The Lifecycle of Data
The lifecycle of data travels through six phases: The lifecycle “wheel” isn’t set in stone. While it’s common to move through the phases in order,...
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Basic Statistics Concepts Every Data Scientist Should know
Introduction Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the co...
How to Visualize AWS Cost and Usage Data Using Amazon Athena and QuickSight
Introduction One of the major reasons organizations migrate to the AWS cloud is to gain the elasticity that can grow and shrink on demand, allowing them to pay only for r...
Free Book: Statistics, Dataviz, and Data Cleaning with R
I stumbled upon this book by chance, when searching for material about time series (probably the most interesting chapter in this collection.) The various chapters are ac...
Three Books About the Mathematics of Data
There are plenty of resources on the Internet to learn linear algebra or to get a refresher, including our own tutorial (here). Below are three interesting books found on...
DSC Podcast Series: AI: Extracting the Hidden Value in Unstructured Data
With the help of Natural Language Processing (NLP), AI solutions can automatically extract critical business insights and emerging trends from large amounts of structured...
What is Data Lake and How to Improve Data Lake Quality
Introduction Building data pipelines is a core component of data science at a startup. In order to build data products, you need to be able to collect data points from mi...
New book on Advanced Data Structures and Algorithms for Big Data Applications
Here I want to present my new book on advanced algorithms for data-intensive applications named “Probabilistic Data Structures and Algorithms in Big Data Applicatio...
DSC Webinar Series: Predictive Modeling’s Counterpart, Data Preparation
When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a m...
Hunting for Data: a Few Words on Data Scraping
No matter how intelligent and sophisticated your technology is, what you ultimately need for Big Data Analysis is data. Lots of data. Versatile and coming from many sourc...