If you want to become a Data Scientist , you need training that will help you gain the skills to develop this job. Thanks to our Master in Business Analytics & AI , you will be able to obtain, analyze and use data to improve a company's numbers .
What is a Data Scientist?
If you're wondering what a Data Scientist is, they are experts in data science. In other words, someone who can rationally interpret data for later use . A figure who has many points in common with the Chief Data Officer .
Data science is an evolution of data analysis. Based on the bc data indonesia scientific method, this discipline does not only consist of analyzing data from a single source. A Data Scientist searches, explores and analyzes data collected from various sources . It feeds on Big Data. In this case, the material that this professional works with is of very different origins and formats, so his training and skills must go beyond this.
Among his skills is a broad business vision that allows him to extract and transmit recommendations to business managers in the company where he works.
What does a Data Scientist do?
Nowadays, companies have a large amount of information that comes from different sources. This data, when well used, can be crucial in the future of the organization. A Data Scientist has the objective of analyzing and making sense of all this information . We should not confuse what a data scientist does with the Data Manager , who has some functions that differentiate him.
Through the work of a data scientist, user behavior can be predicted or even new business opportunities can be discovered.
The role of a Data Scientist is to provide valuable information that is extracted directly from the data they collect.
Data Scientist Functions
Not all organizations will have the same tasks as data scientists, but there are some common features that are repeated in different companies:
Data extraction . It is essential for the Data Scientist to extract information from different sources in order to process it.
Data cleaning . Data comes with a lot of noise that needs to be removed to make it usable and processable. Data scientists need to know how to remove all the things that could distort the results they need.
Data processing . Once the Data Scientist has the data prepared, it is time to process it by applying statistics, analytical software, predictive models, etc. This task is crucial to obtain results in this task.
Data visualization . In order for everyone to be able to use and understand data clearly, a Data Science expert must be able to represent it in a way that is understandable.
What does it take to be a Data Scientist?
It is important for a data scientist to have a symbiosis of technical knowledge such as mathematics, statistics, programming and personal skills such as intellectual curiosity, effective communication and, of course, good business knowledge.
These technical knowledge and skills are required if a person is interested in working in this role:
A study profile related to computer engineering, mathematics or statistics is required .
Programming knowledge in various languages such as SQL, Python or R.
Knowledge of Machine Learning.
SQL database training .
Be able to develop statistical techniques such as modeling , clustering, predictive analysis or data visualization.
And of course, have knowledge of Big Data tools such as Hadoop or Spark.
In the case of soft skills, a good Data Scientist will need to develop certain skills such as:
