Data science is a multi-disciplinary field that uses statistics, scientific methods and algorithms to extract knowledge and insights from data. A data scientist, should follow the data mining implementation process, in other words, understand the business, understand the data, prepare the data, perform the modelling, evaluate the results and then deploy. Unlike many people think the most crucial and time demanding part of the process is to understand the business and then the data. The most important skills for a data scientist to have are: statistics, python coding, machine learning, SQL database, intellectual curiosity, business acumen and communication skills.
Personally, I have started learning statistics from a very young age with a Statistics A-Level obtaining an A. At the university while I was pursuing my bachelor degree in Physics I had a lab work in all the 3 years where I had to perform data analysis achieving a first class mark in all the three years. In addition, I have been using machine learning algorithms using sci-kit learn python package to address multiple issues with the large dataset I was using for my PhD. During my MSc Computer Science degree I had taken a Database module which included a project with SQL scoring 66%. As I describe in the interest section I like reading the news and this helped me to understand the economic globalisation.