Excel is known to be one of the most commonly used data software. In this article, we take a closer look at what makes it just so effective for data analysis, and how to get started.
Big data provides actionable results and insights that have made it a crucial component of today's tech world. To sort through such massive datasets and retrieve the right information, you must have the right tools and understand how to use them.
Big data is playing a bigger and bigger role in almost every industry. On the back of our increasing reliance on data to make decisions, there are many new types of roles popping up, including that of a Data Visualisation Analyst.
A perusal of any article about data will lead to the conclusion that in the internet age, data is pretty much everything. See why SQL is so valuable.
One of our recent discoveries is BERT aka the Basic Excel R Toolkit. This is a package for working with the R programming language functions from Excel. It's a wonderful resource for adding functionality to Excel and best of all, it is free!
We have recently been training a growing number of professionals in R and Python as they migrate from other code-based analytical packages such as MATLAB, Stata, SAS and SPSS. This post outlines some of the reasons for using code-based tools and why organisations are increasingly using Python and R for their data analysis needs.
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