Podcast Symbolic Connection Podcast - Leo Tay, Data Science Engineer @ Allianz We invited Leo Tay who is also an AIAP graduate like Thu Ya and currently working as a Data Science Engineer at Allianz. He shared his interesting journey of becoming
Blog Data Science Learning Strategy Learning data science can be frustrating because it is multi-disciplinary. There is much context switching, tools switching, etc. This is further exacerbated if you have taken boot camps that hope
Blog Using Excel is not Data Science? "If you use Excel, it is NOT data science." Surprisingly, I heard similar comments a lot of times. So this post I am going to discuss it and share my
Blog Domain Knowledge - Picking Them Up Recently, I was asked the question “How can I go about to pick up domain knowledge?” To be fair to a lot of boot camps and degree programs, it is
Blog Learn Concepts First, Tools Later A common mistake that data science trainees have is they focus very much on the tools rather than the concepts that are evergreen. They usually ask, "Which tool shall I
Blog Why Data Science Failed in Business (Part 3) Continuing from my previous two posts, today I am going to discuss the last 3 reasons of failure in data science from the article "Data Science: Reality Doesn't Meet Expectations"
Blog Finding the Right Data Science Talent In the last few months, given the employment situation, many people are in transition looking for jobs. There are a lot of LinkedIn posts on interviews with different businesses and
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 Why Data Science Failed in Business (Part 2) Continuing from my previous post, today I am going to discuss two more reasons of failure in data science from the article "Data Science: Reality Doesn't Meet Expectations". Photo by
Blog Why Model Validation: Overfitting & Underfitting One question I get a lot is why model validation is important in a data science process, specifically in supervised learning. In this blog post I will be talking about
Podcast Symbolic Connection Podcast - Guest: Charin Polpanumas Our next guest is Charin Polpanumas from Bangkok! He is the Lead Data Scientist at Central Retail, Thailand's largest owners of shopping malls, supermarkets, office depots, and so on. He
Blog Why Data Science Failed in Business (Part 1) Recently, there was an article posted at Data Science SG, an interest group that I co-founded. In the article, "Data Science: Reality Doesn't Meet Expectations". Seven (7) common reasons were
Podcast Symbolic Connection Podcast - Getting into Data Science as a Career In this episode, we discussed how someone, regardless of their background, can get into data science. The topics include the necessary skills and knowledge he/she need to be equipped
Blog Hiring Data Scientists - "Real" vs "Fake" In one of the conversations I have recently, there was a discussion on how to determine whether a person is a data scientist because of experience and capability data scientist
Blog Data Science Mentor For Your Business Saw the following in Harvard Business Review Jan/Feb 2020 issue, titled "The Transformer CLO". Here is the article if you are interested. "One priority, for instance, is to get
Podcast Symbolic Connection Podcast - What is Data Science, Machine Learning & Artificial Intelligence? In this episode, we explore what is Data Science, Machine Learning, and Artificial Intelligence. We also discussed the relationship and differences between them. How did Data Science come about, what
Blog Four levels of Analytics/Data Science I notice a lot of companies have challenges trying to gain value from the data they have collected. There are many considerations before we can start discussing on gaining value
Blog Covid-19 And World of Data How Covid-19 pandemic might impact the use of Data Science & Artificial Intelligence in Business
Blog Data Collection Challenges: Examples A lot of people can quote the common mantra of "Rubbish In Rubbish Out" and understand that getting data correct, of the right quality is a must but how many
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 Data Science Myth (2) - It is a Magic Pill! There was a time, I keep hearing people propose doing "Data Science" for any kind of business challenges as though its a magic pill that once you pop it in
Blog Data Science Myths (1) - Most Accurate Wins? Timothy has just graduated from a Data Science degree program and started work in Lifestyle Coupon, a company that sells consumers discount coupons similar to Groupon. Lifestyle Coupons has just
Blog Must Consider the Impact to Stakeholders During my training classes, when the topic of common machine learning models was being discussed, I usually will also discuss this sub-topic and that is the usage of insights from
