Our Women in Data Academy is designed with real industry requirements in mind and covers a variety of skills, including Python, NumPy, Pandas, Machine Learning, R Studio & Big Data (SQL). These skills ensure our students have a full understanding of what is needed to build a successful career as a Data Scientist and can demonstrate this to their future employers.
Emma graduated from our Women in Data Academy in November, and as she prepares for her final few months in uni before starting her new role, she shares her story and advice for other women who want to follow in her footsteps.
What were you doing before you started the course?
Before I started the Women in Data Academy, I was (and currently am) an undergraduate student at the University of Birmingham, studying Engineering and working part-time as a waitress.
Why did you decide to join?
I decided to join the course because my Engineering degree doesn’t cover much coding and I know that it is a really vital skill for engineers to have. I also like to have various things to keep me busy and to help me develop new skills and gain extra qualifications where I can.
What did you think of the training? How did it help you?
I loved the Women in Data Academy! It was nice to see the same people every week, learn a new skill and then be given the opportunity to practice the skills with a set home learning task – without the tasks I don’t think I’d have practiced and wouldn’t have remembered anything from the course.
By taking part in the Women in Data Academy, I’ve not only developed lots of helpful new data manipulation techniques that I’m applying to my dissertation, but the training also helped me land a graduate role! Being able to demonstrate that I was able to study alongside my full-time degree proved to my new employer that I would be able to study for the Actuarial exams alongside a full-time role advising global companies on their risk management strategies.
What module did you enjoy the most?
I definitely enjoyed learning R programming the most, it was very intuitive and made it easy to create meaningful graphs.
What are your plans for the future?
I start a full-time graduate role in September and will be studying alongside it for the next 5 years. After that, I hope to be able to continue and grow in my responsibilities as an Actuary, so that I can continue to use my maths knowledge.
Do you have any tips/advice for people who want to learn code?
You HAVE to practice. It is very easy to learn about coding, but until you have done it, you won’t understand where common mistakes are made and how to fix them! Having meaningful practice projects is the best way to do this.