TECHNOLOGY
Top 5 marketable tech careers in 2022
We use technology more than ever these days to connect with friends and family, keep up with the latest and greatest events in the world, and sometimes just to pass the time.
In fact, most careers have only been relegated to the rise of technology. Find out what makes these tech careers marketable.
The top 10 currently marketable tech careers are:
# 1. Science and data analysis
Salary means of scientific data: US $ 94,280 a year
Average Salary for Data Analysts : $ 61,111 / year
Data science and data analytics are two of the most sought after and marketable tech careers. It is a field that requires statistics, quantitative reasoning, and computer programming skills.
Also, you need to be a good communicator to be able to report your search results and explain how they address a larger question that you are trying to answer.
Science and data analysis use various scientific methods and algorithms to synthesize data and provide useful information. Again, data science includes specialties like data mining and machine learning.
Employers increasingly recognize the value of professionals with this expertise. So today you will find scientists and data analysts working in a wide range of organizations, including tech startups, government agencies, large corporations, and research institutes.
Where to learn it:
# 2. Software development
Average Salary: $ 107,510 / year
Software development is one of the most sought after technology careers available in today’s market.
The best software developers are creative and have the technical skills to carry out innovative ideas. As a software developer, you should be familiar with various computer languages, such as C ++, Python, Java, PHP, XML, HTML / JavaScript / CSS, and Unix Shell Scripting.
A bachelor’s degree in software engineering, computer science, information technology, or other relevant specializations is often required. Additionally, a software developer must be able to work in a team environment.
This is because they work closely with computer programmers and systems engineers. Again, they must be able to convey technical information in language understandable to non-technical people.
Also, to have a career in software development, you must be a good communicator.
Where to learn it:
- High-level software development courses
- Free Online Software Development Courses with Certificates
- Increase your software development skills
# 3. Artificial intelligence and machine learning
Median salary per AI specialist: $ 132,453 per year
Average Salary for a Machine Learning Engineer: $ 138K +
Artificial intelligence is a technology that allows a machine to simulate human behavior . While AI is the broader science for mimicking human abilities, machine learning is a specific subset of AI that teaches a machine how to learn.
To become a specialist in artificial intelligence, you must have strong skills in computer programming , expert math skills, knowledge of cloud applications and computer languages, excellent communication skills and certifications as analysis and machine learning.
AI specialist hiring growth has grown 74% annually over the past 4 years. In fact, AI majors can benefit from a variety of tech careers, from software engineers to data scientists to product managers.
On the other hand, machine learning is one of the most innovative and exciting fields moving into the future, making it one of the most marketable tech careers today. For example, Siri, Alexa, chatbots, and predictive analytics for autonomous vehicles.
49% of companies are exploring or planning to use machine learning. In fact, Netflix uses machine learning to offer recommendations to its users.
Where to learn it:
- MicroMasters artificial intelligence program at edX
- Machine Learning on Coursera
- Learn the basics of machine learning at Codecademy
# 4. Engineering and data visualization
Median salary per AI specialist: $ 91,459 per year
Average Salary for Data Visualization Engineers: $ 98,264 / year
Of course, this is different from science and data analysis. Data engineers create the infrastructure and tools that data scientists trust to do their jobs.
On the other hand, data visualization is a way to help people understand the meaning of data by placing it in a visual context. Hence this career as a bridge between technical and non-technical roles.
Where to learn it:
- Introduction to Google Cloud Platform for Data Engineers on Udemy
- View data with Python in Codecademy
- Data visualization for everyone in edX
# 5. Cloud computing
Average salary for cloud computing professionals: $ 146,350
The most in-demand cloud computing skills are Amazon Web Services (AWS), Java, Linux, software development, DevOps, Docker, and Infrastructure as a Service (IaaS).
In fact, cloud computing jobs are on the rise as more and more companies move from classic server infrastructure to cloud solutions.
Cloud architects appear to oversee the company’s cloud computing strategy and are responsible for deploying, managing, and supporting cloud applications.
On the other hand, DevOps practices encourage faster code implementation with fewer implementation errors, which is why more companies are hiring engineers with DevOps experience. This is to oversee the development of coding, scripts, and processes.
Amazon Web Services is currently the largest cloud platform.
Where to learn it:
- Amazon Web Services (AWS) basics for system administrators in Pluralsight
- Cloud Computing Specialization at Coursera

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