There’s a lot of options for learning how to work with data, and we think a lot of them are great.

In fact, Serge and I have led classes and/or been students at some, interviewed at others, helped kickstart a university analytics program, and will hands down continue to recommend and extract resources from them all.

Yet, we still see space in the market, and more importantly a chance to impact the next generation of data practitioners.

Specifically, we believe there’s an opportunity to:

    • Perfect the learning roadmap
    • Focus on analytic fundamentals
    • Dig deep into nuance
    • Unearth courses for non-tech industries
    • Share context and real world examples
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Perfect the learning roadmap
It’s incredibly difficult yet crucially important to simply know where to start in learning analytics. It feels safe to assume this is the case for most things: learning to play the piano, cook, train for a marathon, photography, and the list goes on. This won’t happen overnight, but we’re on a mission to build perfectly packaged curriculum for anyone looking to understand, analyze and communicate insights from data.

Focus on analytic fundamentals
It’s never a good feeling to successfully finish a complex task, but not fully understand what the task is for. For instance, becoming an advanced user of Excel or being able to write complicated SQL queries is great, but it’s not so great when one can’t explain how the query actually works. We see this quite often, and sometimes are victims ourselves. There’s an opportunity for us all to embrace our inner tortoise, slow down and own the fundamentals.

Dig deep into nuance
Analytics is a game of details. There’s typically more than one way to approach an analysis, generate a statistic, make a mistake, communicate an insight and more. It’s hard to dig deep, but we know it matters and think there’s an opportunity to uncover as much as possible.

Unearth courses for non-tech industries
We love technology, but analytics is everywhere. Restaurant managers, sales representatives, small business owners, and the list goes on. Most professions revolve around a tremendous amount of data and we see an opportunity to help supplement the understanding of its application.

Share context and real world examples
Learning should be an exploration. All of our favorite college courses as students, and post-college courses as teachers were heavily embedded with case studies and daily-use examples. We see an opportunity to double down on this approach in everything we create.

There’s definitely more that comes to mind, but these five items stand out the most. Stay tuned for more!

‍– Serge and Colby