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Data Literacy Training & Enablement
Build confident, data-driven teams that turn insights into competitive advantage.
One-on-One Coaching
Brooklyn Data’s coaching delivers personalized training, hands-on feedback, and strategic guidance to help your team sharpen skills and make smarter decisions. Whether you’re upskilling or solving specific challenges, we accelerate your growth by elevating your data strategy.
Data Literacy Development
We empower your team to confidently analyze, visualize, and apply data to drive smarter decisions. Our customized training builds critical data analysis, storytelling, and interpretation skills — bridging gaps between technical teams and business users. We provide hands-on exercises and real-world examples, so your team can immediately apply what it learns, fostering a truly data-driven culture.
Analytics Community Building
Brooklyn Data promotes collaboration and knowledge-sharing within your team while connecting you to the broader data community. Through workshops, peer sessions, and events, we help your team exchange ideas, solve challenges, and stay ahead of industry trends — driving continuous growth and shared purpose.
Certification Preparation
Brooklyn Data prepares your team to earn industry-recognized certifications in tools like Snowflake, Databricks, dbt Labs, and leading cloud platforms. Our structured training blends lessons, hands-on labs, and practice exams to ensure practical mastery. These high-value credentials boost team capabilities and strengthen your competitive edge.
Tech & Cloud-Agnostic Training
We help prepare your data team to work effectively across AWS, Azure, and Google Cloud, ensuring flexibility in any environment. Our expert-led training covers essential tools like dbt Labs, Databricks, and Snowflake, giving your team the skills to design, deploy, and optimize data solutions regardless of platform.
Workshop & Labs
Brooklyn Data offers immersive, hands-on training that equips teams with practical skills in analytics tools and real-world use cases. Through interactive sessions, teams build expertise in areas like data modeling and pipeline optimization, applying what they learn immediately to improve data outcomes.