Data analytics addresses the quantitative and qualitative techniques to enhance the productivity of a business. The given data is pulled out and categorized in different groups for proper identification. The behavior and the patterns of the data are analyzed, and the techniques differ according to the requirements of the organization. In this article datasciencecertification we will learn about the requirements to becoming a data analyst, the role of data analytics in industry, and the importance of data analytics.
Requirements to Become a Data Analyst
Programming is one of the most essential requirements that has to be fulfilled to become a data analyst. The code or the program is needed for conducting statistical and numerical analysis of huge data sets. A person should have a sound knowledge about some of the programming languages like R, Java, Python and C++. It’s not that a person has to learn each and every language individually; learning one language provides a huge boost on understanding the other languages. Learning programming languages can also help in interacting with the databases through different statements and queries.
Quantitative skill is another requirement for becoming a good data analyst. The person should have a sound knowledge about calculus and matrixes as well as linear algebra. He or she should also know statistics and probability. This will provide a very solid foundation for numerical analysis. With an understanding of the company’s business and its outcome, a data analyst should apply the insights from the data for the betterment of the business of the company. Data analysts can communicate properly with the stakeholders of the company and are able to identify the different threats and opportunities of the company and hence can capitalize on them.
Among all the mentioned requirements, interpretation of data is one of the most important requirements for becoming a good data analyst. This skill requires high sterility and precision in hard science and mathematics, but it also requires a good amount of creativity as well. Another requirement to become a good data analyst is proper knowledge about multiple technologies. Technologies don't only mean programming it, includes Microsoft Excel, SQL, Cognos, SPSS and many more.
Role of Data Analysts
Data analysts play a huge role in an organization. They analyze and interpret data using different statistical techniques. They acquire different types of data from various data sources that can be a primary as well as secondary data source in the database. They help in identifying the patterns and the trends of the market, which provides a boost in the business of the organization. They analyze the business processes of the organization and help in improving those processes. They can also extract information from different unstructured data.
Importance of Data Analytics
There are many important aspects of data analytics and I will discuss those in this article. Business analytics helps in increasing the efficiency of the company. It helps in understanding the market in which the company is working. Due to increases in the efficiency of the business there is a fair amount of cost reduction, such as saving costs on development of products. Data analytics include proper analysis of the market, which enhances the decision-making capability of the organization; it makes decision making faster and more accurate.
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If data analysis or an analytical way of thinking is one of the main strengths of a person, then that person should pursue a career in data analytics. ExcelR in Bangalore provides the best data analytics certification course on which a person can put his or her faith.
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