17 high demand career skills to acquire in 2023

• Published date: 11 January 2023
• Publication title: Nigeria - The Nation

As the world is fast transmogrifying into a tech-driven world, people are looking for hands-on IT skills to do to earn extra income.

Here are 17 high-demand career skills to acquire in 2023:

Business Analysis - Business analysis is a professional discipline focused on identifying business needs and determining solutions to business problems.

AR - Augmented reality (AR) is an interactive experience that combines the real world and computer-generated content. The content can span multiple sensory modalities, including visual, auditory, haptic, somatosensory and olfactory.[1] AR can be defined as a system that incorporates three basic features: a combination of real and virtual worlds, real-time interaction, and accurate 3D registration of virtual and real objects.

Blockchain - Blockchain technology is an advanced database mechanism that allows transparent information sharing within a business network. A blockchain database stores data in blocks that are linked together in a chain.

Cybersecurity - Computer security, cybersecurity (cyber security), or information technology security (IT security) is the protection of computer systems and networks from attack by malicious actors that may result in unauthorized information disclosure, theft of, or damage to hardware, software, or data, as well as from the disruption or misdirection of the services they provide.

Read Also: Bridging digital skills acquisition gap

Cloud Computing - Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the users.

Data science - Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured and unstructured data.

Data Analytics - Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment.

DevOps - DevOps is a set of practices that combines software...