Data Trends for Investment Professionals

GO TO QUANDL.COM ⟶

Free DataCamp Tutorial for Quandl and R

This is a guest post from DataCamp. At DataCamp we build tools to learn data science interactively. We have an onlineR tutorial to learn R Programming and a Python For Data Science tutorial to learn Python. Some time ago we collaborated with Quandl to developHow to Work with Quandl in R, a free interactive tutorial that introduces you to the main functionality of the Quandl R package. Evidently, we hit the mark with this one because to date, this course has been taken by more than 30,000 data science enthusiasts. In the past few weeks, we’ve been updating many of...

BOOK REVIEW: Financial Analytics with R

There’s a new source in town for those who want to learn R and it’s a good, old-fashioned book called Financial Analytics with R: Building a Laptop Laboratory for Data Science.  Written by Mark Bennett and Dirk Hugen, it hits the shelves in the U.K. in September and the U.S. in November. Though designed as a graduate-level textbook, it is a highly appropriate read for practitioners in financial analysis who are new to R, or who want to improve their understanding and use of R. Be warned, however, that a sufficient background in university-level math, statistics, and computer science is...

Bring Your Own Tool: the Latest Trend in Data Analysis

The role of the data analyst is changing. The best analysts know that different tasks require different tools. The End of Bundling Once upon a time, data purchases came bundled with data consumption software. You couldn't just buy a dataset; you had to install a proprietary data downloader. You couldn’t just view the data on your computer; you needed a custom visualizer, or even a full-fledged data terminal. And you couldn't do whatever you wanted with the data; you were forced to work within the applications provided to you by the vendor. Today, this seems absurd. In 2016, analysts don't...

Cheat Sheet for Data Analysis in R

This is a quick reference for data acquisition and analysis using R and Quandl.   [pdf-embedder url="http://quandlbloghost.wpengine.com/wp-content/uploads/2013/12/Quandl-R-Cheat-Sheet.pdf"]   You can download a PDF of this file here.

Using Quandl in R

Our mantra here at Quandl is making data easy to find and easy to use. Following that goal we (and subsequently the community) have created packages that integrate Quandl’s API into a number of software platforms. Today we’ll take a look at R. R is a free statistical computing language created in 1993 based on an implementation of the S computing language. It has many packages written by its community which keep its methods on the cutting edge of statistical analysis. Quandl’s API wrapped within R makes the tedious aspects of getting data into your console trivial, and gets you...

Fix This
Fix This
Created with Sketch.