Eight skills you need to be a data scientist
Think you have the chops to be a data scientist? Well, if you can master these 8 crucial skills, you’re well on your way.
Data science is now one of the leading pillars of science to dive into. Since the technology world is fast growing, science data flourishes, too. This is because data is stored in great amounts in computers. It is the work of data scientists to decipher and interpret this data into usable parts. What does it really take to be a good data expert? Here are some of the eight skills you must possess.
This is very essential in the world of data science if you want potential clients lining up. Learning how to convey an idea to many people in any form will be one of the best weapons you have. Data science requires you to interpret data and show clients the meaning in a simple, yet most beautiful way.
It also means you need to have picked up a great deal of experience in school. This is because data science is actually very technical. You will have to be correct every time to avoid misinterpretation of data. The skills taught in school will help a person flourish in data science.
Different Coding Language Mastery
A person must have mastery over coding languages; multiple languages is a plus. This will mean that you can be very versatile. Sometimes, clients will present you with programs and many other things that are contained in other languages. This is one of the best skills to have.
The ability to work with various types of data
SQL, NoSQL, Hadoop; these are just some types that govern the coding world of data. However, one must also learn to deal with unstructured data.
Interest and Perseverance
Considered as a skill rather than a characteristic in most places, being motivated will get you more productive. A true scientist will never back down from a fight. Because of that, nothing will ever stump a data scientist dead in his tracks.
The ability to find the best solution in every situation
Sometimes, the client wants a task to be done; however, it does not actually target the needs of his company. A good scientist knows how to incorporate the needs and wants of clients in one go. This way, he or she can also make things much easier for him or her to interpret or work on. A data scientist works diligently; a great scientist works diligently and smart.
Much to the horror of the public, a scientist knows how to do his or her math. They should know statistics like the back of their hands. Calculus, algebra and other mathematics subjects take shape in the heart of data science.
Programming AI to learn by themselves
You will need this to minimize all the work you have to do. Some companies handle insane amounts of data. The only way to make it fast is to make a machine learn; this also requires engineering software knowledge to make things convenient. Chances are you will not have a single client, you’ll have multiple. It must be up to the machines to do some of the redundant work.