When we think about the past few years, there is one concept that we often hear, even if it has just come into our lives, data. Data is stolen, data scandals are experienced, not a day goes by that we talk about metadata and big data. Yes, we hear it all the time because data is as valuable as gold to today’s world. This is how the profession of data scientist, also known as data analyst, was born that we could not even imagine a few years ago.

The name data scientist actually makes it pretty clear what this profession does. Regardless of the industry, the size of the company, the data scientist receives and analyzes data about the company and the customer, and most importantly, determines the path the company should follow for the future. Increasing in popularity and will continue to increase for many years to come. What is a data scientist and what does he do? and most importantly, how to be, let’s examine it in all details.

Let’s start with the basics, what is a data scientist?

data scientist; received from customers in exchange for a company, campaign or project of a company in any industry. analyze data and it is the employee who determines the necessary strategies for the company’s next step. Although the data analyst and the data scientist are similar, the data scientist differs from the data analyst in drawing the future strategy.

As we explained in detail in our article here before, data has always existed in our lives, although not in the sense we know today. in the 21st century data has now become numerical values ​​that are digitally recorded. While technological systems help us analyze this data, a data scientist is needed to make an analysis by including numerous variables.

What does a data scientist do?

Let’s explain with an example; Regardless of which industry it serves, a company has launched an advertising campaign about its new product. Images of this ad have been published on websites and some feedback has been received. So we have a full numerical value. Is the ad successful or unsuccessful? This is where the data scientist comes in.

The data scientist receives the relevant data and adapts it to the objectives of the company. begins to investigate. The ad caught the attention of which gender, which age group, which profession; Which groups of people interested in the ad bought the product, which gave positive or negative feedback, and most importantly, should the ad stay that way or should changes be made in line with the company’s goals?

Now that we all more or less know the world of digital advertising, we gave such an example. Because the job in this example is actually one of the easiest jobs for a data scientist. No matter what industry you are in today, All small or large companies obtain data in one way or another about the work they do, and this data has to be analyzed and planned in some way.

What are the duties of a data scientist?

• It collects data through methods such as conducting surveys, monitoring visitor traffic, and purchasing data sets.
• It ensures accurate results by cleaning up raw data that may contain errors and outliers.
• It creates a database to determine how data is collected and stored.
• By interpreting data, it identifies certain patterns and trends.
• It presents all these analyzes to the managers using visualizations.
• It also makes future predictions during the presentation.

Popular tools used by data scientists:

• Microsoft Excel
• Google Sheets
• SQL
• tableau
• R or Python
• SAS
• Microsoft PowerBI
• Jupyter Notebooks

These are the most popular tools, apps, and programming languages ​​used by data scientists. These are, of course, only the most popular. According to the industry in which the data scientist works and the data he analyzes There are many more tools available. The main thing is to optimize the process during the analysis and ensure that the results are unquestioned.

Large data sets can be easily processed with database tools, much more complex systems can be set up with programming languages, Analysis presentations can be visualized with graphical applications. In other words, by using such tools, the data scientist can optimize the processes of collecting data, analyzing data and presenting analysis results.

Qualities a data scientist should have:

• Must have a good understanding of the problem
• need to think critically
• The focus must be clear
• Must have good oral and written communication
• Must have knowledge of the industry he works in
• Must closely monitor data technologies and their own industry

All these features are actually like puzzle pieces. Have high technical skills but lack problem solving skills, thinks critically but cannot explain this to their colleagues and managers, The analyzes that someone who does not know the intricacies of the sector in which he works or is not aware of the innovations will do as a data scientist are not very healthy.

Where does a data scientist work?

• Health care sector
• financial sector
• Enterprises
• jurisdiction
• scientific organizations
• medical world
• government offices

In fact, it wouldn’t be wrong to say that a good data scientist works everywhere, especially in today’s world. There is no sector left without data. Someone has to analyze the data in question and decode those complex tables. Of course, the person doing this must be a competent data scientist.

Let’s get to the main topic: how to become a data scientist, which section to read to become a data scientist?

The indispensable qualities and skills of a data scientist, which we have explained in detail above, cannot get you a school. Because, First of all, you have to be prepared yourself. You need to find the industry that interests you, follow the developments, learn programming languages ​​that will be useful to you and take lessons about the applications you will use in the analysis process.

Of course, that doesn’t mean you don’t have to go to university. You must have a bachelor’s degree. Most data scientists have degrees in mathematics, statistics and economics. Because when we look at these areas, we see that data analysis is the foundation of all these areas. After you learn the basics, it’s up to you to improve yourself.

It is becoming more popular by the day and is accepted as the profession of the future. what is a data scientist, what does he do, how does he become? We’ve talked about the details you need to know about the profession by answering frequently asked questions. You can share your thoughts on the topic in the comments.