How I Came Across Data School

You may have read several blogs about how applicants get into the Data School program; perhaps mine would inspire future data schoolers. I learned about them whilst job searching online after I graduated from uni. Their job advertisements are everywhere so it is really hard to miss. When I learnt how they screen applicants, it intrigued me to apply and join their training program.

How are Applicants Screened?

Data School considers your Tableau skills and way of telling your data’s story. You will go through two interviews; each consists of dashboard building and data storytelling. They will hire you if they see you fit or see that you have potential in becoming a data consultant or analyst. Unlike other companies, your chances of getting hired is how well you respond to their questions based in real-life business situations, at least from my experience.

My approach to learning Tableau

Tableau was unfamiliar to me, so I had to learn it first before I submitted my application. Googling and watching Youtube videos and shadowing Tableau trainers helped me learn some of the software functionalities in just a few weeks. Going through Tableau Public and taking inspirations from uploaded the dashboards allowed me to discover charts for my application. As for my datasets, I used fairly clean and small datasets from Kaggle and reverse engineered  the charts from Tableau Public.

Tips to pass the interviews

What the interviewers want are insights. You may have analysed the dataset, built fancy graphs and then put them together in a beautiful dashboard, but without insights and proper data storytelling, it would be merely a bland data dashboard.

  1. It would help if you try to relate an insight to another or build connections and focus on the trends.
  2. Choose the right dataset; it is crucial and could help you pass the first interview if you have a decent dataset. Ideally, the dataset should have a decent number of columns and rows to generate insights as much as possible. As for the second interview, they will provide you a big dataset, but you do not need to use all of the columns, you only need to choose the fields that need to create a story.
  3.  Rehearse your presentation. The first feedback I received was an implication that I did not rehearse well so do your best in rehearsing yours.

 

Jimrey Benos
Author: Jimrey Benos

Jimrey worked as a finance officer in the Philippines before he came to Australia in 2019 to continue his studies. He has a background in Business Administration and Information Systems. He researched how organisations leverage data to create business decisions, in which inspired him to pursue a career in data analytics. In his free time, he trades short-term with oil and invests in ETFs. He enjoys riding his bicycle during weekends, going for a bushwalk, and swimming in rivers and sometimes on beaches.