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Don’t wait for the perfect timing – just try it and see if this sparks interest in you!

If anyone knows how to balance education and family, that is definitely Maria Ronacher, our student at the Data Science Bootcamp. She serves as an excellent example that when you want something so badly, you will find time to do it, no matter what.

 

In this interview, Maria talks about her experience with the Data Science Bootcamp and how she balances learning and taking care of her kids.

 

Tell us a bit about yourself. What were you doing before you came to study at Brainster?

Since I am 37 years old now, I have done a lot of things. 🙂 After graduating from a Computer Science College, I worked in various positions in IT, ranging from requirements engineering, project and product management, to software engineering. 

I also had some basic practice in Data Science. But, since I got 3 kids in the last 6 years, I feel like my professional skills needed to be refreshed and boosted.

 

What is your typical day in Brainster’s Data Science Bootcamp?

I guess I am not a typical student because I have to combine the lectures with my small kids. From 6 up to 8 PM is the busiest time for me. 

Sometimes, I manage to hide from everyone and focus on the learning material. But, often, I have to take care of the kiddos, follow the lecture in the listen-only mode, and catch up with practice at night or the following day.

 

Since the Bootcamp is remote, how do you collaborate with your colleagues and instructors?

Slack solves all problems, basically. But we also have online sessions for Q&A if necessary.

 

From the first class of Data Science Bootcamp, I remember…

The smiling face of Maya. 🙂

 

Did you have any coding experience before applying to this Bootcamp?

Yes! I actually even worked as a developer from September 2019 until August 2020 (although some of this time was compromised by the Covid-19 pandemic).

 

Since you started learning, what has been the most challenging thing so far?

Honestly? Finding time and possibility to study. 🙂

 

What area in Data Science have you set out to master?

I’m not sure yet. They all are so tasty. We will see.

 

Any last bits of advice that you would give to potential students who want to break into Data Science in 2022?

Don’t wait too long. Just try it and see if this sparks interest in you. Thinking doesn’t help. Practice does!

 

The enrollment for the next Data Science Bootcamp is in progress! 

Make an appointment with our student success manager for more details about the program!

What do you want to be when you grow up?