Data is the key for every business nowadays. The amount of data nowadays is huge. For handling, this data modern-day techniques are needed. For handling this data with the help of modern-day techniques data science is used. Data science helps to analyze these data and find unseen patterns, make meaningful information, and make business decisions. There is a lifecycle for data science. The cycle includes:
In the first stage, data is collected and entered. Data extraction is also done in the capture process. Data warehousing is done in Maintain process. The processing of data and data architecture is also done in this stage. In the process, the stage mining of data, classification data, etc is done. This is helpful in predictive analysis. The next stage is to analyze. In this stage different type of analysis is done on the data. This is the most important stage of data science. At last, the communication is done. The reporting of data, visualization process, and decision-making are all part of the last stage.
The persons who determine the problems before collecting data and also determine the correct set of data and assist through the data science life cycle are termed data scientists. Data scientists find out the trends of data using their technological skills and skills in social science. They also help in finding solutions to business challenges using their knowledge in the industry, contextual understanding, and rationalism in existing assumptions.
Skills Required for a Data Scientist
It is a great opportunity for youngsters to start a career in data science. The need for data scientists is rising day by day. Businesses are looking for efficient and skilled data scientists. There are a lot of skills needed for data scientists to flourish in their skills. They are two types, technical and non-technical. Let us look into the skills.
Technical Skills include:
We have already discussed the basic work of data scientists. They are dealing with huge data. Their work starts even before the collection of data. The data collected will be huge and it cannot be handled manually. So there is a need for modern techniques and tools. This can be handled by using programming languages. So a data scientist needs to be skilled in any of the programming languages. It is also a basic and essential skill.
- Knowledge of Analytical Tools
The collected data need to be analyzed to get forecasts and solutions for problems encountered by the business. This is the ultimate goal of data science. The data will be organized. To extract meaningful information from the organized data set, the data scientist must be proficient in analytical tools. Tools like SAS, Hadoop, R, Hive, Pig, Spark, etc are more popular in analytical tools. A data scientist must acquire knowledge in any of the analytical tools.
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- Working with Unstructured Data
A data scientist must be adept at working on unstructured data. The unstructured data comes from different sources and channels. Data scientists must have the experience to work with unstructured data. For example, if a data scientist works with a financial business, he must be adept with the financial tools as well.
- Strong Business Awareness
The primary thing a data scientist needed is the awareness of the business. This is the only way to become productive and work smoothly. If a data scientist is working in the marketing business he must be aware of the challenges that may happen and must be ready to tackle the challenges. So a strong business awareness is a must-needed non-technical skill.
As always better communication leads to better productivity. Data extraction, understanding, and analysis all are key skills of data scientists. They can do it with ease. But if they lack communication skills, then the former skills will not help them to survive. Better communication makes better benefits. If the business needs to get benefits from the work, the data scientists must communicate well with the team members.
Data Scientist Jobs
Data Scientist is considered the most promising career and it is also called the best job in the US. A data scientist has a great salary package also. The demand for data scientists is so high that there is a huge spike in their salaries. Starting a career in data science is a great opportunity as the career now plays an important role in almost all businesses. From finance to medical care data scientists are so important. A data scientist’s career has great implications in every field. There are a lot of opportunities for data scientists in the US and India.
Data science is the most promising career nowadays. It has many opportunities in the US and India. The data nowadays is abundant and it needs to be handled using modern-day tools and techniques. There are some skills needed for data scientists to become the best in their careers.
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