These skills, in addition to a growth mindset, can help you fill the skills gap and create more job opportunities for yourself. With rapid digitalization, technical skills such as digital skills and data analytics are becoming increasingly important.
And with the further development of the digital landscape, the qualification requirements are also increasing.
Hence, it is crucial to have basic digital skills and ongoing technical skills to keep up with the latest developments.
Regardless of your industry, these are some of the most common technical skills employers look for and tips on how to acquire them.
Digital Marketing or Social Marketing
Marketing teams use data collected through digital channels to determine campaign performance and develop new strategies. And the skills required to create such marketing campaigns and strategies. Technologies like keyword optimization, social media marketing, and improving user experience and engagement can help with this.
Coding isn’t just for tech professionals, many roles require coding skills these days, including compliance and risk management, digital marketing, and quality assurance.
Coding changes the way you see the world and teaches you logical problem-solving skills.
It can take a lot of time and resources up front, but you can learn the basics of coding relatively quickly and apply them to your work. Java, SQL, Python, and Ruby are some good programming languages to learn.
Most companies are moving from traditional infrastructure to the cloud to work remotely, improve collaboration and connectivity, and increase data security.
Cloud computing products have enabled us to work seamlessly from anywhere, anytime in the world, with some cloud services geared towards unique business needs and operations being agile and adaptable
Experts for navigating various cloud systems are considered to be more suitable for work because they have an attitude of enthusiasm for learning.
AI and machine learning (ML) can help you deliver more relevant, personalized, and innovative products and services. Daunting at first, but you don’t have to learn the technical aspects of AI development.
What you need to know is how using AI and machine learning would affect your work.
Chatbots, for example, often use AI and ML to improve their conversations and save costs in the long term.
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