Last Updated on by Kumar Raja

Basic & Advanced Skills for Data Scientists to Master in 2021

The advancements in Data Science are happening at a rapid pace and it has become mandatory for budding Data Scientists to develop skills in advanced concepts like Machine Learning, Artificial Intelligence, Deep Learning and TenosrFlow. Remember that many Data Scientists begin their careers as Data Analysts and overtime they will be up-skilling as their experience grows.

Data Scientists have a median annual salary of $143, 500 and more when it comes to careers in Artificial Intelligence. Machine Learning Engineers and AI Specialists are among the best-paid jobs in the field. The job of an AI architect and Machine Learning Engineers are among the most in-demand job roles in this field. As Data Science grows, there are several ways to prepare for the future by learning about it and how to add value and our Data Science Training in Hyderabad program can help[ you in this regard.

Basic0020Skills Requirements of a Data Scientist:

Data Scientists must have a solid understanding of mathematics and statistics in order to analyze data, which requires knowledge of statistical models. Data scientists need to know how to manipulate data in addition to knowing how to manipulate them, and also have to be familiar with sophisticated statistical modeling software such as SQL databases and Hadoop platforms. The most important programming languages for analytics and data mining in data science are R, SAS, Python and SQL, but knowledge of Java, C, C + +, Perl and Ruby is also valuable for data scientists.

Simply put, the task of Data Scientists is to analyze data in order to obtain actionable insights. They spend a lot of time collecting, cleaning and blurring data, data that has never been cleaned before. Data Scientists know how to extract and interpret meaning from data, which requires tools and methods such as Statistics, Programming and Machine Learning.  

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