Infographic

The Data Scientist‘s Guide to R Packages: A Deep Dive into Essential Libraries

Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed

Cheat sheet for creating data visualizations in R – Histogram, Bar Chart, Line chart, box plot, scatter plot, mosaic plot, heat map, correlogram

Data Science Competitions such as Kaggle competitions are illustrated with their difficulty level. Here are some useful tips to win them.

SAS vs R vs Python have similar abilities and have its own importance. This infographic describes the best tool to be used in the analytics industry.

This infographic show best resources to learn python for data science. These resources are most useful to practice and learn python quickly.

Here are some new data science trends you should know. In this article learn about the trending data science topics of 2015.

A few tips on creating a winning dashboard from winner of Qlikview Open Data Challenge.