DATA SCIENCE 101: Data Analyst, Data Engineer, and Data Scientist

In recent times, Data Science is growing at an astonishing rate. As the amount of data produced by companies is getting out of hand, the demand for Data Science professionals is growing faster than ever. That explains why Data Scientist is referred to as the sexiest job of the 21st century. 

If you are interested in pursuing a career in data science, that can either be Data Scientist, Data Analyst, or Data Engineer. 

Distinguishing Data Analyst, Data Engineer and Data Scientist

Data Analyst

This is often known as the “entry-level” in Data Science. A data analyst’s job includes interpreting, analyzing, and transforming data into usable forms like presentations and reports. The result will be used to help businesses thoroughly understand their data and make better decisions. 

Data Engineer

Data engineers’ main responsibilities are setting up data pipelines, building and maintaining the infrastructure that stores data, and also monitoring the performance of these systems. This position requires advanced programming and software development skills. 

Data Scientist

Data Scientists’ major role is to manage and analyze vast amounts of data, both structured and unstructured, to crack complex data problems, as well as building models to make future predictions for your business. A data scientist must possess a combination of expertise, such as Statistics, Maths, Computer Science, and Business Analytics.

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