How to become a Data Scientist

A data scientist is responsible for translating raw data into information that solves problems. Using specific tools, a data scientist extracts data from a range of sources, in order to analyse, interpret, and uncover insights.

Data is an incredibly valuable business resource, and organisations are increasingly looking to harness data science to improve their operations. That’s where a data scientist comes in.

 The field of data science is focused on discovering the patterns in raw data and using tools, algorithms, and machine learning to turn that data into valuable business insights. A data scientist sits within this field, with a specific focus on not only gathering the data, but studying it from new angles.

A data scientist’s role will vary depending on the organisation and industry, but can encompass everything from data collection and innovative analysis, to building data modelling software and presenting information using state-of-the-art data visualisation techniques.

Working in data science requires creativity, critical thinking and problem-solving skills. You’ll need to be able to take complex data, analyse it and then explain your findings to your colleagues using clear and straightforward language.