We shared data analysis and visualization techniques with New York teachers as part of our partnership with CSNYC.
CB Insights is proud to be a founding partner of CSNYC, whose mission is to ensure that all of New York City’s 1.1 million public school students have access to a high-quality computer science education that will put them on a pathway to college and career success.
During last December’s CSEdWeek, we collaborated with CSNYC to host a data analysis & visualization workshop for New York math and computer science teachers at CB Insights’ offices in Midtown. We’re grateful to the CSNYC community team for organizing the event, and I wanted to share the great experience we had.
The goal of our workshop was a “train the trainer” model to help teachers equip their students with the tools needed to tackle ever-growing datasets in burgeoning analyst and data science fields. From initial conversations with the CSNYC organizers, I heard that beyond basic Excel skills and visualization techniques, our teacher audience was very interested in walking through the analysis thought process in the context of real-world business scenarios.
Our research team’s onboarding materials were a great foundation for the teacher presentation (as research analysts, we do this type of analysis every day with data from the CBI platform – if this sounds like the job for you, we’re hiring!). We walked through the general thought process of cleaning, sanity-checking, and transforming data for analysis, including a live analysis walkthrough with a sample dataset.
I also showcased some of our team’s favorite ways to visualize an analyzed dataset, using classic examples that will be familiar to regular blog and newsletter readers:
We knew that the teachers who signed up were excited for the session, but I was still amazed by how engaged our audience was throughout the presentation. They were curious about everything from specific Excel functions to ways to approach a certain analysis or business problem and how to convey engaging examples to students.
I was also surprised by the amount of positive feedback we received from the teachers after the session. For us, it was a great experience and reminder of perspective – like many research and data analysts around the world, working with and interpreting complex datasets has become a matter of habit. But many of us have also benefitted from great teachers and mentors, so the session was a great way for us to convey our real-world experience into relatable and practical examples to benefit both teachers and their students.
If this sounds like the kind of work you’d want to do, we’re hiring not just in research and content but also business development, product, marketing, and more.