Before mentioning the tasks performed by a Data Scientist In an organization, it is essential to know what a data scientist is especially through data scientist training in Hyderabad. A data scientist or Data Scientist could be defined as a statistician who puts this knowledge into practice through software programming to extract the maximum value from the data, either from one source or multiple sources.
These data can be structured, semi-structured or, unstructured. There are other more viral definitions like that of the data scientist Josh Wish who says, “Data Scientist: Person who is better at statistics than a software developer and who is better at software development than any statistician.” Therefore, we see that to be a data scientist, and it is essential to control specific knowledge and skills such as the following:
- Knowledge of techniques and statistical modeling.
- Knowledge of mathematics and linear algebra.
- Software development with Python and R.
- Data visualization skills.
What Jobs Does A Data Scientist Perform?
Now, we know the main competencies that a data scientist needs to perform, but what are these functions? And why are they so important to companies?
Everything revolves around data. One of the great precursors of the proliferation of Data Scientists has been Big Data. The massive exploitation of data has caused more technological profiles to be generated and more specialized. Even companies today are not being able to cover the demand for these new profiles.
Another substantial mitigating factor is being the pandemic since companies are being forced to start digitization processes where, of course, these profiles are needed. This shortage of profiles, added to the new technologies with which they work, means that the salary range can range on average in Spain from 35,000 euros per year to 90,000, even reaching 125,000 dollars in the United States. Therefore, if you are thinking of working as a data scientist, these are some of the tasks that you will have to do:
- Obtaining and collecting data from one to several sources.
- Process and understand the data in the specific business context of the company.
- Development of statistical models, Machine Learning, or Deep Learning, either for predictive analysis, pattern recognition, or process automation.
- Work with the most demanded programming languages today, such as Python, R, and SQL.
- Graphing and visualizing data to understand the relationships of data within a company.
- Know how to communicate the results or analysis to other departments such as marketing or associated with IT.
If the data scientist’s profession is sparking your interest, you may also be wondering how I should train to be able to work as a data scientist. Whether you have a technical profile and already know what it is to work in technology, or if you do not have a technical profile, we will show you some masters you can take based on your profile.
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