As the field of data science has become important and relevant to industries, these fields increasingly expect people with the necessary skills and knowledge that can be used to develop new methodologies in the field of data science . data Given that data science has already gained a lot in technology and that the latest methods have opened the way to different and advanced fields, it is obvious that the requirements and expectations of an individual to get a job in this area have been increased.
Recently, industries have updated their people requirements and want an individual to have the skills and knowledge to process the data. Previously, when data science was in its initial stages, the requirements for a job were not that high, but the conditions have completely changed in the current scenario. They are willing to spend a huge amount of money on an individual, but in return, they expect the same type of knowledge and skills. So if you want to be one of those people who work with data, let's take a look at all the opportunities that are growing in the fields of data science.
Work Options
Some job options for someone who is curious about this particular field and who wants to make their way to the industries are:
Data scientist: the type of job title that proudly displays your business card. It is a type of work that a full-fledged person expects, that is, a complete package type of a person who has a great knowledge of the data and knows how to apply the methodologies, respectively. They are highly qualified scientists who can manipulate raw data, analyze it using statistical information and can use knowledge of languages such as Python, R, SQL, Hive, etc. .
Data analyst: when all the data has been organized, implemented and updated according to the underlying algorithms, it's time to extract what it is. In simpler terms, data analysis is done, which is done by the data analyst. They have certain responsibilities, such as creating systems, to enable business people to obtain information to ensure data security in terms of quality and governance. Obtaining information from the data, seeing different trends and finally displaying it in a user-readable format is what a data analyst essentially does.
Data Architect: The value of a data architect is required in the big data field of data science. As Big Data grows, so does the importance of a data architect. The job of a data architect is to create or form a plan or framework for a data management system to incorporate, back up, and preserve various sources of data. The data architect should master technologies such as Hive, SQL, XML, Pig and Spark.
Business Intelligence Professional: Whoever dominates the use of OLAP (online analytical processing) tools, records and searches for historical evidence in data sets is called Business Intelligence Professional. These intelligence professionals are good at visualizing data and include platforms such as Microsoft Power BI, Qlik and Tableau.
Resource Box
Being the field with more rights in the world than in the current scenario and its vast employment possibilities, one can certainly envisage its future in this field. To help you overcome this, the online data science course in Los Angeles is available to provide you with the best knowledge in data science.