently, I relocated to Europe for personal reasons and took some time off, only to find myself facing the ever-evolving tech job market. It quickly became clear that the landscape had shifted significantly towards generative AI. After researching multiple options, I returned to NYCDSA and enrolled in their "AI Bootcamp for Real World Applications." This program provided the deeper technical training in state-of-the-art AI, particularly in Large Language Models (LLMs), that I needed to reenter the workforce. For my capstone project, I developed an advanced hotel recommender system using semantic search, Retrieval-Augmented Generation (RAG), and LLMs, hosted entirely on AWS. Additionally, I published blog posts on the project and my AI insights, which helped demonstrate my expertise to potential employers. What sets NYCDSA apart from other institutions is the depth of their technical curriculum and hands-on approach. While many programs lean more towards business concepts and inspiration, NYCDSA strikes the perfect balance between theory and practical application, particularly in design and implementation. Cole, the lead instructor for the AI Bootcamp, was instrumental in my success, breaking down complex AI concepts in an accessible and engaging way. Thanks to this bootcamp, I re-entered the job market with confidence and cutting-edge AI skills. Two months after completing the program, I received offers from two different companies. I highly recommend NYC Data Science Academy, especially their AI Bootcamp, to anyone looking to advance their career in Data Science and AI.
Danny W
If you're looking for a fast-track to becoming a competitive data scientist, NYC Data Science Academy is the place to be. Their 12-week data science bootcamp offers a well-rounded curriculum taught in a systematic and intensive manner, covering everything from Python and R to statistics and machine learning. The program is designed to equip students with real-world data science skills that will enable them to make a huge impact in any company they work for. I had the opportunity to work on industry-level data challenges, which allowed me to build my portfolio and enhance my job readiness. What sets NYC Data Science Academy apart from other data science programs is their networking opportunities, which allow students to meet with top-company recruiters and hiring managers.. In short, NYC Data Science Academy is worth every penny. Their program is selective, with most students holding advanced degrees before the camp, making for a strong and talented team that will support you throughout your data science journey. The professionalism, diligence, and confidence of the instructors in empowering students to become top data scientists in the job market are truly remarkable.
Diana happywise
I recently completed the part-time Data Science Bootcamp offered by New York City Data Science Academy, and I must say it was an exceptional experience. Before enrolling, I conducted extensive online research and compared it with other data science boot camps, and I am confident that I made the right choice. The boot camp provided a comprehensive curriculum that covered all the essential aspects of data science. Over the course of 6 months, I gained hands-on experience with Python, R, SQL, and machine learning techniques. The instructors were knowledgeable and experienced, guiding us through beginner and intermediate levels of data science concepts and tools. One of the highlights of the boot camp was the emphasis on real-world projects. Alongside the intensive lectures, we worked on multiple projects that allowed us to apply our knowledge and develop practical skills. These projects were showcased to employers through various channels, including on-campus hiring partner events, student blogs, meetups, and presentations. This exposure helped me gain confidence in my abilities and showcase my work to potential employers. In addition to the excellent educational experience, the academy also provided great post-graduation support. The career assistance offered mock coding challenges, resume and LinkedIn profile reviews, and one-on-one interview reviews. Moreover, they organized hiring and networking events and provided access to a vast alumni network and industry connections. These resources greatly facilitated my transition into the data science industry. Overall, I highly recommend the Data Science Bootcamp by New York City Data Science Academy to anyone looking to jumpstart their career in data science. The comprehensive curriculum, hands-on experience, and strong post-graduation support make it an exceptional choice among data science boot camps. My personal success in securing a job as a Data Scientist is a testament to the quality and effectiveness of this program.
How to reach NYC Data Science Academy
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Why NYC Data Science Academy may become Your Favorite Meetup Place for Catching Up, Celebrating or Just Hanging Out
Why rally at NYC Data Science Academy with your friends?
