Data science is an interdisciplinary field that provides the methodology to gain insights from structured and unstructured data (including but not limited to Big Data) using approaches ranging from statistical analysis to machine learning.
Here are some examples of data used to get meaningful information:
The main methods of processing this information are mathematical statistics and machine learning. After all, it 's necessary not only to structure the data, but also to identify patterns in accordance with the customer's task.
IT specialists who deal with all of this are called data scientists . Their task is to build a predictive model based on the analysis of processed information. The content of forecasts depends on the tasks set by the customer.
The average user encounters predictive models created by a data scientist when getting the results of the search query from the search engine.
In addition to search algorithms, the results of a data analysis specialist can include the algorithms for:
This list of a data scientist ’s work results is not exhaustive.
Some stages of work of a specialist in this field may differ depending on the specifics of the company , but the main responsibilities are:
Since the main material of a data scientist activity is data arrays, and the main task is to analyze data and develop a predictive model, one of the basic skills is mathematical knowledge (for example, understanding of differentials, derivatives, and matrix determinants) and experience with large amounts of information.
The necessary skills and knowledge include:
A data scientist should also be able to create visual representations of the results of their work.
We have prepared answers to the most common questions about data scientists . If you need more information, just contact us.
1. How do I find a data science specialist?
2. What skills should an experienced Data Scientist have?
3. Is it easy to master Data Science?
4. What is the difference between a Business Analyst and a Data Scientist?