Hunter Iceton

Hunter Iceton is an enthusiastic and positive individual. He graduated from Sydney Uni in 2017 with a Bachelor of Commerce (Liberal Studies) majoring in Finance, Marketing and Quantitative Business Analytics. For the next few years, Hunter spent his time creating and releasing music, while tutoring primary and high school students in Mathematics and Business Studies. Hunter is now excited to be joining The Data School, looking forward to approaching analytics with a creative perspective.
In his spare time, Hunter enjoys continuing to create music, reading philosophy and cooking plant-based dishes. Otherwise, he can usually be found at a restaurant, a bar or an art gallery.

Dashboard Week Day 4: Music & Mental Health

Dashboard Week Day 4: Music & Mental Health

Our third day of Dashboard Week required us to connect to Music & Mental Health data on Kaggle to make a dashboard to show a story we found. The first thing that jumped out as me was all the different music genres in the data so I decided to focus my analysis on...

Data Modeling: For Reporting

Data Modeling: For Reporting

Data warehouses are crucial for storing and managing enterprise-wide data. My previous blog Data Modeling: Building a Database outlined the importance of properly establishing the right conceptual, logical and physical models and eliminating data redundancy with...

Dashboard Week Day 3: Horse Racing

Dashboard Week Day 3: Horse Racing

Our third day of Dashboard Week required us to connect to this Kaggle Horse Racing data to make a dashboard to show a story we found. I took a cursory look at the data and immediately became interested in the mother and father columns and decided to focus my analysis...

Dashboard Week Day 2: NASA FIRMS

Dashboard Week Day 2: NASA FIRMS

Our second day of Dashboard Week required us to connect to the Global FIRMS Database to make a dashboard to show a story we found. My first thought was to look at the relationship between the size, brightness, fire radiative power and type of fire across different...

Machine Learning: The Basics

Machine Learning: The Basics

One of the hottest topics in the layperson discourse surrounding data is machine learning. Machine learning is a special form of artificial intelligence that uses mathematical algorithms and an initial dataset to develop models that can make judgements about new data....

5 Reasons Why I Love the Normal Distribution

5 Reasons Why I Love the Normal Distribution

It was precisely 200 years ago that child prodigy Johann Carl Friedrich Gauss discovered the power of the normal distribution as a probability density function (PDF). He was interested in how to best approximate the value of an unknown quantity based on a series of...

Data Modeling: Building a Database

Data Modeling: Building a Database

After understanding the fundamental ideas of data modeling (perhaps through my previous blog Data Modeling: The Basics), you may be wondering how this actually comes together in practice to build a functional database. So, let's now look at the general process that...

Data Modeling: The Basics

Data Modeling: The Basics

As data analysts, it can be easy to take data storage and retrieval for granted. However, the sub-discipline of data modeling is as complex as it is imperative for the simple and efficient organisation of data for any key stakeholder. Here are the most important ideas...