After completing a degree in International Relations in 2017, Diego worked in a consulting company focused on attracting foreign investments for the development of sustainable projects in Chile. There he discovered the importance of data-driven decisions and decided to start learning data analysis tools during its free time. After six Excel online courses he finally discovered Tableau, but he did not know where to start. It was during this period when he decided to move from Chile to the UK and by some ‘divine intervention’ he stumbled across The Information Lab online.
Before moving to the UK, Diego was always using every opportunity he had to travel. He volunteered in China and Greece as an English teacher and did one year in the UK as an exchange student before deciding to move indefinitely.
Outside the classroom, he likes to interact with the community in Twitter, play boardgames and read. The book that inspired him to start his data career was Factfullness by the Gapminder Foundation.
The week went very fast and it felt a bit like those small recap episodes between the seasons of a TV program. However, it was still challenging as we were introduced to Tableau Intermediate and very important concepts such as LODs, Table Calcs and Order of Operations.
When we work with data, our continuous data (such as sales or profit) it is usually grouped under some categorical field. Normally these fields would be our discrete variables in the data set, such as “Country” or “Category”. Nevertheless, sometimes we would like to group our data under numerical ranges, this is when we would create a bin based in a numeric dimension.
During week three we went back to ETL, starting with a deep dive in Tableau Prep followed by a very intensive couple of days learning Alteryx Macros. We finished our week with an introduction to statistics in data visualisation and the different tools that Tableau and Alteryx provide to do descriptive and inferential analytics. One of the different things about week three was that we didn’t have any class with our usual coaches (Carl and Andy) but previous Data Schoolers who now work with the Core Team.
Week 2 was all about data visualisation. We learnt about how the brain responds to visualisation cues, explored techniques to build a good infographic and then moved into working with Tableau and Big Data.
After a long application process and a month of waiting, the Data School finally started. What did DS12 do during their first week?
When should I use a join? What type of join should I use? When should I use a union instead?
This blog post it is an introduction to the concept of joins and unions that hopes to answer these questions.