Practical guide to understand, build, and execute data quality & cleaning process In the book ‘Bad Data Handbook’ Q Ethan McCallum has rightly said, “We all say...
Summary: This blog showcases the handling of daily data of cases/deaths from Covid-19 in the U.S. published by the Center for Systems Science and Engineering at Johns H...
This article was written by Suresh Kondamudi. Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging ...
This article was written by Lixun Zhang. As a data scientist, I have experience with R. Naturally, when I was first exposed to Microsoft R Open (MRO, formerly Revolution ...
We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influenc...
Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. Am...
There are some expressions about data that are getting a bit tired: Data is the new oil; In God We Trust (all others must bring data); Buy data, sell high… Okay, yo...
How can you transition your business analytics from a manual, slow, and prone to error data transformation process in Excel into a reliable and automated solution to empo...
This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of only 5 projects out of 230 submi...
The Covid19 pandemic has given me a chance to catch up on some reading. One of the books I recently finished reading is called “Building a Story Brand” by Donald Mill...