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.

I’ve recently had to do some basic administrative tasks with Excel files. Using Python, I was able to quickly and easily complete tasks that could have otherwise been quite time-consuming and tedious. The examples below illustrate how Python can be used to improve these kinds of processes.

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.

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?

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.

Whether you are a Business Intelligence professional, Excel guru or just starting out - these tips will help you to improve your Power BI skills

Sitting the DA-100 exam and becoming a certified Power BI user isn't easy, but we'll show you how to make it a little less difficult with our top 5 tips.

Microsoft Ignite 2021 has just begun and we'll break down our top picks to keep you informed

The apply family of functions in R allow you to apply a function repeatedly to subsets of data in a single line of short code. Apply functions automatically to each column or row of data. Alternatively, apply functions to subsets of a data based on a category variable.

Both R and Python have a huge range of functionality available for working with data. Investing a few weeks to learn to use a programming language will enable you achieve big productivity gains. 

Looking to the future WaterNSW's sought to ensure processes and information systems could carry across the whole of the organisation to ensure seamless operation as they grew. With Microsoft's cloud products they achieved this and improved experiences for employees and customers alike.

Microsoft's Power Apps allows for the creation of quick, low-code apps without the need for a developer. However, the platforms vast functionality means beginning the process can be daunting. Read on for tips and tricks designed to make starting out as smooth as possible.