Gathering your friends at the NYC Data Science Academy is an exceptional choice for anyone looking to combine learning with meaningful social engagement. This place stands out not just as a top-ranked educational institution in data science, but also as a vibrant community hub where collaboration and networking thrive. With a near-perfect rating of 4.9 from almost 200 reviews, it attracts individuals passionate about transforming their skills in data science through immersive, project-driven learning. When you rally here with friends—whether you’re colleagues, classmates, or family members interested in technology—you tap into an atmosphere buzzing with intellectual energy and peer support. The academy’s carefully designed curriculum fosters teamwork and problem-solving, offering a shared experience that deepens friendships while advancing professional skills. The mix of small class sizes, personalized mentorship, and lifetime career support ensures that groups not only learn effectively together but also pave pathways for future success. Hosting a meetup here means you’re investing time with your friends in a setting where growth and innovation meet, making it a memorable and productive gathering spot.
What activities can you do at NYC Data Science Academy?
The NYC Data Science Academy offers a rich variety of activities centered around learning and professional development, making it an ideal venue for group meetups focused on shared goals. The core activity is the immersive 12-week bootcamp where participants dive deep into data science disciplines such as Python and R programming, machine learning, big data tools like Hadoop and Spark, as well as statistical analysis and visualization with packages like Pandas, Scikit-learn, and Ggplot2. This curriculum is designed for hands-on learning, encouraging students to work on real-world datasets to build a portfolio of projects. Working with friends on these projects fosters teamwork and collaborative problem-solving—skills that are vital in the data science industry.
Beyond the bootcamp, the academy hosts various supplemental events such as hackathons, guest lectures, and data science meetups where groups can engage in stimulating discussions, network with industry experts, and share insights. The environment is supportive and competitive, ideal for friends who thrive in a challenging yet encouraging space. Their dedicated career support includes mock interviews, interview prep sessions, and 1-on-1 mentorship, all of which can be experienced collectively by a group, enhancing camaraderie as participants encourage and learn from each other. These activities make NYC Data Science Academy a dynamic place where learning is social, practical, and career-oriented.
Why is NYC Data Science Academy perfect for a group meetup?
NYC Data Science Academy’s blend of strong community culture and comprehensive learning makes it perfect for group meetups. One of its standout features is the academy’s intimate class sizes, which create a collaborative environment conducive to peer interaction and team projects. Groups can benefit from learning alongside one another and forming study teams that extend beyond the physical classroom or online sessions. The academy places a strong emphasis on industry-relevant projects, enabling groups to not just learn theory but also apply knowledge practically. This hands-on approach forges deeper connections between participants as they solve problems together and build portfolios that can impress employers.
Additionally, the academy fosters a sense of lifelong community. Graduates have access to indefinite career support, including ongoing mentorship and alumni networking events, which means your meetup can evolve into a sustained support network. The academy’s location in New York City is another plus, placing it at the heart of a vibrant tech hub that complements the learning with opportunities for fresh inspiration and after-lesson socializing. Whether your group is exploring data science as a hobby, looking to expand career options, or aiming for a professional transition, NYC Data Science Academy offers the perfect setting for shared discovery in a high-energy, engaging, and supportive atmosphere.
What makes the learning experience at NYC Data Science Academy unique?
The learning experience at NYC Data Science Academy is distinguished by its immersive, intensive format paired with a pragmatic, industry-tailored curriculum. Unlike passive lecture-based programs, this academy emphasizes experiential learning where students engage deeply with data science tools and concepts through numerous projects. These projects are drawn from real industry data, offering exposure to challenges and workflows you will encounter as a data scientist. The 12-week duration strikes a balance between depth and intensity, pushing learners to build proficiency quickly while providing structured support.
The instructors and teaching assistants are industry professionals highly knowledgeable in their fields, and they provide personalized guidance throughout the course. Students benefit from a blend of theoretical underpinnings and practical coding exercises with Python and R, and receive comprehensive coverage of machine learning techniques, big data frameworks, natural language processing, and visualization skills. The program also incorporates career development workshops including resume building and interview preparation, which set students up for success beyond graduation. This seamless integration of rigorous technical training and career support creates a unique pipeline to employment in a competitive job market.
