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Tech skills are important for a number of reasons. They can help you work more efficiently, boost your confidence when applying to certain industries, and allow you to negotiate higher pay. Businesses are always on the lookout for applicants that have multiple tools at their disposal.
So what are some of the best tech skills to have in your toolbox? Below is a list of eight tech skills that would make you a valuable asset to any company.
Coding & Programing
Even if you are not applying for a programming job, most employers are more than likely to take an interest in a potential applicant with some coding experience. Being able to code and understand programming languages such as Python will make you stand out in a sea of applicants.
Programming today is not just reserved for developers. IT staff, customer service teams and project managers can benefit from having a basic understanding of code to assist customers and coordinate projects.
Online courses offered by companies like Xccelerate can help you take your coding to the next level. Programming has become such an integral part of everyday life, that coding for kids has become the norm because, by the time they enter the workforce, programming will be a skillset that everybody will need to have in a society increasingly driven by automation and AI.
Read Also: 10 Best Programming Languages That Can Land You A Job in 2020
Big Data Analysis
Big data analysis plays a crucial role in business development; nearly every industry today relies on it. Companies need employees who can organize and interpret the massive amounts of data they collect.
Uses for big data analysis include price optimization, volume considerations, and where key organizational and strategic improvements can be made.
Industries that use big data analysis include insurance, retail, real estate, manufacturing, and technology firms.
Knowing the tools of big data analysis can deliver results that a business can leverage, which is why so many employers value this technical skill.
Read Also: EXCEL VS. PYTHON FOR DATA ANALYSIS
Cloud Computing
Cloud computing is about infrastructure. It’s about understanding how to work with different network enterprises.
Nearly every major business uses online networks to store, manage and process data.
The three major cloud platforms are AWS, Azure, and Google. There is a high demand for people that specialize in these niche programs, making it one of the top 10 highest paying IT jobs of 2020.
Social Media Management & Digital marketing
Many companies consult social media to research products and service their business demands. Social media provides a wealth of information about who the customers are and what they want, but determining the most effective way to harness this information can be difficult.
Adding phrases like “social media experience” in your resume is no longer enough to capture the attention of employers. You must explain your experience with certain media platforms such as Facebook, and Instagram in a way that quantifies your results.
If you are looking for jobs in public relations, marketing and web development, list skills that are specific to that position, such as blogging, digital photography, and web analytics. Build a portfolio showcasing your creative talent to stand out among the competition.
Read Also: CODING FOR DIGITAL MARKETERS AND WHY YOU SHOULD LEARN IT
Project Management
Project management is critical for all technical projects because it means having leadership abilities, delegating tasks, and scheduling appropriately to ensure all deadlines are met.
Skills in project management include budget planning, quality control, engineering, and task management. Having the ability to coordinate resources, people and budget is a valuable skill that is required in every industry from digital design to construction.
Getting a project management role after graduating from a university can be difficult, but any potential employer will still recognize the importance of having the skills listed above.
Technical Writing
Every job today involves written communication, whether it’s to send emails or explain complex things in a way that is easy to understand. Many businesses rely on email marketing to reach their customers.
A technical writer has the ability to do all those things. They send messages to clients, manufacturers or write web content, manuals, and press releases. Writing today goes much further than just using a word processor. In today’s digital world, writers have to be multi-skilled.
Companies always look for candidates who can jump right in on the first day of work. That means finding people that are good at writing, web design, and search engine optimization. Having these skills as a technical writer will make you a valued candidate.
Machine Learning
If you have a background in a specific field such as finance, healthcare or agriculture, learning machine learning could be to your benefit. One of the big disadvantages of the people who spearhead machine learning initiatives is that they lack the domain knowledge of the industry they work for, so they end up overfitting the data.
Most of your efforts will go into data cleaning and feature engineering. Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work.
In order to be successful in machine learning, you have to have a solid background in math such as elements of calculus, linear algebra, statistics and a decent grasp of programming knowledge.
Read Also: FOUR LESSONS I LEARNED DURING A DATA SCIENCE AND MACHINE LEARNING BOOTCAMP
Data Scientists
Data science is used for a wide variety of industries such as retail and healthcare. Amazon uses data collection to remember what you’ve purchased. It uses that data to influence our purchasing habits. Wearing trackers that can alert people about critical health issues and motivate people to adopt healthier lifestyles.
With cloud technology in high use, a need for data scientists has risen. While data scientists do perform data analysis, the majority of the time will be devoted to searching, cleaning and reorganizing large data sets.
As it stands the most in-demand tech skills a data scientist can have is knowing coding languages such as Python, SQL, and R along with data visualization software such as Tableau. A strong background in statistics and communication is equally important.
Read Also: HOW TO BECOME A DATA SCIENTIST IN HONG KONG
Conclusion
The present and the future will belong to multi-skilled people that can do many different things. Don’t get discouraged because of that. Pick up a skill that relates to something you already know, and learn it thoroughly. Then find another skill and so on. Eventually, you will accumulate enough skills that will make you stand out from your peers.
So what are you waiting for? Find an Xccelerate course that fits your needs, and get started today!
Read Also: Top 10 Python libraries for Data Science 2020
If you are at a choice point in your career and need someone to help you navigate professional challenges. You can make an appointment to our free 1-on-1 Career Consultation and receive personalised career advice.
