How To Build Compelling Stories From Your Data Sets
Are you done with digging, slicing and aggregating those numbers, your job is not over yet. Presenting your findings is an art itself, find out how by means of visualization you can achieve this.
on Aug 31, 2015 in Data Visualization, import.io, Storytelling
A Beginner’s Guide to SQL
SQL is one of the core skills of a data engineer and data scientist. This mini-tutorial explains the four fundamental SQL functions: Create, Read, Update, and Delete using a fun example of movie quotes database.
on Aug 27, 2015 in Data Processing, SQL, Udemy
Learn to Map Census Data in R – free email course
The course, split into 5 lessons, is designed to teach people how to easily make beautiful and informative maps of US demographics. People start with US State maps and progress to county and zip code maps.
on Aug 19, 2015 in Ari Lamstein, Maps, Online Education, R, US Census
Apache Drill Makes Big Data Analysis Easier for Everyone
Apache Drill is an open source query engine that provides interactive and secure SQL analytics at the scale of petabytes. Provides data querying and exploring capabilities from varied NoSQL databases and file formats.
on Aug 18, 2015 in Apache Drill, Kaushik Pal, SQL
Big Idea To Avoid Overfitting: Reusable Holdout to Preserve Validity in Adaptive Data Analysis
Big Data makes it all too easy find spurious "patterns" in data. A new approach helps avoid overfitting by using 2 key ideas: validation should not reveal any information about the holdout data, and adding of a small amount of noise to any validation result.
on Aug 17, 2015 in Holdout, Model Performance, Overfitting, P-value, Vitaly Feldman
Understanding Basic Concepts and Dispersion
In analytics it is a common practice to understand the basic statistical properties of its variables viz. range, mean and deviation. Centrality measures are the most important to them, explore how to use these measures.
on Aug 10, 2015 in Dispersion, RideOnData, Statistics
Statistics – Understanding the Levels of Measurement
For doing statistics or analytics it is first step to understand the variables. Moreover, it is important that one truly knows which measure to take with different available types.
on Aug 6, 2015 in Data Analysis, Measurement, RideOnData, Statistics