The benefits of honing technical skills go far beyond the Information Technology industry. Strong tech skills are essential in today’s changing world, and if your employees consistently and proactively enhance their IT skills, you will help them improve both personally and professionally. This, in turn, will help your business grow.
The most amazing thing about the tech industry is that it has lots and lots of opportunities with very few skilled people meaning the ratio of jobs to the available problem solvers is very high with all these being said let’s dive in.
Top tech skills in Nigeria.
Mobile App Development.
Mobile application development is the set of processes and procedures involved in writing software for small, wireless computing devices including phones. Like Web application development, mobile application development has its roots in more traditional software development. One critical difference, however, is that Mobile apps are often written specifically to take advantage of the unique features a particular mobile device offers.
Web Development and Design.
A web developer or programmer is someone who takes a web design – which has been created by either a client or a design team – and turns it into a website. They do this by writing lines and lines of complicated code, using a variety of languages at times a CMS (Content Management System). Web developers have quite a difficult job, because they essentially have to take a language we understand, such as English, and translate it into a language that a computer understands, such as Python or HTML.
SEO / SEM (Search Engine Optimization or Search Engine Marketing).
Search optimization is an essential marketing strategy for brands trying to attract attention, drive website traffic, and grow their business. But search optimization can be a difficult strategy to manage if you don’t know how to compare SEM vs. SEO
Major difference between SEO and SEM.
- SEM, which uses PAID strategies to appear in search
- SEO, which uses ORGANIC strategies to appear in search
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
UX designers are primarily concerned with how the product feels. A given design problem has no single right answer. UX designers explore many different approaches to solving a specific user problem. The broad responsibility of a UX designer is to ensure that the product logically flows from one step to the next.
Unlike UX designers who are concerned with the overall feel of the product, user interface designers are particular about how the product is laid out. They are in charge of designing each screen or page with which a user interacts and ensuring that the UI visually communicates the path that a UX designer has laid out.
Computer security, cybersecurity or information technology security is the protection of computer systems and networks from the theft of or damage to their hardware, software, or electronic data, as well as from the disruption or misdirection of the services they provide.
If you have been following banking, investing, or cryptocurrencies over the last couple of years, you might be familiar with blockchain.
The blockchain is a simple yet ingenious way of passing information from A to B in a fully automated and safe manner. One party to a transaction initiates the process by creating a block. This block is verified by thousands, perhaps millions of computers distributed around the net.
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processingapplication software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
Cloud computing is the delivery of on-demand computing services — from applications to storage and processing power — typically over the internet and on a pay-as-you-go basis.