9 Fascinating Novel Coronavirus Statistics and Data Visualizations
by Here’s what you should know about the Novel Coronavirus (COVID-19) as of today These numbers are as of February 15, 2020 and are taken from …
Category: Data Science
A Simple Guide to A/B Testing for Data Science
A/B Testing is one of the most important statistical methods for data scientists A/B testing is one of the most important concepts in data science …
Basic Statistics You NEED to Know for Data Science
Fundamental statistic concepts to get you started on your Data Science journey The purpose of this is to provide a comprehensive overview of the fundamentals …
An Extensive Step by Step Guide to Exploratory Data Analysis
My personal guide to performing Exploratory Data Analysis for any dataset What is Exploratory Data Analysis? Exploratory Data Analysis (EDA), also known as Data Exploration, …
The New Operating Model for Enterprises
by Moving from “data-centric” to “model-centric” — Every two days now we create as much information as we did from the dawn of civilization up until …
How to Make Life Easy for a Newly Hired Data Scientist
by When a new data scientist is hired into your team, it takes some time for the person to be productive. The data science onboarding process …
Data Science & Analytics (DSA) — The Need for Productivity Tools
In my last post on Data Science — the new era, I have described how traditional data science is undergoing a change in the Enterprise. In this post, …
Being a Data Scientist in the Modern Era
Traditionally, being a Data Scientist is regarded as a domain exclusive to some people who understand mathematics and statistics. But this will change in the …
Don’t Let Your Dirty Data Get You Down
“Dirty data” is a slang term for raw data, such as data that differ in format, resulting in duplicates, includes special characters or HTML tags, …
Riding the Next Big Trend in Big Data
Harnessing the tactical insight of real-time data streams is the next big data trend on the horizon, and enterprises are gearing up to hop on …
Liberate Your Data Scientist from Management Overload
The proliferation of analytics databases throughout the enterprise has required an increasing level of effort to develop data management practices. Skilled data scientists and analysts …