Data-led Academy aims to be a place for anybody, irrespective of their technical know-how, to learn how to work with data. We believe that everybody should feel comfortable talking about data and should be empowered to make data-led decisions.
Our mission is to foster data literacy and impact 1 Million lives over the next 5 years. You might say, “that’s audacious”, to which I’d say “from hereon, being audacious is the only way to go”.
Our goal is to democratize access to knowledge about data and enabling knowledge workers to do better, high-impact, fulfilling work!
Also, we hope to contribute to a much-needed cultural shift where those who don’t identify themselves as scientists or analysts can still use the term “data” in their designations! Besides Data Scientists, Data Engineers, and Data Analysts, the world also needs Data Specialists, Data Consultants, Data Managers, or Heads of Data Operations.
Read on to know how this project came to be! 👇
Hey! I’m Arpit 👋
I am not an engineer and I love data and APIs.
And here’s the story behind Data-led Academy:
A couple of years ago, I did not know what a tracking plan was. However, over the years, I have worked extensively on product development, helped design databases, ran queries, written JSON, integrated APIs (without code), dabbled with product analytics tools, moved data between tools, and used a ton of other tools that require working with data.
That said, I never really had the opportunity to apply what I knew in an environment where a ton of data is generated on a daily basis. That changed when I joined a growing SaaS company in the integration space as the first growth hire. By then, I knew how to work with complex tools, had a good understanding of data in general, and really enjoyed reading API docs — weird I know!
After I started talking to people who were in the same boat as I was five years ago, I realized that there is a real unfulfilled need — technically inclined professionals from non-tech functions wanted to learn how to work with data, without spending a ton of resources or learning data science as we know it (thousands of dollars and hundreds of hours).
More importantly, growth, marketing, customer success, sales, and partnership professionals usually like what they do, and barring a few, most don’t wish to pivot their careers to data science. They just wish to learn whatever they need to about data to excel in their existing roles. Not too much to ask for I’d say!
I felt compelled. I have been in the same shoes and have acquired requisite knowledge about data over the years and have helped a few others do the same.
Today, I often find myself working on a tracking plan or executing data transformations in my sleep. When I used to wake up only to realize that I was dreaming, I knew I had to take everything I had in my head and put it all down on paper (not quite literally though).
And in the process, I ended up creating Data-led Academy.
Onwards and upwards! 🙌
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