Blog Data Science New Year Aspirations! (Part 2) So in my last post, I talked about the six levels to prepare yourself in becoming a data scientist. To recap, the six levels are: Level 0 - Calculus, Linear
Podcast Symbolic Connection Podcast - Cliff Chew, Senior Data Analyst at Grab This episode, we have Cliff Chew, a Data Analyst with Grab. He will be sharing his transition from economist-by-training into a data analyst. He also shares some tips on how
Podcast Symbolic Connection Podcast - What is Good Visualization and How to Get There We are discussing about Data Visualization! We discuss why is data visualization important in the Big Data era, talked about the different tools of visualization and more importantly what is
Blog Data Literacy - New Age Literacy Every one of us has this strong innate desire to get the best for our lives. Possibly due to our survival instinct that we behave that way. Every time there
Blog Tips for Designing Good Data Visualizations I have been teaching Data Visualization for a while now. One of the many reasons I loved training is that my thoughts are structured further and I get to practice
Blog Coding Best Practices for Beginners I am an economist by training and (gladly) stumble upon the field of Data Science and Artificial Intelligence. You can see that my coding experience/training is very minimal during
Blog Economist become Data Scientist? Came across an interesting thread in Reddit. Recent graduate, here. Any advice? from datascience TLDR: The OP's question was "As an Economist by training, can he/she be a data
Blog Quick Win from Data - Start with Visualization During my work, many have asked the following question, in one form or another. “How can I score quick wins from my existing data?”It is a reasonable question, given
Blog Data Cleaning for Data Scientist A lot of us might have heard about the urban myth that if you are a data analyst/data scientist, data cleaning (or known as data munging as well) forms
Blog Difference Between Data Analyst & Data Scientist An FAQ that gets asks in tech communities and Quora is "What is the difference between data analyst and data scientist?" I am going to attempt to answer it based
