Top Technologies To Learn

Top Technologies To Learn for a Relocation Job

You’re about to relocate, and you want to make the right impression on your new company. While it is important to focus on how much experience you have in a particular industry or field, top employers will also be looking at what skills you have that are relevant to your needs.

In this blog post, we’ll explore top technologies that are worth learning before relocation.

Cloud Computing

Gartner predicts that 80% of companies will adopt cloud computing by 2020, which includes both public and private clouds.

Machine Learning & Artificial Intelligence (AI)

As AI begins to play a bigger role in society, it’s not surprising top roles focus on machine learning or artificial intelligence-based projects.

Artificial intelligence is already being used to make surface-level improvements across a variety of industries – with machine learning helping to make sense of massive data sets by automatically identifying patterns within them.

Big Data Analytics

According to McKinsey Global Institute, data is growing at an exponential rate, with 90 percent of the world’s data created within the last two years – making big data analytics one of the top technologies worth learning for your next job. Mobile Apps Development With mobile apps dominating user behavior across all devices, this makes mobile app development skills a top priority for any company looking to integrate into their business model. Robotics Robots are becoming increasingly popular in the tech industry; top companies like Apple, Google and Samsung are all investing in robotics projects.

Virtual Reality

Virtual reality will continue its rapid growth into 2018, continuing from 2017’s impressive progress – making VR development skills another top priority for any company looking for cutting-edge talent this year.

Mobile App Development

With mobile apps dominating user attention and top talent in the mobile space already hard to come by, companies will be looking for top-notch developers who can create natively compiled apps that run on all major platforms.

Data Science

Data science is a relatively new buzzword (and industry) – but it’s quickly becoming one of the most important skills any company needs to possess moving forward. With data scientists capable of turning huge amounts of unstructured data into actionable insights, this skill should continue climbing high up on hiring managers’ wish lists throughout 2018.

Python

Python has been considered “the programming language of the future” since its introduction back in 1989. However, while many other languages have seen growth spurts over time – python didn’t start making significant gains until recently. Because of this, it can be difficult to find top-notch python developers – but the good news is that those who know the language are well worth their weight in gold (and probably make up for any problems with salary).

Python is known as an extremely versatile language, which makes it ideal for data science purposes; however, its flexibility also allows companies to implement other programming languages alongside native Python scripts/programs. This has led many top tech companies like Google and IBM to begin teaching new employees how to write code in Python before allowing them access to more complex technologies like Java or C++ (both of which were previously considered industry standards).