I had never heard of the term Analytics Translators until this week, where I chanced upon an article by HBR. According the the article, "translators play a critical role in bridging the technical expertise of data engineers and data scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and other frontline managers." Simply put, … Continue reading The Search for ‘Analytics Whisperers’
Programming
Data Science Immersive [Final Review]
In between juggling my capstone project and lessons, I had not updated the last four weeks of my time at DSI. But here is the final review to make up for it! The final four weeks were spent learning about Bayesian statistics, Hadoop, Spark, forecasting time series, Flask, Recommender Systems with a brief overview on … Continue reading Data Science Immersive [Final Review]
Data Science Immersive [Week 8 Review]
Short Week != Less Work A four-day week punctuated by Deepavali celebrations on Wednesday, but I suspect most of my classmates are not celebrating much (like me). The shorter week was characterised by lessons in NLP topics such as sentiment analysis, topic modelling and Naive Bayes, and -- what else -- more work on the … Continue reading Data Science Immersive [Week 8 Review]
Data Science Immersive [Week 7 Review]
With just about five weeks left until graduation, most of the class spent a great deal of time on their capstone project during the week. Milestone 2 was on Friday and milestone 3 is just seven days away; the reality of things quickly settle in when you have so many deadlines to meet. I personally … Continue reading Data Science Immersive [Week 7 Review]
Data Science Immersive [Week 6 Review]
We are at the halfway mark! Six weeks left until the end of DSI. I missed the blog update on Week 5, but these last two weeks were spent on Project 3, where the goal was to try and predict housing prices using the Ames housing dataset found on Kaggle. Compared to the last two … Continue reading Data Science Immersive [Week 6 Review]
Data Science Immersive [Week 4 Review]
Oh boy, what a journey it has been so far. One month into the data science immersive, I look back at the number of things I have learnt and I am amazed that I have managed to stay sane. From having almost zero coding experience to learning about multiple linear regressions (as above), I would … Continue reading Data Science Immersive [Week 4 Review]
Data Science Immersive [Week 3 Review]
3 weeks down! And we finally got a week where the content was less heavy. We had more practice on data munging and EDA using pandas while learning more about Regex, statistics and SQL. We also had a mini group project focusing on EDA. My group project was on the Boston marathon and trying to … Continue reading Data Science Immersive [Week 3 Review]
Data Science Immersive [Week 2 Review]
From Wikipedia, on the Shinkansen: "The maximum operating speed is 320 km/h (200 mph). Test runs have reached 443 km/h (275 mph) for conventional rail..." I think back about the classes I took in university and took into consideration its pace versus General Assembly's course. To put it simply, lessons in university ran at the … Continue reading Data Science Immersive [Week 2 Review]
Data Science Immersive [Week 1 Review]
Key Thoughts: First week has been brutal. Aside from having to revisit statistics that I have not touched since university days, I had to contend with a challenging first project that I spent the long weekend on. Yup, bye-bye to social life for now. Just based on the amount of content covered this week, I … Continue reading Data Science Immersive [Week 1 Review]
Data Science Immersive = [‘Day 3’]
I am now into the third day of my bootcamp experience with General Assembly. A quick summary of my journey so far is captured below: Yea, I wrote down my experience as a block of code. Am I going crazy or what? Week 1 of DSI has been going at a breakneck pace, at least … Continue reading Data Science Immersive = [‘Day 3’]
