Top 10 Tech Skills in Demand

The article lists the 10 most in demand tech skills including Machine Learning, cloud computing, Blockchain, and Data Science that technology professionals must learn for the upcoming years.

We all know that change is the only constant. Regardless of your profession and designation, you must adapt to the constant changes taking place at your workplace. You must learn new job skills throughout your work life to keep up with workplace changes, grow your career, and boost career opportunities.

What are the most demanded 10 technological skills to Master in the market? 

Let's, learn about Top 10 hottest technical skills to learn in 2022/2023 and onwards. Below is the Top 10 Trending Technical Skills in demand: 

1. Machine Learning

2. Mobile App Development 

3. SEO/SEM Marketing

4. Data Visualization
5. Data Engineering
6. UI/UX Design
7. Cyber-security
8. Cloud Computing/AWS
9. Blockchain
10. IOT

1. Machine Learning

Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior.

Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

Advantages of Machine learning

a. Easily identifies trends and patterns

Machine Learning can review large volumes of data and discover specific trends and patterns that would not be apparent to humans. For instance, for an e-commerce website like Amazon, it serves to understand the browsing behaviors and purchase histories of its users to help cater to the right products, deals, and reminders relevant to them. It uses the results to reveal relevant advertisements to them.

b. No human intervention needed (automation)

With ML, you don’t need to babysit your project every step of the way. Since it means giving machines the ability to learn, it lets them make predictions and also improve the algorithms on their own. A common example of this is anti-virus softwares; they learn to filter new threats as they are recognized. ML is also good at recognizing spam.

c. Continuous Improvement

As ML algorithms gain experience, they keep improving in accuracy and efficiency. This lets them make better decisions. Say you need to make a weather forecast model. As the amount of data you have keeps growing, your algorithms learn to make more accurate predictions faster.

d. Handling multi-dimensional and multi-variety data

Machine Learning algorithms are good at handling data that are multi-dimensional and multi-variety, and they can do this in dynamic or uncertain environments.

5. Wide Applications

You could be an e-tailer or a healthcare provider and make ML work for you. Where it does apply, it holds the capability to help deliver a much more personal experience to customers while also targeting the right customers.

2. Mobile App Development

Mobile app development is the act or process by which a mobile app is developed for mobile devices, such as personal digital assistants, enterprise digital assistants or mobile phones. These software applications are designed to run on mobile devices, such as a smartphone or tablet computer. These applications can be pre-installed on phones during manufacturing platforms, or delivered as web applications using server-side or client-side processing (e.g., JavaScript) to provide an "application-like" experience within a web browser. Application software developers also must consider a long array of screen sizes, hardware specifications, and configurations because of intense competition in mobile software and changes within each of the platforms. Mobile app development has been steadily growing, in revenues and jobs created. A 2013 analyst report estimates there are 529,000 direct app economy jobs within the EU then 28 members (including the UK), 60 percent of which are mobile app developers.

Advantages of Mobile App Development

Improved UI. 

Apps tailored specifically to the system they run on will invariably outperform experiences that are developed to run through the web

Target more users. 

A significant percentage of users now prefer conducting business through mobile apps. This is particularly true of younger demographics and represents a consistently growing target audience

Direct access to your users. 

An app offers an opportunity to connect with users without going through a third party social media platform or being subject to filters

Mobile platform feature sets. 

Device features such as the camera, sensors, and payment methods are easily accessed by native mobile applications to improve the user experience

Operating system features.

Full access to OS features such as push notifications means a large number of options are open for directly promoting services and events

Offline access. 

The ability to access various areas of functionality without access to the web makes the experience feel more consistent and reliable to users

Create stickiness. 

Embedding your branding and services in the user’s pocket is a great way to stay connected and forge a more lasting relationship. Having your brand on the device improves visibility and access, particularly in comparison to the web experience

3. SEO/SEM Marketing

Search engine marketing (SEM) is a form of Internet marketing that involves the promotion of websites by increasing their visibility in search engine results pages (SERPs) primarily through paid advertising. SEM may incorporate search engine optimization (SEO), which adjusts or rewrites website content and site architecture to achieve a higher ranking in search engine results pages to enhance pay per click (PPC) listings and increase the Call to action (CTA) on the website. 

Advantages of SEO/SEM Marketing

1. Spreads Brand Awareness

The paid ads used with search engine marketing can help your brand cut through the noise of competition. Whether it’s the headline or URL link, these types of ads can leave a lasting impression when it comes to customer’s impression of your brand.

When combined with other forms of brand awareness it can slowly or quickly put you on your target audiences’ radar. 

2. Fast Visibility

Creating visibility through organic SEO takes time and energy. Search engine marketing on the other hand provides almost instantaneous results. Your ad is placed in front of your potential customer as soon as they search for you. This makes it an ideal short-term strategy for quickly creating visibility for your products, service, or organization.

3. Can Target Ads Based on Location

Another big plus associated with SEM is that you can set up your ads to only target people near the vicinity of your business. This helps you filter out searchers who are too far from your location.

It also helps connect you with people in your area. Local audiences are eager to find businesses in their area. Maybe that’s why search results for ‘near me’ and ‘where to buy’ queries have grown by 200% on Google over the past two years.

4. Simple Management

Another attractive benefit of search engine marketing is simplicity. Platforms like Google Ads make it easy to both create and manage any ads that you use through the service.

