Emma Wishart
A jack-of-all-trades and a continuous learner, Emma is excited to begin her Data Analytics journey with The Data School. After completing a dual degree majoring in marketing and interactive and visual design, Emma embarked on an exciting journey that took her to London, where she gained valuable work experience. Later, she relocated to Antwerp, Belgium, where she further expanded her skillset by learning Dutch and completing a comprehensive web development course.
Emma recently returned to Australia and joined The Data School Down Under. Eager to dive into the world of data, Emma is committed to honing her skills and becoming an expert in the field. Emma loves nature, travel, eating good food with great company and connecting with people in genuine, hours-long conversations.
Dealing with continuous & discrete data in Tableau
What is the difference between discrete and continuous data in Tableau? Have you ever made a graph in Tableau with an unexpected result? This may be because you needed to convert your data type to discrete when it was continuous, or (more likely) you needed to convert...
Discrete vs Continuous Data in Tableau
What is the difference between discrete and continuous data and how does it impact the way you work in Tableau? Today I will be covering the difference between discrete vs continuous data. This blog is written for those who are getting started with Tableau as well. I...
How to search across tables in a database with SQL
I'm writing a quick blog on an SQL query that comes in handy when you have many tables and columns to search through, but aren't quite sure where everything is in a database. All you need is a keyword and this SQL query, and it could save you hours of searching. The...
Blue vs Green and Dimensions vs Measures in Tableau
In today's blog, I will be disentangling the confusion about three particular Tableau topics: Discrete vs continuous Blue vs green and Dimensions vs measures in Tableau. Discrete and continuous are mathematical terms that are used when describing data. If you...
Discrete vs Continuous Data
Today I will be covering the difference between discrete vs continuous data. This is an important concept to grasp as a data analyst and one that can confuse some data newbies. What is discrete data? Discrete data has the following characteristics: finite,...
From Student to Teacher – Learn with The Data School
"Learn What The Data School Learns" Towards the end of our training period with The Data School, we are required to give training on one of the many topics we have learned over our four months training. Can you learn with The Data School without signing up to...
Dashboard week: how to survive
This blog is written for fellow Data Schoolers who are currently undergoing training. It is my advice regarding dashboard week. Tip 1: Block out the "noise" This is not my general advice for training, but when it comes to dashboard week, my first piece of...
Dashboard Week: Day 3
Hello and welcome to day 3 of Dashboard Week! After we got our presentations for yesterday's dashboards out of the way in the morning, we got cracking on our next project. The data for today is related to Star Trek. Rather than being given a flat file...
Dashboard week: Day 2
Day two of Dashboard week and today we are looking at computer chips! As always, the first step is exploring the data. I know CPU and GPU, but for the rest of the data, a lot of the information is quite foreign to me. So, step one is researching what each column means...
Dashboard Week: Day 1
Hello and welcome to dashboard week! This is a week that is done toward the end of training for every Data School cohort. The week is designed as a bit of a pressure cooker situation, encouraging us to time-box and use all the skills we have learnt over the course of...