摘要: Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.

 


Skills required for a data scientist

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From the media to articles to job postings to the words of top leaders of big companies, the term that seems to be everywhere is "data science". The buzz is real. So, if you are familiar with technology and/or interested in learning new things about technology, then you have likely pondered this: What is data science? How does one become a data scientist? Well, the answers will be given right here.

Data science is a field that deals with the extraction of meaningful insights which include usage, trends, customer behaviour, etc. from raw data by using complex tools and algorithms, machine learning processes, mathematics, statistics, and other similar areas. The use of data science for business these days is massive. Businesses are using data science technology to maximize profits, establish their companies as superior to others, make their businesses cost-effective, and also making smart business decisions. Therefore, data science for business is a blessing as data scientists are always making smart and meaningful decisions when it comes to business goals.

The roles and responsibilities of a data scientist are immense and vary from one area to another to the point that one may get confused: what exactly does a data scientist do? Is he or she a mathematician or a statistician or a computer engineer? Let's see the roles and responsibilities of a data scientist or the things that are expected of data scientists.

Identify and figure out data analysis based problems and see how they can have a direct impact on the clients and their requirements.

Collecting, cleansing and transforming and thus processing both structured and unstructured data from many different sources.

Looking for patterns in data models and finding out the opportunities and solutions that are required for the growth of the company, and also solving the problems that are faced by the company.

Data scientist jobs include storytelling capabilities, meaning that they should be able to explain their theories and concepts to the stakeholders in a way that is understandable by them.

So, clearly, taking data based decisions and advising the management team is one of the major data scientist responsibilities. Now, there are some major skill sets that are required in order to become a data scientist. As the data scientist's responsibilities are many, so are the skills for qualifying as data scientist. We are about to discuss some of them.

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