What is the difference between software engineering, data science, and data analytics?

i. Software engineers build apps and the underlying “pipes” for data to flow through. There are many parts of software to work on, hence the greater demand for software roles than data roles.

ii. Data scientists build statistical models to improve products, for example to make spam classifications, product recommendations, or match drivers and riders. Data scientists typically do the math, and software engineers build the product.

iii. Data analysts derive business insights through querying data and generating reports. This is typically a less skill-intensive job that more people can do, hence there is a comparatively lower average compensation and job security than software engineer and data scientist roles.