Martin Ding
Martin earned his Honours degree in Economics at the University of Melbourne in 2011. He has more than 7 years of experience in product development, both as an entrepreneur and as a project manager in robotics at an AI unicorn.
Martin is expecting to receive his Master’s degree in Data Science from CU Boulder at the end of 2022. Martin is excited about data and it’s power to transform organizations. He witnessed at first hand of how instrumental data driven decision making (DDDM) was in leading to more team buy-in and insightful decisions.
Martin joined the Data School to systematically enhance his knowledge of the tools, methodologies and know-how of Data Analytics and DDDM. When not working, Martin enjoys readings, cooking, traveling and golf. He also thoroughly interested in the practice of mindfulness and meditation.
A Gentle Introduction to Survival Analysis: Part IV – Python
Welcome to this four-part blog series where we introduce a powerful analytical tool called Survival Analysis. In this series, I will provide a beginner-friendly guide to help you understand this popular statistical method. In the first part, I will introduce the key...
A Gentle Introduction to Survival Analysis: Part III – Alteryx
Welcome to this four-part blog series where we introduce a powerful analytical tool called Survival Analysis. In this series, I will provide a beginner-friendly guide to help you understand this popular statistical method. In the first part, I will introduce the key...
A Gentle Introduction to Survival Analysis: Part II – Key Models
Welcome to this four-part blog series where we introduce a powerful analytical tool called Survival Analysis. In this series, I will provide a beginner-friendly guide to help you understand this popular statistical method. In the first part, I will introduce the key...
A Gentle Introduction to Survival Analysis: Part I – Theory
Welcome to this four-part blog series where we introduce a powerful analytical tool called Survival Analysis. In this series, I will provide a beginner-friendly guide to help you understand this popular statistical method. In the first part, I will introduce the key...
Thoughts and Reflections from DSAU 15
As the four months of training at The Data School Down Under draws to an end, each member from cohort DSAU15 offers their thoughts, reflections and advice on their training. In no particular order: Mark's simple, yet meaningful tip When first seeing a new dataset,...
Dashboard Week – Day 5: AFL Data
5 min read As Data Schoolers, towards the end of our 16-week intensive training, we all take on an ambitious challenge — creating one dashboard, one blog and one presentation on a fresh dataset every day for a week! Today marks the final day of this challenge....
Dashboard Week – Day 4: Australian Census 2021
5 min read As Data Schoolers, towards the end of our 16-week intensive training, we all take on an ambitious challenge — creating one dashboard, one blog and one presentation on a fresh dataset every day for a week! Today marks the fourth day of this challenge....
Dashboard Week – Day 3: Star Wars
5 min read As Data Schoolers, towards the end of our 16-week intensive training, we all take on an ambitious challenge — creating one dashboard, one blog and one presentation on a fresh dataset every day for a week! Today marks the third day of this challenge....
Dashboard Week – Day 2: Wage vs. Inflation
5 min read As Data Schoolers, towards the end of our 16-week intensive training, we all take on an ambitious challenge — creating one dashboard, one blog and one presentation on a fresh dataset every day for a week! Today marks the second day of this challenge....
Dashboard Week – Day 1: Global Power Plants
5 min read As Data Schoolers, towards the end of our 16-week intensive training, we all take on an ambitious challenge — creating one dashboard, one blog and one presentation on a fresh dataset every day for a week! Today marks the first day of this challenge....