The tech industry is focused on leveraging, organizing, and analyzing data, creating promising opportunities for those with data expertise. However, even those less skilled in data management can benefit from the growing number of high-paying data science jobs.
According to Robert Half’s 2024 Tech Salaries and Hiring Trends guide, data science and database management are among the top skills for which salaries are increasing.
To be successful in the field of data science, you should be good in math and computer science in addition to soft skills centered around working constructively as part of a team. And now let’s take a closer look at the most valuable skills to help you excel professionally in data.
Important hard skills for successful career in data science include:
- Subject-matter expertise: Statistics, mathematics, computer science, cloud computing, networking, AI, machine learning, deep learning
- Programming languages: Python, SQL, R, C++
- Platform knowledge: AWS, Azure, Hive
Important soft skills for successful career in data science include:
- Communication
- Critical thinking
- Teamwork
- Curiosity
- Desire to learn
- Business knowledge
- Solution-oriented approach
But how to acquire those skills?
A lot of schools nowadays offer data science programs with classes in computer science, statistics or math. Majoring in data science or pursuing an advanced degree is also a good option.
Bootcamps offer quick and affordable skills development. Online courses are also a good option for those with limited time – platforms such as Coursera, Udemy, LinkedIn Learning and edX offer great variety of data science courses.
Used sources: Fore, Preston. What skills are needed to succeed in data science. https://fortune.com/
