This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
1. Introduction Pandas First, Pandas is an open source Python library for data analysis. It contains data manipulation and data structures tools designed to make… Read More »Getting Started with pandas a powerful Python data analysis toolkit
We are very happy to announce that DSC has found a new home: Tech Target (Nasdaq: TTGT), the global leader in purchase intent-driven marketing and… Read More »Tech Target Acquires Data Science Central
A few years ago, in a Q&A session following a presentation I gave on data analysis (DA) to a group of college recruits for my… Read More »Multi-Dimensional Frequencies with R data.table.
Edge computing is a hot topic and carries with it some confusion, particularly around storage. Handling data properly at the edge can ensure a scalable,… Read More »Data Storage at the Edge: Typologies and Attributes
This article was written by Jim Frost. Regression is a very powerful statistical analysis. It allows you to isolate and understand the effects of individual… Read More »Five Regression Analysis Tips to Avoid Common Problems
We talk a lot about how to get hired as data scientists, but it’s time for our annual roundup of where to get hired as… Read More »9 Cities To Get Hired as a Data Scientist for 2020
As I discussed early last year, the data science field is a virtual hot-bed of terminology, a confluence of terms from computer science, statistics, mathematics, and… Read More »The 2020 Data Science Dictionary—Key Terms You Need to Know
Data science is all about extracting the information from the data gathered. As data has become one of the essential entities in today’s world, it drives… Read More »Data Visualization 101: 4 Tips To Convert Data To Information Quickly
by Robert Robison, Data Analyst, Elder Research In 2019, over 40 million Americans wagered money on March Madness brackets, according to the American Gaming Association.… Read More »How to Pick a Winning March Madness Bracket
Data science uses many different probability distributions, but some are used more than others. This one picture shows an overview of five probability distributions data… Read More »Different Probability Distributions in One Picture
