I have been studying data science for three years now and I have learned that it encompasses a lot of specialities within the field, which is why data scientists can be so well paid.
Data science combines maths and statistics, specialised programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organisation’s data. These insights can be used to guide decision making and strategic planning.
The accelerating volume of data sources, and subsequently data, has made data science one of the fastest growing fields across every industry. Organisations are increasingly reliant on data scientists to interpret data and provide actionable recommendations to improve business outcomes.
A data scientist project typically involves three stages, being:-
- Data ingestion: The life cycle begins with the data collection — both raw structured and unstructured data from all relevant sources using a variety of methods. including manual entry, web scraping, and real-time streaming data from systems and devices. Data sources can include structured data, such as customer data, along with unstructured data like log files, video, audio, pictures, the Internet of Things (IoT), social media…