Insights & Blogs
Discover articles and tutorials to help you build better.
12% of Australian businesses say they use AI. 84% of Australian workers say they do. Learn what that gap means for your organisation, and why banning tools means it worse.
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.
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.
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.
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