A data scientist is a person who extrapolates and shares insights and helps the organization to solve problems that combine computer science, statistics, analytics, and mathematics skills. The data scientist has to uncover the answers to all major questions that can help organizations to make objective decisions.
Education
Data scientists are educated highly have at least a master’s degree and some have Ph.D. There are some notable exceptions, a person with a very strong educational background is usually required to develop the knowledge which is necessary to be a data scientist in depth. If you want to become a data scientist you should at least have a bachelor’s degree in computer science, social science, and statistics are the most common fields. The study to become a data scientist is mathematics and statistics followed by computer science and engineering. If you have a degree in any of these courses you are ready to process and analyze big data.
Python coding
Python is known as the most common language of coding; typically it is required in data scientist roles with C, C++, Java, or Perl. Python is said to be a great language for data scientists and it is said that the use of python is a major programming language. Python coding is so versatile that you can use it for almost all the steps which are involved in data science processes. It may take a few formats of data and you can easily import SQL tables into your code. This also allows you to create data sets and you can find any type of dataset you need on Google.
Machine learning and AI
Maximum number of a data scientist are not aware and proficient in machine learning areas and the techniques this includes reinforcement learning adversarial learning and many more if you are a person who is looking for or a career option as a data scientist then you should have proficient in machine learning areas and techniques to stand out from other data scientist available in the market the given skills will help the data scientist to solve different data science problems which are based on predictions of outcomes. Data science needs the application of skills in different areas of machine learning. According a survey it is revealed that a small percentage of data professionals are aware of Advanced machine learning skills.
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Data visualization
The world of business produces a vast amount of data that needs to be translated into a format that can be easily understandable. Naturally, people understand pictures in the form of charts and graphs other than available raw materials. As we all know a picture says thousands of words. Being a data scientist you should be able to visualize data. Some tools help the data scientist to convert complex results in an easy format. It is understood that there are a lot of people who do not understand a few things. For them, we need to visually represent the data in your results.
Unstructured data
It is very critical that a data scientist should be able to work with unstructured data. This kind of data is undefined and does not fit into database tables, for example, videos, customer reviews, video with audio, etc. And there are also heavy texts which are lumped together. It is a very difficult job to sort this type of data because they are not streamlined. Unstructured data is also referred to as dark analytics because it is very complex walking with unstructured data will help the data scientist to and level insides which can be useful for decision making as a data scientist you should have the ability to understand and manipulate the unstructured data from different platforms.
Communication skills
As we already know that communication skills are necessary for almost every career option, you should have good communication skills to do effective Communications. Most companies are searching for a strong data scientist who can translate their technical findings to a non-technical team like marketing and the sales department. The data scientist must enable the business to make decisions that are quantified inside and understand the needs of their non-technical colleagues.
Teamwork
It is well known that teamwork is the most efficient way to complete any task. Similarly, a data scientist can not work alone as a data scientist. You have to work with Team as a company executive to develop strategies and with the designers to create better products. The data scientists have to work with everyone in the organization including the customers.
By: Varsha Yadav
Also Read: 7 Skills To Required Become A Data Scientist
