From Data Dictionary to Meta Data with Simple Text Wrangling in Python
My last DSC blog left me a bit disappointed. While the loads of the beefy household and population files for the American Community Survey worked well, the data, just a...
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Analyzing Geographic Data with QGIS – Part 1
Today I’m writing this post to explain how it’s possible to make geographic analysis and answer questions like: which is the richest area in my city? How many...
Applied Ontology and the Drivers of Data Recognition
I shared my story in a few blogs about returning to university to do a graduate degree. In my first class, I found myself being asked to define “ontology.” It was...
DSC Webinar Series: How to Structure a Modern DataOps Team
Over the past few years, the evolution of technology for storing, processing and analyzing data has been absolutely staggering. Businesses now have the ability to work wi...
Evaluation and comparison of open source software suites for data mining and knowledge discovery
An article by A.H.Abdulrahman, J. M. Luna, 2 M. A. Vallejo 3 and S. Ventura with the title “Evaluation and comparison of open source software suites for data mining...
Big Data as a Service, get easily running a Cloudera Quickstart Image with Dockers in GCP
It’s not a secret that containers technology (popularly known as dockers) is becoming one of the top choices in software projects [1], but What about data projects/clus...
Why do people with no experience want to become data scientists?
Below is my contrarian answer to one question recently posted on Quora. It depends on what you mean by “no experience”. An NASA scientist who has processed petabytes ...
Top Data Analysis Books and Videos to become an Expert in Data
Learn how to transform data into business insight with these Data Tutorials and eBooks. Deep Reinforcement Learning Hands-On By Maxim Lapan This practical guide will teac...
Why is Becoming a Data Scientist so Difficult?
This question was recently posted on Quora. Below is my answer. It depends what kind of data scientist you want to become. I think many university curricula include mater...
A Data Scientist’s Guide to an Efficient Project Lifecycle
It is often seen that projects often overshoot their normal completion data by at least three times most probably owing to shifting goals, inefficient approaches towards ...