A data scientist is someone who systematically organizes the large volume of raw data in any given field. This individual will then analyze the entire specifics to process it according to the needs and present it in such a way that helps solve a problem. The overall objective here is to improve the business prospects for the stakeholders. Though each field differs in their requirements the basic role of the data scientist remains the same.
What does the role demand?
This particular role demands skill in various fields such as computer science, mathematical, analytical, and statistical skills. Today, there are unlimited raw data available from various sources. A skilled scientist should be able to analyze and compile them into a useful form for the field they work in.
In order to identify and use the information in the right manner, all these skills would be necessary for the various stages of this analysis. Here are the major stages of data analysis by scientists.
- Research: The primary stage is doing the research on the specified details and identifying which is relevant and what to ignore. This step could be termed data mining which literally means to dig deeper to find the best and relevant input.
Once the relevant details are identified, the next step is to acquire it. The information is scattered and it needs to be collected, cleaned, and duly and specifically stored according to the requirements. This will help with the next stage of data analysis.
- Analysis: The analytical stage involves several processes where the scientist will have to use the information and implement the algorithms and other skills. From the collected details, the scientist must identify the scope and methodology to transform it into the specific model for usage by the business. The ultimate aim is to make use of the data in a beneficial way. So, this analysis and integration of input into a workable model is an important step.
- Design: The final stage is where the collected facts and figures undergo processing to make it suitable for the final implementation for the business. It is processed and designed in such a way to present the best model. Prior to its presentation, the analytics specialist must evaluate the results and review them properly. Once presented the scientist would then collect feedback from the stakeholders to change it to the best version for the field. Though this stage is not exactly about any design, the data scientist is responsible for the model making and its final output. This role demands the application of the various techniques learned by the individual and the right usage of the same at the key areas.
How to qualify for this role?
Anyone who has a basic knowledge of computers can learn the field and be a data analytics specialist. Even if there is no formal education in computer science, there are various degrees and certifications courses available to qualify for the role.
One can enroll for any data scientist course to polish the skills and qualify for the role.
The role of a data scientist is performing the processes in repetitive mode but the overall work specifics changes according to the requirements and feedback. The role also calls for good communication skills and a creative mind to present the data in the form of compelling storytelling. This is a great career opportunity at this juncture since everything revolves around the abundant data available and utilizing them into a useful model is a real skill. If you are planning to fit into this role, start developing, polishing, and practicing your skills now!
Also Read: How to Become Data Scientist