Oliver Inthavong
Oliver graduated from USYD with a Bachelor of Science (majored in Mathematics, Financial Mathematics and Statistics) and has 7 years in teaching experience. During his time studying and tutoring, he discovered his passion for data analytics while exploring the world of finance and investing.
Over the years, he researched how innovative companies have leveraged their data by building valuable products, services, and technology. He soon realised he wanted to be part of a company that helped others make smarter decisions and really understand their data. That’s when he recognised he would be the perfect fit for The Data School!
In his free time, he enjoys watching anime, sports (particularly NRL and NBA), lifting weights, and talking about anything investing related.
The Data School Hash Brown Challenge
The Challenge Data is the foundation of everything at MIP & The Data School Down Under. As we've learned 3 months ago, this extends not only to business decisions and insights, but also to daring, food-eating claims. Ladies and gentlemen, it is now my honour to...
Alteryx Spatial Tools: Poly-Build and Poly-Split (w/ Challenges)
Spatial analytics can be useful for understanding patterns and relationships in data that are geographically based, such as crime rates, population data, etc. In this blog, I am to focus on Alteryx's capability to solve geographical problems by covering: The...
Guidance for the Tableau Data Analyst Certification Exam
After completing and passing the Tableau Data Analyst Certification Exam, I thought I would write this blog as an opportunity to help others increase their chances to become certified (I also wrote this blog to make up for my short-lived Tableau tutorial series but...
DSAU16 Dashboard Week – Day 5: Australian Charities
For day 5 of dashboard week, we were assigned to produce a visualisation on a dataset provided by the Australian Charities and Not-for-profits Commission (ACNC) for 2017-2019. This dataset is filled with information ranging from their main activities, beneficiaries,...
DSAU16 Dashboard Week – Day 2: LFB Dog Incidents
For day 2, Bethany provided us the London Fire Brigade (LFB) dataset and encouraged us to supplement the data with a source from the London Datastore. I selected the animal rescue incidents attended by LFB as my supplementary data. Since Bethany is so wonderful, she...
DSAU16 Dashboard Week – Day 4: Extinct and Endangered Species
The intensity truly picked up during dashboard week day 4. For this task, we were required to create a dashboard based on an extinct and endangered species dataset which Bethany kindly web scraped for us. In this blog, I will be covering the challenges I experienced...
DSAU16 Dashboard Week – Day 3: Punk API
For day 3 of dashboard week, the requirement was to retrieve the data source from the Punk API and create a Tableau dashboard based on beers (which I will be staying away from for a long time because of Melbourne Cup day). In this blog, I will provide a high level...
DSAU16 Dashboard Week – Day 1: Melbourne Cup
Time to giddy up because DSAU16 dashboard week is upon us and we have started off with an absolute flyer! For day 1, we were provided the tasks to web scrap from Melbourne Cup data using Alteryx and produce a Tableau visualisation to present for the next morning. In...
Tableau Tutorial #2: Table Calculations (Moving Average)
In this blog, I will cover quick table calculations and an example using Yahoo's Finance dataset on the daily price of Bitcoin (BTC/USD) from September 17, 2014 - October 15, 2022. Fundamentals Table calculations allow us to flexibly obtain values based on what...
Tableau Tutorial #1: FIXED LOD Expressions
While revising for the Tableau Certified Data Analyst Exam, I thought it would be a good idea to do a series of Tableau Tutorials to consolidate my understanding for exploring and analysing data concepts. In this blog, I will be guiding you through what FIXED LODs...