Being a Data Scientist is a position of great esteem. It is held in high regards, the sky-high pay is also one of the reasons that makes it so in demand. However, there is a scarcity in the number of data scientists available in the nation. If you are planning to make a career out of Data Science, then read on.
Starting with the fundamentals, one has to have the knowledge of Algebraic functions and matrices. Along with this, relational algebra, binary tree and hash functions are to be learned. Other topics are inclusive of Business Intelligence vs. Reporting vs. Analytics. Extract Trans form Load (ETL) is also included in the fundamentals category.
Then comes statistics, this includes the Bayes theorem, probability theorem, outliers and percentiles, exploratory analysis of the data, random variables and CDF (Cumulative Distribution Function), and skewness. Other fundamentals of statistics are also included here.
In case of Programming, the essential languages to be learned are ‘Python’ and ‘R’.