The majority of businesses today recognise the advantages of a data-driven business strategy and are looking for individuals to help them interpret the continual influx of data. According to research, over 70% of CEOs have stated that they would favour job candidates with data capabilities. The demand for data analysts will only increase as our physical world becomes more digitalised.
A data analyst’s job is to organise, analyse, and retrieve data in order to help a business improve its production, efficiency, and other important aspects of its operations. But what are the essential skills needed for data analysts to thrive in their work? In this article, we discuss 4 must-have skills that data analysts should possess in 2022.
1. Data visualisation
The depiction of data using conventional images such as charts, plots, infographics, and even animations is known as data visualisation.
Being able to get a brand’s message across by telling compelling stories is crucial to keeping audiences engaged. Data findings should be easily accessible to convey this message well. Data analysts should be well-versed in data visualisation to present their findings concisely. For instance, utilising maps, charts, and graphs can help represent data more accurately. With easy-to-understanding findings, data is easily gleaned, and businesses can make more informed decisions.
Consider signing up for Aventis Learning Group’s Introduction to Data Visualisation: Presenting Insights From Data (Virtual) course.
2. Machine learning
Machine learning, a subset of artificial intelligence (AI), has emerged as one of the most significant advances in data science. It essentially focuses on utilising data to mimic the way that humans learn. Algorithms are trained to use statistical methodologies to make classifications or predictions, providing vital insights. Following that, these insights drive decision-making within applications and enterprises, with the goal of influencing important growth KPIs.
Given the rapid acceleration of the growth of machine learning and AI, it is imperative for data analysts to be equipped with machine learning skills as they can give you a competitive advantage. To develop your skills, consider enrolling in a Machine Learning Certification Course.
3. Microsoft Excel
For most people, Microsoft Excel may not be what first comes to mind when thinking about the must-have skills data analysts should possess. However, this versatile tool holds a lot more analysis power than meets the eye.
Being well-equipped with Microsoft Excel skills will allow one to arrange raw data in a digestible manner, making actionable insights simpler to extract. The almighty Microsoft Excel allows data analysts to modify fields and functions that automatically perform computations when working with more complicated data. Even with bigger data sets, segmented data may be examined and shown without the need for additional software.
To learn the basics tools and techniques of the tool, you may register for a Master Microsoft Excel Training 2016: Basic to Intermediate course.
4. Statistical programming
Statistical programming languages, such as R Programming or Python, allow you to do complex analyses in ways that Excel do not.
Data analysts must be proficient in a variety of statistical computer languages, including Python and R Programming. These statistical programming languages aid data analysts in their analysis of large data sets by making it more efficient to clean and visualise.
Both of these languages are free and open-source, so it is a good idea to brush up your skills in at least one of the two. If you are looking for professional courses to develop your skills, Aventis Learning Group offers two courses for you to master the concepts of each language – 2-Days Foundation in “R” Programming and 1-Day Introduction To Python Programming for Beginners.
Conclusion
Knowing which skills are essential can advance your career in data analytics. Companies across various industries are actively looking for individuals equipped with these in-demand skills. Thus, in such a competitive market, it is vital to constantly improve your knowledge and skills. One way you can do so is to sign up for a data analytics course in Singapore. For instance, you may consider signing up for a Problem Solving with Data Analytics Course organised by Aventis Learning Group.
Here at Aventis Learning Group, we are a multi-award-winning provider of in-house training and courses in Singapore. Since our establishment in 2008, we have been offering a suite of cutting-edge and up-to-date solutions for working professionals to keep up with the evolving market. Check out our website here for more information or to browse our available courses.
