Data Science  vs. Data Engineering

Data science and Data engineering are often used interchangeably, leading to confusion. However, it’s important to clarify that these two fields are distinct and separate domains of expertise.

-Data Science is the practice of using computational methods to derive valuable and actionable insights from raw datasets. 
-Data Engineering, on the other hand, is an engineering domain that’s dedicated to overcoming data-processing bottlenecks and data-handling problems for applications that utilize large volumes, varieties, and velocities of data.


WHAT YOU NEED FOR DATA SCIENCE ?

Data and the need for insights from it are everywhere. Organizations of all sizes are realizing they’re in a competitive, data-driven world where staying afloat means mastering data. This makes data skills essential in almost every business.

So, what does this mean for you? It means our culture has shifted, and you need to keep up. But don’t worry, you don’t have to go back to school for a degree in statistics, computer science, or data science. Like any other industry change, staying relevant just requires some effort and time to learn new skills.

To get started with data science, you can take online courses, explore educational resources, read informative books, and attend events to stay updated. It’s all about continuous learning to stay ahead in the game.