Best programming skills should have in 2019

Tech is changing quickly. It’s creating a new demand for programming skills as businesses face the option of updating older technology or hiring talent with disappearing skills. With the number of tech positions in web development, biomedical engineering, cybersecurity, and analysis expected to grow exponentially within the next year, one may find the competition to acquire a skilled job candidate harder than they think.

There are some skills that companies are hunting for right now, and each has thousands of new job opportunities posted every month. The future of work will be very different. Irrespective of your job, it will become important to learn some latest skills that will help to enrich your computational thinking.

With 2019 approaching, you might already have some plans to add to your skill set. Why not make a New Year’s resolution to learn new programming skills?

So, from strong communication skills and adaptability to experience with the latest technologies, here are several skill-sets expected to be in high demand in 2019.

Let’s see -

Blockchain technology

Blockchain is a technology that will undoubtedly have a huge impact on the construction of the next generation of the Internet. It can already be said that the solution has revolutionized the contemporary world and will continue to inspire further changes. The block technology wants to embrace more and more enterprises that will invest in tools for implementing blockchain-based databases. Therefore, in 2019, the demand for blockchain programmers will be still on the increase. Thanks to cryptographic algorithms coding, they will be able to create software that allows creating distributed and decentralized databases. Certainly, the knowledge of technologies such as C ++, JavaScript, Python or Solidity will still be helpful.

Learn languages

Python

Python is commonly used in scientific computing, data mining, and machine learning. It's the fastest-growing programming language, and Stack Overflow predicts that by 2019, Python will significantly outstrip other languages in terms of active developers. Python grew in popularity by about 5,000 job postings between 2017 and 2018.

Java

Java is used by millions of developers and billions of devices worldwide. Java is the official language of Android development, and 90% of Fortune 500 companies use Java as a server-side language for back-end development.

R programming

R programming is also in demand because of machine learning. There's a hard competition between Python and R. R programming is also useful in Data Science for data handling.

JavaScript

JavaScript is used by more than 80% of developers and by 95% of all websites for any dynamic logic on their pages. Several front-end frameworks for JavaScript, like React and AngularJS, will be increasingly used as an Internet of Things (IoT) devices become more popular, so it's unlikely that the language will drop in popularity any time soon.

Fintech industry

Fintech is the industry that brings together the world of finance with the world of technology. Innovative solutions are adopted to improve various financial services, such as online payments, currency exchange or taking a loan. The global investments in enterprises in the field of Fintech will have exceeded 46 billion dollars by 2020. It’s easy to guess that as an area directly related to finance, it may also generate huge profits. Fintech may be a competition for traditional banks, but this is not the only option. The more optimistic option assumes that FinTech companies will be open for cooperation.

AI and Machine Learning

In the last 5 years, you can find out how the slogan “machine learning” has been gaining popularity by taking a look at the analysis of the results available in Google Trends. Machine Learning is a concept from the field of artificial intelligence, which means algorithms that process and learn from collected data. Machine Learning is used in marketing to match relevant ads based on a user’s search results. They are also used in applications with functions such as a face, speech or text recognition, navigation, recommendation systems and many more. While working in Machine Learning, it is almost essential to be familiarised with numerical methods, linear algebra, probability, and mathematical statistics, as well as libraries such as NumPy or SciPy. The programming languages ​​most commonly used are Python and R, the first of which is definitely more popular. Companies have the greatest need for qualified specialists with knowledge in the field of machine learning.

Knowledge of big data Hadoop

There was a time when Hadoop captured a sizable chunk of the big data market and is still a relevant platform for data storage. According to an industry prediction, the Hadoop market will grow to $40 billion by 2021 and this will require skills to develop, manage and administer Hadoop implementations. You can deep dive into Hadoop ecosystem and also understand the various tools with their functionalities.

AWS Certification

In the era of cloud, enterprises and businesses are racing to develop use cases that depend on cloud platforms and one such cloud computing platform, AWS has cornered a global market share of 40 percent. And IT professionals who want to learn about AWS to maximize their company ’s cloud environment and avoid skills gaps can get hands-on aws training and learn about the core areas such as Elastic Compute Cloud (EC2), database services, storage services and master the concepts of IaaS and PaaS with this instructor-led, classroom certification.

Digital Marketing Analytics

With every business going digital, business owners look for digital marketers who can understand their customer data, derive insights from analytics and create a compelling digital strategy and measure the ROI achieved against the KPIs. There is a need to go beyond the metrics and numbers and understand key topics such as website optimization and social media analytics.

Knowledge of Cybersecurity

Given the recent infiltration of networks, there will be an increased need for knowledge in cybersecurity. Organizations need to ensure they are protecting the data they capture behind the walls of their networks. Stakeholders are becoming increasingly aware of cybersecurity concerns and therefore demanding companies address the issue. The tech industry will need expertise in this area in 2019.

SQL

Modern websites and programs rely on huge databases to hold their information. SQL enables you to query that data and extra, modify, and use it. Essentially, SQL ferries the data between the front-end computers and the back-end databases. Retrieving and using data is essential for large websites such as Facebook, LinkedIn, Google, and Twitter, and for a lot of smaller websites too.

Skills for AR Apps

In the last few years, a number of companies produce hardware and software features to support augmented reality and machine learning. The people with the skills to envision, design, and develop applications that take advantage of these new chips and APIs will be in high demand.

Mobile Apps Development

Mobile application developers will continue to be in high demand, just as they have been the past few years. The demand will get greater in 2019, though, and successful app developers should be fluent in multiple programming languages, including Java, HTML5, Objective-C, C++, C#, Python and Swift. Also, app developers with UX and UI design skills can offer much more value for project management.

Cloud computing

IT professionals with skills in cloud computing and software as a service (SaaS) will be the hot ticket in 2019. Virtualization skills in Amazon AWS, Microsoft Hyper-V and VMware for private cloud hosting will, without a doubt, help you stand out from the crowd. Experience with DevOps, containers, the entire cloud stack, and IPv6 will also benefit your chances for a top job tremendously.

Problem-solving

“2018 Developer Skills Report”, prepared by the HackerRank portal, reveals that the most desired skill in a development, from an employers perspective, is the problem-solving ability. Solving problems is an inseparable part of a programmer’s everyday work. If a developer possesses such a skill, the gaps in the knowledge of a given technology or programming language will be quickly filled. The key element while working in IT is to identify and understand a problem, and then break it down into smaller tasks so that as many tasks as possible can be solved. Analyzing the development of technologies such as the above-mentioned blockchain and artificial intelligence, you can notice how dynamically the IT market is evolving and changing. This means that programmers will face increasingly difficult and complex tasks which have never been encountered before. So, it's necessary to have an innovative and creative mind that will help to face and resolve the situation.

 

Programmers must be able to communicate clearly, report progress accurately, raise issues promptly, and generally be a good team player.  In today's ultra-competitive environment, a programmer's soft-skills are now almost as important as the hard skills.

Technologies are useful and you need to learn them, but in the end, they’re just tools. Programming languages come and go, web frameworks come and go: what matters is what you choose to build with them.

Don’t learn a technology, learn more fundamental skills.

So, figure out the real problems and why something needs to be done. That's it. These skills will serve you this year, and next year and every year after that.

You can share your experiences with us in the comment section. Thank you!

 

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