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Top 10 Technical Skills Sets 2019

  • SkillRary SR
  • May 30, 2019
  • 0 comment(s)




Technology is a broad field, and there are a lot of interesting directions you can go in. According to market research from McKinsey, nearly one-third of US workers will need to find new jobs by 2030 to keep up themselves to rapid advancements in the field of technology. Owing to these advancements, the workers will have to constantly update themselves to new skills


Global tech major IBM chief Ginni Rometty says Indians lack the required skill sets even as new age jobs galore and exhorted all to look at education beyond obtaining or giving away degrees. She also adds that this is a global problem and not just limited to Indian shores.


There have been reports that nearly three-fourths of the millions of engineers and B-school graduates are simply not employable at all, speaking volumes about the quality of both the academics as well as the admission process in the country's education systems.


According to private economic think tank CMIE data, as of February, there was as many as 31.2 million youths actively looking for jobs. This is in a country where over 60% of the 1.35 billion population is under 35 years of age.


The analysis from networking site LinkedIn, 2019’s employers are looking for a combination of both hard and soft skills, with creativity topping the list of desired attributes. The findings chime with the World Economic Forum’s Future of The jobs report, which concluded that “human” skills like originality, initiative and critical thinking is likely to increase in value as technology and automation advances.


Here is a list of the top 10 most anticipated Skill-sets required to keep up with today’s age-old technological advancements.



Machine learning is one of the most innovative and exciting fields moving into the future, making it one of the most profitable skills you can learn. From Siri and Alexa to chatbots to predictive analysis to self-driving cars, there are a ton of uses for this futuristic tech.


Machine learning can be applied to every industry, including healthcare, education, finance, etc. Translation? The possibilities are endless, and you can apply your machine learning skills to a role that suits your personality and interests.



In 2019, it's estimated that there will be over 2.5 billion smartphones users in the world. This means that companies who want to stay relevant don't just need websites; they need apps. Having mobile development skills also comes with the perk that if you can build apps for others, you can build and sell your own as well–so it's an ideal career path for aspiring entrepreneurs.


One an interesting direction that mobile apps are headed in is augmented reality. Apps like Pokémon Go and the upcoming Harry Potter: Wizards Unite game engage with the real world, blending technology and reality.



Originally devised for the digital currency Bitcoin, blockchain has evolved. The tech community is now finding other potential uses for the technology, such as peer-to-peer payments, crowdfunding, file storage, identity management, digital voting, etc.


Some of the blockchain skills you should know include networking, cryptography computing, database design, and programming languages ranging from Java, JavaScript, and C++ to Go, Solidity, and Python.


Between late 2017-late 2018, demand for blockchain engineers increased by 400 percent. Tech giants like Facebook, Amazon, IBM, and Microsoft are working on blockchain to increase their optimization.



Data visualization is a way to help people understand the significance of data by placing it in a visual context (turn spreadsheets or reports into charts and graphs that can be easily understood).


Think of this career as a bridge between technical and non-technical roles. You're taking the data collected by analysts and transforming it into a form anyone can understand. It’s in demand because employers can make sense of large amounts of data to drive real business results. For example, predict sales volume, understand what factors influence human behavior, identify areas in the business that can be improved, identify trends, relationships, patterns, etc.



Data engineering is separate from data science, but the former is what enables the latter to exist. Data engineers build the infrastructure and tools that data scientists rely on to conduct their own work.


In some ways, data engineering is more closely related to software engineering than to other data roles. Growth of data engineering roles has historically outpaced growth for data scientist jobs.



While they're in the same family, UI and UX are different. UI (user interface) specialists design interfaces for websites and apps to be visually appealing, flow well and be easy for users to navigate. UX (user experience) specialists do a lot of research and testing to consider every element of how the user will interact with the company and website, coordinating with developers and UI designers.


This type of career is perfect for those who want a creative-meets-analytical type of role (graphic design meets A/B testing and so on).


Ultimately, UI is better for those who want to focus on the visuals, layout, and general look and feel of a page or product. UX is better for those who want to use analysis and testing to help a business seamlessly meet their users' needs.



For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount.


When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from. 2017 had its fair share of cybersecurity disasters and companies famously hacked in the past include Sony, LinkedIn, Chipotle, and others.


These situations underscore just how critical it is for companies to keep their network security up to par, and make cybersecurity one of the most-needed jobs and one of the tech skills in demand in 2019. Unfortunately for those companies, right now there is a shortage of people trained in network security. Fortunately for you, that means there's a gap in the market you can fill.



Cloud computing jobs are on the rise because more and more companies are switching from the classical server infrastructure to cloud solutions. According to Gartner, the market for public cloud services is projected to grow by 17.3 3% in 2019.


Amazon Web Services is one of these cloud platforms, featuring content delivery, database storage, networking, and moreover 50 services in total. Since it is currently the biggest platform, we’ll highlight some specific facts about AWS in this section (and give an extra course recommendation for it!).


AWS specialists are usually engineers, cloud architects, or system administrators. IT professionals who are AWS-certified earn more than their non-certified counterparts. It's one of the most profitable skills an IT employee can learn to level up their tech career, as AWS specialists earn an average of $113,000.



AI is rapidly changing the landscape of work, making it an exciting time for programmers looking for something new.


There is a crossover with machine learning here, but the key difference is that AI is a broader concept pertaining to machines designed to act intelligently like humans, whereas machine learning relies on devices making sense of a specific set of data.


In 2018, 31% of businesses said implementing AI was on their agenda for the next 12 months. Their top use cases are incorporating AI in data analysis and user experience.



In the broadest sense, the term IoT encompasses everything connected to the internet, but it is increasingly being used to define objects that “talk” to each other.


Simply put, the Internet of Things is made up of devices—from simple sensors to smartphones and wearable’s—connected together. Everything that's connected to the internet can be hacked, which is why security is one top concern with these devices. A report from Samsung says the need to secure every connected device by 2020 is “critical” and that more than 7.3 billion devices will need to be made secure by their manufacturers before 2020. Cyber security professionals who specialize in IoT will likely be highly sought after for this reason.

(Above information is taken from


Having mentioned all of these beneficial technical skills which will enhance your way to a successful new tech career in 2019 and beyond. Now it comes down to your preference where you can select the best suited for your personality and interests- the one that makes you stand out above the crowd.



As Melinda Gates rightly quotes “To be successful, every single one of us has to learn new skills- not just once, but throughout our careers.”


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