How does NYC Data Science Academy support career development?
Career development is a cornerstone of NYC Data Science Academy’s offerings, making it attractive not only as a place to learn but also as a strategic platform for career advancement. The academy boasts a high job placement rate, with over 90% of graduates securing relevant positions within months of completing the program. This success is driven by comprehensive career services integrated throughout the learning journey. For starters, the curriculum includes projects that build a strong portfolio, a valuable asset when applying for jobs.
Students engage in mock interviews, coding exercises, and technical interview preparation sessions designed to boost confidence and readiness for real-world hiring processes. Career mentors provide 1-on-1 feedback and personalized coaching to help students sharpen their resumes, LinkedIn profiles, and interview techniques. Furthermore, the academy maintains strong ties with hiring partners and organizes recruiter events where students can showcase their work directly. The lifetime access to mentorship and networking opportunities means support continues well after the course concludes, offering groups the chance to build a network together and face the job market with collective strength. This makes NYC Data Science Academy not only a place to learn but a strategic launchpad for your future career in data science.
What facilities and resources support group learning at NYC Data Science Academy?
NYC Data Science Academy provides an inviting learning environment equipped with modern amenities that naturally support group interaction and collaboration. The physical campuses feature classrooms optimized for teamwork, with flexible seating arrangements and high-speed internet to facilitate realtime collaboration on coding and projects. For remote learners or hybrid groups, the academy uses robust online platforms that include live lectures, discussion boards, and Slack channels where groups can convene easily regardless of location. This blended approach ensures all groups have access to dynamic educational tools and peer-to-peer interaction.
The academy also provides access to extensive data science software, coding environments, and cloud computing resources vital for working on large datasets and applying machine learning algorithms. These tools are essential for enhancing the practical learning experience and enable groups to experiment with real-world technologies. Additionally, students can tap into a library of well-organized lecture notes, video tutorials, and curated reading materials, making self-study and review efficient. These comprehensive resources make group study more productive and create a space where participants can self-organize learning sessions and maximize their collective growth.
How does NYC Data Science Academy foster a community atmosphere?
Community is at the heart of the NYC Data Science Academy experience, which is why it’s an excellent place to bring friends and enjoy learning together. The academy cultivates a supportive culture through its engaging cohort model where students start and progress through the course as a tight-knit group. This often sparks friendships that last beyond the program. Regular social events, hackathons, meetups, and alumni gatherings organized by the academy encourage networking and camaraderie among current students and graduates alike.
Students and alumni often collaborate on open-source projects, contribute to data science blogs, and participate in talks or panels, enriching the community experience. The academy’s inclusive, motivated environment encourages sharing knowledge and helping one another, turning learning into a collective journey. The accessibility of instructors and TAs for personalized help further strengthens this atmosphere. Such a community-driven approach not only supports academic success but also builds personal connections that add meaningful value to every meetup held at NYC Data Science Academy.
What additional benefits can groups expect when meeting at NYC Data Science Academy?
Beyond education and networking, groups meeting at NYC Data Science Academy enjoy several added benefits that enhance the overall experience. Being in a high-profile data science institution provides a prestigious backdrop that can motivate and impress participants. The academy’s location in NYC means groups can easily combine meetups with exploration of the city’s rich cultural and culinary offerings, making any gathering a holistic experience.
The structure of the bootcamp encourages accountability and productivity, so meetings here often yield tangible progress whether in personal projects, skill-building, or career planning. Access to expert guidance and career services as a group can empower participants to pursue data science opportunities they might not tackle alone. Finally, the strong alumni network and ties to industry create possibilities for collaboration on startups or research endeavors initiated during group meetups at the academy. These comprehensive advantages position NYC Data Science Academy as much more than a classroom — it’s a launching pad for friendships, careers, and lifelong learning experiences.