We live in a digital age and produce enormous data daily. More data generation will direct the need to store that data, which itself was a huge challenge for global companies until 2010. After the storage problem was solved, a need was felt to process the data, and this is where Data Science comes into play.
Data Science involves the blend of various tools, algorithms and Machine Learning principles with the motive of discovering hidden patterns from the raw data. A Data Scientist will do the exploratory analysis of the data as well as identify the occurrence of a particular event in the future by using various advanced Machine Learning.
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Who Is A Data Scientist, And What Do They Do?
In simpler terms, Data Scientist Is the one who practices the art of Data Science. A Data Scientist will draw a lot of information from the scientific fields and applications, whether it is mathematics or statistics. The primary expertise of a Data Scientist is that he/she can crack complex problems and work with several elements related to computer science, mathematics and statistics.
Data Scientist presents data in a useful and valuable way compared to the raw data and helps find conclusions that are crucial for an organization's development and growth.
Listed below are some of the technical and non-technical skills that one must possess to become a Data Scientist.
Technical Skills
R Programming
R programming is specifically designed to meet the needs of Data Science. Whenever you encounter a problem in Data Science, you can take the help of R to solve it.
Python Coding
Needless to say that Python is the most common and easy programming language to learn, and Python Coding is an excellent programming language for anyone who wants to make a career in Data Science. The language is so versatile that it can take various formats of data and easily import SQL tables.
SQL Database/Coding
Anyone who wishes to become a Data Scientist should possess the knowledge to write and execute complex queries in SQL. Structured Query Language is a programming language that helps you add, create and extract data from a database. If you want to become a Data Scientist, you need to be proficient in SQL.
Non Technical Skills
Intellectual Curiosity
Curiosity is defined as the desire to acquire knowledge about a particular topic. To become a Data Scientist, you need to always ask questions about the data and study it from every angle to find answers.
Communication Skills
As a Data Scientist, you would have a lot of knowledge about your technical findings, but you need to communicate these findings to a non-technical team which requires you to have great communication skills. Most businesses are not interested in knowing how you found the insights; they just want to know how the insights will positively benefit the company.
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