For example, you can create schedules for different ads, allowing them to run or stop for however long your budget allows. This type of scheduling makes sure that you get the most out of your ads before deciding to end them.

5. Easy to Target the Audience You Want

As we mentioned, search engine marketing allows you to target users that live in a certain location near your business. However, this isn’t the only way that SEM can help put you in front of your ideal audience. Different age groups, races, and socioeconomic groups use different keyword searches.

As such, utilizing the keywords in your ads can help put you in touch with the customers more likely to engage with your brand. For example, let’s say you want your ad to target a young, Gen Z audience. You can find out what keywords they’re searching for, then target them with relevant content.

6. Increases Traffic to Your Website

The ads for your website are often the first thing that users see when they search for relevant interests. If your ad copy is effective, then this can drive traffic to your website.

This is especially helpful if you’ve been having trouble generating traffic organically through SEO. If utilized properly, the paid advertisements will help supplement traffic until you begin to generate it more naturally on your own.

7. Allows You to Measure Your Performance

Measuring the effectiveness of ad campaigns in real life is often a difficult and costly experience. They require things like surveys, focus groups, and similar metrics. Luckily SEM platforms like Google Ads give you instant access to information like top-performing keywords, impressions, and click-through rates.

This is one of the best advantages of SEM over traditional advertisements. These tools allow you to measure the performance of your ads. If you notice that one ad does better than another, then you can quickly adjust your strategy and run more effective search engine ads.

4. Data Visualization

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for employees or business owners to present data to non-technical audiences without confusion.

In the world of Big Data, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.

Advantages of Data Visualization

Our eyes are drawn to colors and patterns. We can quickly identify red from blue, and squares from circles. Our culture is visual, including everything from art and advertisements to TV and movies. Data visualization is another form of visual art that grabs our interest and keeps our eyes on the message. When we see a chart, we quickly see trends and outliers. If we can see something, we internalize it quickly. It’s storytelling with a purpose. If you’ve ever stared at a massive spreadsheet of data and couldn’t see a trend, you know how much more effective a visualization can be.

Some other advantages of data visualization include:

• Easily sharing information.
• Interactively explore opportunities.
• Visualize patterns and relationships.

5. Data Engineering

As we move into 2023 data engineering is becoming an increasingly popular and important field. According to a report, the global big data and data engineering services market is expected to grow to USD 77.37 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.6%. This is largely due to the development of new technologies and the increasing complexity of data.

Data engineering is responsible for the design, implementation, and maintenance of data processing systems. They work with large amounts of data and are responsible for ensuring that it is stored correctly, accessed efficiently, and used effectively.

Data engineering is a process used to extract, transform, and load data for further use. In other words, data engineers collect data from various sources, then convert it into a format that can be analyzed and understood by data scientists. The goal of data engineering is to make data accessible, reliable, and consistent for data scientists so they can focus on their analyses.

Advantages of Data Engineering

a. Increased productivity

b. Greater insights

c. Better decision-making

d. Improved customer experience

e. Greater competitive advantage

f. Leveraging organizations to become more data-driven

g. Improved data quality

h. Cost-effective

i. Improved business efficiency

j. Improved Data Protection

k. Improved accuracy of predictions

l. Improved use of big data

m. Improved quality of life for people

n. Create new jobs

6. UI/UX Design

UX (user experience) is how customers feel when shopping for or using products. Users experience great UX when shopping. They also find product usage convenient and enjoyable. Prime examples of great user experience design are Amazon and Apple. These sites have prioritized excellent designs to offer quality products, customer engagement, and convenient shopping.

User interface (UI) design is the overall graphical layout of your website or application. It is designed with features like buttons, images, content, text entry fields, sliders, and more. Other interactive features to your UI include transitions, screen layout, animations, etc. A highly responsive interface should have attractive color schemes, appealing button shapes, animations, and other visual and interactive elements to improve its aesthetics.

Advantages of UI/UX Design 

a. Retain Users for a Long Time 

b. Boosts Branding 

c. Attracts New Customers on the Platform 

d. Increases Productivity 

e. Increases Conversion Rates of Your Platform 

f. Helps in Search Engine Optimization

g. Reduces Costs 

h. Best Experience for All Devices 

i. Improved Website Speed 

j. Interaction Acknowledgement 

k. Improves Customer Satisfaction 

l. Save Time and Money 

m. Get Your Competitor's Customers

7. Cyber-security

Beginning with the obvious, cybersecurity training makes your business more secure. Making your team at large aware of the many threats that exist – from data breaches to ransomware – will keep them from making simple mistakes that could threaten the safety of your organization.

Advantages of Cyber Security 

a. Time and Money saved 

b. Empowering Your Workforce 

c. Retain Customer's Trust 

d. Prevent Data Breach 

e. Increases Security Measures 

f. Protects Personal Information 

g. Protects and Enhances Productivity 

h. Cut the risk of Destructive Human Error

8. Cloud Computing/AWS

Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. Large clouds often have functions distributed over multiple locations, each of which is a data center.

9. Blockchain

Blockchain.com is a cryptocurrency financial services company. The company began as the first Bitcoin blockchain explorer in 2011 and later created a cryptocurrency wallet that accounted for 28% of bitcoin transactions between 2012 and 2020.

10. IOT

The Internet of things describes physical objects with sensors, processing ability, software, and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks.