There is no denying that Data Science is one of the most lucrative fields in the world today. Data Scientists are continuously involved in solving real-world problems with the help of advanced data analytics/science. They are helping the decision makers make better decisions based on a methodical analysis of data. As many terabytes of data are being added every day, the need for data scientists is on the rise. If you are interested in making a career in the field of data science, the following are a few skills you need to be a data scientist.
To be a Data Scientist the first thing you need is mastery over statistical and mathematical concepts. Data science is all about analysis and the most important part of data science job is to know which statistical test to run and how to interpret the result. So, if you want to be a data scientist start learning multivariate calculus and linear algebra (if you don’t already know).
Data Scientists also need to know the programming language. Most data scientists use either R or Python to code in order to extract, clean and analyze large datasets. Moreover, these programming languages offer to build in statistical software packages to perform any type of tests on the datasets making it slightly easier to them.
Data Science is all about being an expert; be it in the techniques used in data science or the industry you are working in. To be able to extract any meaningful information from the data you need a proper understanding of the industry you’re working in. Your domain expertise will be complemented by your technical expertise.
Data is growing at an exponential rate and it is very important for data scientists to understand the process of data processing as part of their core responsibilities.
And last but not the least, curiosity. To be able to answer questions from the given dataset is one thing but to be a data scientist you need the ability to ask the right questions and then find answers to those questions from the given data using various techniques. To be a successful data scientist, you need to curious, and if you are curious to know more about data science, send an e-mail.