Jobs available in data science

What is data science?

Data science is a field in which scientific methods, algorithms, systems and more are used. These systems are known to extract all knowledge and data to create a structured data and design. Data science is related to data mining, machine learning and big data.

Why should one learn data science?

Living in a digital world it is vital to have a good understanding of the growing technology. Data science plays a role in business, accounting, education and so much more. The opportunities that build are able to show the world greater heights and lengths. These skills don’t necessarily have to be used at a complex and intense level. Having a basic understanding of data science will assure security for personal uses as well as life decisions. For example, it can help when managing your finances. Data science is a career with a wide scope because it’s a basic need. These skills can have you explore various fields and decide which is right for you. As a growing world, the opportunities won’t stop. There will be much more to explore and that which will be launched.

How many data scientists are present in the world today?

Based on statistical data collected by slash data, there are over 12 million program developers around the world who specifically use data science. As the world is becoming technologically inclined these numbers have been increasing at a great rate. Not just the number but also the opportunities. Various sectors have opened to this programming language based on the sophistication and complexity.

Career paths in data science?

1. Data science analyst: This career is responsible for various tasks such as minging, processing and visualisation a huge amount of data. You would also need to check the queries that come through on the database. One of the most important tasks and skills is being able to create and modify the algorithms which are collected through big databases without any corruptions.
2. Data engineers: Data engineers are required to create and test the various data ecosystems which are based specifically for businesses. It’s important to run the database and make sure everything is running smoothly with no form of trouble. They also have the responsibility of updating all the versions to ensure efficiency.
3. Database administrator: This job will carry the responsibility of a functioning database. If there are any more requests or problems approached by clients it would be your job to resolve it. It also carries the task of database backups and recoveries.
4. Data architect: A data architect is a job where you would need to create blueprints for the data management teams to ensure that the data is integrated and protected with the most efficient security measures. They also make sure that all the data engineers are working with the best tools and systems possible.
5. Statistician: This job creates an understanding where there are statistical theories and data organization. They are valuable to the firm as it offers valuable insights from the data cluster that will help engineers build and apply the data.