INTRODUCTION: To do justice to many topics, it has to be broken down, its pieces pulled together, and thereafter coined to make meaningful sense. This is what this piece hopes to do. Root of the compound word are the words “Data” and “Science.”
DEFINITION OF TERMS: Data is defined as facts or information used usually to calculate, analyze, or plan something (Merriam-Webster Dictionary). Science is seen as knowledge about or study of the natural world on facts learned through experiment and observation (Merriam-Webster Dictionary).
Coining the two definitions, Data science is the knowledge or perhaps study of facts and information used to calculate, analyze, or plan something, through facts learned from experiment and observation. Oh what a simple definition!
In more professional terms, Data Science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data (Wikipedia).
Hence, it’d be right to say that a Data Scientist is an individual who uses scientific methods, processes, algorithms and systems to get knowledge and insights from structured and unstructured data. This individual is skilled in deriving meaning from and interpreting data, which will of course require tools and methods from statistics and machine learning.
BECOMING A GOOD DATA SCIENTIST: You would inarguably agree that becoming a Data Scientist takes more of learning skills that are in alignment with this field, the most popular route being getting certified from an institution. However, becoming a good Data Scientist doesn’t stop within the four corners of a citadel of learning. So, after becoming a good Data Scientist, do well to CONSISTENTLY improve on yourself, to become one hell of a Data Scientist, and not just another Data Scientist.
Generally, one can follow the flow of one or all of the following, in order to become a Good Data Scientist:
1.) Pursue and earn a Bachelor’s degree in Mathematics, Computer Science, Physics, Information Technology, or any other related field.
2.) Pursue and earn a Master’s degree in Data or related field.
3.) Learn a Sill in Data or a related field.
4.) Gain first-hand experience in a field of Data, or a related field.