It has been 2 years ever since I started my data science journey. Boy, that was one heck of a roller coaster ride!
There were many highs and lows, and of course, countless cups of coffee and sleepless nights.
I failed a lot, learned a lot, and of course, grew a lot as a data scientist along the journey.
Throughout my journey in these 2 years, from writing on Medium, speaking at meetups and workshops, sharing my experience on LinkedIn, consulting clients on data science projects, to the current stage of teaching data science in education, I find joy and…
Yes, you see it right… The guy in the picture was me doing my meditation in the meditation hall of the temple.🙏🏻
It all started when I was searching online for a physical meditation retreat to just set everything aside and retreat from the world for a few days, learn meditation and practise mindfulness for inner peace and clarity.
Long story short. I found a 5-day meditation retreat in a temple which was going to start in a few days. Unfortunately, it was already sold out due to limited spaces.
I remember I was still a kid when SARS outbreak happened in 2003. In fact, I didn’t have much impression of SARS, at least not to the extent of social distancing, movement restrictions, or even lockdown.
But this time… is different.
This time is… tough.
From the first COVID-19 case that happened in China in November 2019, to millions of cases spanning across countries globally to date. It’s highly infectious and spreading faster than ever before, if not controlled properly.
Few years ago, I used to taking hot showers in the morning and cold showers would only be my last resort (due to power outage or for whatever reasons…).
Taking cold showers would never be my choice because it was just too cold and uncomfortable.
On the other hand, hot showers were so comfortable and relaxing that I couldn’t help but turn the shower handle to the “red” color’s side (if you know what I mean 😂).
Well, things changed when I read a book — A Legacy to My Sons written by Jimmy Neo, a very successful entrepreneur, a…
To be honest with you, I’m not sure when I started reading. But one thing is for sure, and that’s reading has changed my life — both in small and big ways.
I still remember my English sucked during my secondary school’s period, I couldn’t even speak a proper sentence in English, let alone writing in English.
After some encouragement by my English teacher to improve my writing skills in English, I went to a bookstore and bought my first English book — Life Is What You Make It — that has changed my life ever since.
From that book…
In today’s world, an attribution software-as-a-service (SAAS) easily costs USD 5000 — USD 15000 per month. PER MONTH, mind you. And with good reasons too.
If I must choose, accurate attribution is THE one metric that triumphs above all other metrics. It tells you where your dollars are coming from, which translates directly to where should you focus your resources on.
But there is a catch. Attribution is not as straightforward as that. There are countless ways to do it and no one can firmly say one way is better than the other.
In fact, most companies do not even…
In the world of digital marketing, marketers are drowning in data. It is virtually impossible for us to manage each of them systematically, let alone scientifically.
Hence, we need priorities. We need to prioritize the data that are more important. For example, in the world of fitness you tend to do compound movements first to build that solid foundation for optimum overall muscle growth. Only then you proceed to isolated movements to fine tune and hit the muscle group individually.
Question is, can this be applied to the marketing world? Are certain data more imperative than others? If so, which?
Having great mentors to learn from has been a huge blessing throughout my data science career, or even in life.
I still remember the defining moment when I decided to transition from physics into data science during my final year in university.
The jump was… scary.
The self-doubt was real. The fear was real.
Believe it or not, I was just like any other aspiring data scientists who started out by learning from online courses, reading relevant textbooks and joining Kaggle.
But I still felt something was missing.
Throughout that period, I had been learning by myself without really understanding…
When I first started out in data science, I was just like anybody else when it came to finding a job in data science space.
Long story short, I went to job portals, submitted hundreds of resumes for various data scientist jobs, and “hoped” for the best.
As expected, most of the time I got rejected to a certain point where my inbox was filled with email like:
Thank you for your application for the position of Data Scientist at ___. Unfortunately…
Thank you for your application for the position of Data Scientist at ___. …
If you’ve been following my articles, chances are you’ve already read one of my previous articles on Why and How to Use Pandas with Large Data.
Being a data scientist, Pandas is one of the best tools for data cleaning and analysis used in Python.
It’s seriously a game changer when it comes to cleaning, transforming, manipulating and analyzing data.
No doubt about it.
In fact, I’ve even created my own toolbox for data cleaning using Pandas. The toolbox is nothing but a compilation of common tricks to deal with messy data with Pandas.
Don’t get me wrong.
Helping Companies & Agencies with Data| Data Scientist | Social & Marketing Analytics | Speaker | Writer