In today’s world, almost everything is data-driven. Since everyone is always connected, in one way or another, everything can definitely be tracked as well as stored as data. Even the most trivial information such as our restaurant and food preferences or our interests in movies and shows, data about these things are gathered and analyzed. From data regarding water levels, soil moisture down to survey polls and answers, data is becoming the driving force of more modification in technology and the fields affected by it.
Because of this, data scientists have become on-demand. The world is in need of more people who understand data and will translate it in layman’s terms in order for the acquired data to be effective. Believe it or not, becoming a data expert is not impossible. However, there are several skills needed for one to become a legitimate data analyst, interpreter, etc.
But before looking into these necessary skills, let us first talk about what data scientists really do. A “data scientist” is actually just an umbrella term that covers a wide set of different data-related jobs. Some of these specific roles in dealing with data are the following:
The Data Scientists
- Basic Data analyst – you basically analyze and interpret gathered data
- Data engineer – a data analyst who has experience in software engineering, you take care of large stacks of data
- Data Interpreter – you interpret data which will be used to modify the company’s products, statistics may be very useful for this
- Data Scientist team – you join a group of other data scientists to visualize and interpret data
So, as you can see, these different types of data scientists may have overlapping roles. Mainly, data scientists analyze and interpret data in order for companies to make necessary changes. Now, let us move on to the different skills a data scientist should possess.
The Skills and Competencies
- Knowledge of Basic Tools
Regardless of which role you are applying for or what company is hiring you, it is expected that you know the basics of data programs, data analysis software, data analysis language, etc. You must be competent in statistical programs and database queries such as SQL.
- Knowledge of Basic Statistics
When dealing with data, dealing with statistics is inevitable. Statistical programs are the only way to go in order for data experts to understand and translate the digital values into something more meaningful.
- Data Communication
The ability to explain what the graphs imply or what the values mean is very important. Effective communication by choosing the correct words and proper analogy is an important skill. The main goal is to enable your employers and the entire company to understand what the acquired data says.
- Knowledge in Software Engineering
If you are dealing with smaller companies, you might be handling a lot of data logging. So knowledge about how to properly use data loggers and most especially, how to use the software that come with it.