Covid-19 has had a significant impact on all of us. Toma, our recent graduate, was determined to take advantage of the downtime during lockdown. Having recently graduated from university but struggling to find a graduate opportunity, she decided to use the lockdown period to brush up on her Data skills to help her secure an engineering role in the future.

After 7 weeks of Data training, Toma shares her experience of our Women in Data Academy.

What were you doing before you started our Women in Data Academy?

Before I joined the Women in Data Academy, I had recently graduated and was trying to find a job. However, due to Covid-19 there were not many opportunities for graduates.

Why did you decide to join?

I had previously interviewed for an engineering role, however, they wanted people to know Python and have an interest in machine learning. I decided to use lockdown as an opportunity to learn these skills and prepare for future opportunities.

How did the training help you?

The training provided reinforced my knowledge of Python with new libraries. It also helped me learn other scripting and programming languages including R and SQL. In addition to the training, the Women in Data Academy gave me the opportunity to take part in a workshop organised by Malvern Panalytical which gave me further insight into a career as a Data Scientist.

What module did you enjoy the most?

In all honesty, I enjoyed all of it. At times it was really challenging but I’m proud of the different elements I’ve learned in a very short space of time. I also proved to myself that I am capable of learning complex concepts and solving difficult problems.

What are your plans for the future?

I am currently focusing on learning visual programming and a specific package for a role. In the future I plan to look further into computational thinking, machine learning and the concepts of parametric and generative design. I am excited to learn about how to improve the efficiency of work and reduce the potential of human errors in vital decisions.

Do you have any tips or advice for people who want to learn code?

Expand your network of like minded people through platforms such as LinkedIn, Stack Overflow, GitHub etc and keep trying. Resilience is the key.

 

Technology is an ever-changing landscape so it’s important to ensure that your skills remain up to date and relevant to industry requirements. Our Women in Data Academy is designed based on real-world requirements to help you find a role after completing the course. Whether you’re looking for your first role or seeking a career change, our Women in Data Academy provides you with an accelerated learning pathway to a career in Data Science. Visit our website to find out more information or to register your interest.