Getting hired for a tech job is not the easiest thing to do. Although there's undoubtedly a significant shortage of tech specialists in America, it doesn't make the playing field less competitive. That's why you need to play your cards right and go for those skills that will be highly in-demand in the next couple of years. Here we've compiled a list of the most sought-after skills in the industry based on multiple online reports including Indeed Hiring Lab.
Machine learning, which falls under the artificial intelligence umbrella, is a powerful skill that is expected to change several industries including drug development and the stock market. This technology involves programming a computer to learn by itself without human intervention. Through different programming practices, a machine learning engineer can make a machine identify objects, patterns, and anomalies in datasets.
Since there's no designated bachelor's degree for machine learning, people who want to become machine learning engineers need to opt for a computer science degree, bootcamps, or self-learning. However, don’t worry, because there are some great machine learning bootcamps out there, such as the ones offered by Galvanize. At the school, you'll learn the fundamentals of mathematics and statistics, as well as programming languages like Python, among others.
Data science is the ability to study data to get meaningful insights to solve problems, identify phenomenons or errors. Data scientists are some of the leading tech professionals today, and this trend will only continue to grow. Companies that don't have the help of a data scientist are at risk of falling behind in their marketing strategies and business decisions. So this could give you an idea of how essential this skill is for every company.
Now, if you'd like to become a data scientist, you'll need to have some mathematical knowledge, as well as statistical and analytical thinking. There are some outstanding schools out there that can help you become a certified data scientist. Springboard's data science program, for instance, will introduce you to the most crucial aspects of machine learning, such as data filtering, data analysis, and even data visualization, among other relevant subjects.
Software engineering is another fundamental tool for companies to optimize their operations. When there are repetitive and redundant tasks, a software engineer could create a solution that helps smoothen and quicken the process. On top of that, they are responsible for creating, maintaining, and updating software. That's why a software engineer is usually a long-term position.
With the evolution of big data, the need for cloud engineers has also grown. Companies no longer rely on large rooms to hide and save their databases; they're using cloud systems that are more secure and accessible. Cloud engineers are the ones responsible for building and maintaining these systems to ensure they remain efficient and safe from potential threats.
To become a cloud engineer, you need to understand platforms such as Microsoft Azure or Amazon Web Services (AWS). In order to pursue this career, you need to get a certification that validates your proficiency in any of these platforms. Some of the best AWS bootcamps** **out there are the ones from Coding Dojo or Code Fellows. Both schools provide students with flexible payment methods and schedules.
This is the era of data; almost everything relies on it. Therefore, digital products and platforms must be created in a way that they're able to have efficient data systems. SQL is the coding language that is used to create and maintain database programs. This skill is especially important for data scientists or other professionals who work with databases and data-driven systems. If you want to get some examples of real-life situations when you use SQL-driven platforms, just think about technology or devices that depend entirely on their data systems like news platforms and Amazon’s virtual assistant, Alexa.
SQL is a programming language, so there are some basic courses where you can learn this skill. such as General Assembly's beginners SQL bootcamp. In this course, you'll learn everything you need to know to master this skill in a short period of time.
As mentioned, data is everything these days, so it's no surprise to hear that companies want to keep it as safe as possible. If fallen into wrong hands, datasets that contain a lot of sensitive information could jeopardize the actual safety of the masses and put businesses in a bad financial state. Therefore, it has become imperative for most organizations to hire cybersecurity engineers to keep their data safe. After all, a criminal cyberattack could become a company's worst nightmare. A cybersecurity engineer is a professional who creates policies and systems to protect data.
Flatiron School's cybersecurity bootcamp could help you understand all the processes involved in the creation of cybersecurity policies and systems. In this course, you'll be trained by cybersecurity veterans and you'll have one of the best labs in America for your practices.
Python is a very in-demand tech skill these days and will continue to be so in the next couple of years. It is a programming language used by data scientists and machine learning engineers, among others. If you're new to tech terminology and know nothing about coding, Python can be the best first language you learn because it is easy and straightforward to use. The syntax is simple and some even say it's similar to writing in English.
If you want to dive into this skill, you can take a look at some of the best Python bootcamps out there, such as the ones from Coding Dojo or Code Fellows.
We'll send you 100+ of the most common coding interview questions, once a day with visual explanations. Join over 25,323 users who are doubling their salaries in 30 minutes a day.
Welcome to the most accessible guide to technical interviews. AlgoDaily was created to be a gentle, visual introduction to patterns around solving data structures and algorithms challenges.
We believe that technical interviews are a matter of practicing well. We've referenced hundreds of resources on habit change, education design, and algorithms to design the best and most streamlined learning experience.