Insights & Blogs

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!

Nexacu has recently made the switch from printed to digital materials. See why we made the switch and how you can access your Post Course eBook.

Organisations are constantly refining how they analyse data to draw actionable insights, and Microsoft's Power BI will simplify this process.

We were happy to be able to assist women who are in the process of rebuilding through our donation of laptops.

SharePoint is a useful tool in your organisation’s tool kit. It’s user-friendly interface makes creating efficient and purposeful sites easy.

Congratulations to Wade, our very first student to complete the Nexacu Python for Data Analysis Certification!  Wade had no prior experience with Python but has now produced a very impressive final capstone project.

Within a few years of its release, Microsoft’s project became the dominant PC-based project management software. Given the recent release of Microsoft Office 2021, it’s time to have a look at the new features added to MS Project in 2021.

Microsoft is constantly updating and innovating their products – including Teams, the collaboration application that skyrocketed in popularity during the Coronavirus pandemic.

Power Apps empowers employees to use their unique perspective to solve problems – cutting down on third-party costs in the process.

Quickly and easily complete tasks that could have otherwise be quite time-consuming and tedious with this Python code.

The R package, janitor, contains easy-to-use and convenient functions for basic data cleaning jobs and examining data. Let's take a look at some of these functions.

Excel crunches numbers very effectively, but it must always be remembered that it is also a communication tool just like Dashboards.

Structured Query Language (SQL) is currently one of most desirable and transferable skills in organisations across industries. But what is SQL? and why should you start learning it?

You may have seen *args in the help documentation for Python functions and methods. This post explains what this parameter is, how to use functions that include an *args parameter and how to include *args in your own custom functions.

Python users who work in Jupyter computational notebooks have access to an extra collection of commands – known as magic commands. Magic commands are an enhancement of the interactive IPython kernel (used by Jupyter) and make performing common tasks easier than using Python code alone.

The data frame (or DataFrame) is an essential tool for anyone using R or Python to analyse data. They are rectangular or tabular data structures, that hold rows and columns of data, similar to tables in a database or an Excel spreadsheet.

Recently Microsoft has announced further information about the Visualize list feature that will be available in Microsoft Lists (aka SharePoint Lists). We'll break down what this means and how you'll be able to use it.

The pandas groupby() is a versatile DataFrame method that enables to users to quickly and efficiently separate datasets into groups by a chosen variable. It can be used to report summary statistics for each group, loop over groups and to separate data into subsets.

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.