In2Academy

‘Every curious and inquisitive brain can learn data’

The only way to learn about data, engineering, analysis, visualization and implementation is doing it! And that's exactly what we practice in our In2Academy courses. Twice a year, we

put together a pool of ambitious people who want to work with data. From students to professionals. During a two-week bootcamp, they take courses in the most diverse disciplines around data and join sessions with various guest speakers for a deep dive into their data specialties.

Are you that ambitious brain? Are you intrinsically motivated and ready for a swift personal growth curve with lots of responsibility? Then joining the In2Academy is your new challenge. Let’s get in touch! We'd love to meet you.


Start your journey

How do I qualify to participate in the In2Academy?

  • You’ve completed the selection process for a Master Thesis Analytical Data Science, Applied Data, Econometrics or Computational Science;
  • You finished a selection procedure for an internship Business & IT or Software engineering;
  • You’re an employee at one of our partners and clients and you’d like to become more self-sufficient among data;
  • You’re a working student and qualified to expand your talent by a zero-hours contract;
  • You’ve graduated in a Masters Degree and you want to pivot to a data specialization.


- Floris, Jr. Scientist, former trainee

‘I finally had that feeling of really learning stuff. And it’s

awesome to immediately put those new data skills into

practice'’

The In2Acadamy is basically a data pressure cooker (*chuckles). From the very first course, you get submerged in the newest techniques, tools and disciplines around data. Cool thing is: you can immediately put them into action. Honestly, it’s two weeks of intense dabbling, brainstorming, trial and error. But it felt awesomely good. I was literally learning something. Afterwards, I got the chance to develop my new skills as trainee at In2Intel, which is awesome, because every day I get the taste of all the elements within the data spectrum.

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