From Fortune:

The demand for data-related jobs is growing quickly, with projections showing “strong” job growth by 2031. Data scientists, for example, are expected to grow by 36%, compared to the 5% average for all occupations. Additionally, data-related occupations had a median annual wage above the overall occupation median in 2022.

Data science and data analytics are both in high demand. Data science focuses on using and applying data to solve real-world problems, as well as estimating unknown phenomena and predicting future events. On the other hand, data analytics uses historical data to identify trends and articulate the implications of those trends.

Both data science and data analytics are similar and are critical components of decision-making from a business perspective. Skills in statistics, mathematics, and computer science are important for both, but data science requires deeper knowledge of things like statistics, machine learning, coding, experimentation, and predictive modeling, while data analytics focuses on basic data management, statistics, and data visualization techniques and technologies. Both are essential in solving major problems in today’s world.



Read more: What is the difference between data science and data analytics?