Part 1 — SQL, Python, R and Data Visualization

‘How did you move from engineering to data science?’


Model Interpretability

Understand LIME Visually by Modelling Breast Cancer Data

Photo by National Cancer Institute on Unsplash


Which Tool is Better for Scalable Data Science?

An illustration of the end-to-end data science pipeline without GPU, parallel programming and a DevOps team. Photo by amirali mirhashemian on Unsplash


A Worthy Cert for Aspiring Data Analysts from Non-traditional Backgrounds


In Conversation with Michael Ng, the Data Analytics Manager at Agilent

Michael from Agilent. Image published with Michael’s permission.


Useful Courses and Resources for Machine Learning

Ready to move into data science? Photo by Andrea Gradilone on Unsplash

‘How did you move from engineering to data science?’


Lessons from an Economist turned Data Analyst

Cliff is a senior data analyst at Grab, a Singapore-based ride-hailing tech unicorn with a presence across South-East Asia.


Chihuahua, Muffins and Confusion Matrix in Machine Learning

Photo by Alicia Gauthier on Unsplash
  1. Introduction
  2. A formal definition of conditional probability
  3. Intuition to conditional probability: Moving to a new universe
  4. Conditional Probability in Machine Learning and Confusion Matrix
  5. How to learn more probability

Conditional Probability Introduction


OPINION

I’m sorry, but it’s true.

Photo by Martin Klausen on Unsplash


What’s the difference and why data scientists should know them

Photo by Wolfgang Hasselmann on Unsplash

Probability and statistics — which comes first?

Travis Tang

A Data Science Guy in Tech from Singapore. linkedin.com/in/travistang | travistang.com

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