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Home All Updates (128) CAREER AS A DATA ANA
CAREER AS A DATA ANALYST WHAT IS DATA ANALYTICS? Data Analytics is the science of analyzing data to convert the given information into useful knowledge. This knowledge could help us to understand the data in a better way, and in many contexts enable us to make better decisions. DATA ANALYSTS Data analysts are the persons who compile and analyze data and statistics for businesses in order to identify problems and suggest possible solutions for that problem and convert that data into useful information. They might also design and build databases to get the information they need, they also ensure data accuracy, and make recommendations to business managers about how to improve efficiency or quality of data based on their findings or results. RESPONSIBILITIES OF DATA ANALYST Depending on their level of expertise, data analysts may involve in following activities: They work with IT teams of the company, management and/or data scientists to determine organizational goals. Data analyst examine large pre-existing databases in order to generate new and useful information. Clean data to remove irrelevant information. Analyze and interpret results or useful information using standard statistical tools and techniques. Identify new methods to make the process faster. Provide concise and clear data reports on time for management. Design, create and maintain relational databases and data systems. Solve code problems and data-related issues. NON- IT PROFESSIONALS CAN BECOME DATA ANALYST OR NOT? Non-IT professionals do not have to worry so much. The path to becoming a good big data analyst is not very difficult, it includes both art and science. Core skills of analysing, visualising and communicating and interpreting data are not limited to IT professionals only. If any non-IT professionals can have such qualities then he can also make his career as a data analyst. Your comfort and interest in mathematics and statistics can level you up. In short, we can say that anybody can become a Big Data analyst. They only have to develop these five skills in them which are- 1.LEARN PROGRAMMING Learning how to write a program and how to code is an essential skill in the Big Data analyst’s career. You need to learn coding to perform various statistical and numerical analysis on the given data. There are several computer languages that you must learn if you want to become a successful data analyst such as Java, R, Python, C++ etc. It is a true fact that if you know any one of the language well then you can easily learn the rest of the languages. Hands on experience with these languages and programming will help in your learning effort. After learning these programming language you will become a professional programmer and you can start your career as a big data analyst. 2. KNOWLEDGE OF VARIOUS TECHNOLOGIES For becoming a professional data analyst knowledge of programming languages is not enough. You must learn some technologies which include various tools, hardware and software. Some basic tools include SQL, R, Microsoft Excel. At the higher or at enterprise level you must learn some advanced tools such as SPSS, Cognos, SAS, MATLAB are important to learn as are Python, Scala, Linux, Hadoop and HIVE. The rest of the technologies depend upon the environment and work level of the company. 3. QUANTITATIVE OR MATHEMATICAL SKILLS As a big data analyst, along with the programming, coding and other basic and advanced tools quantitative skills are also needed. The quantitative skills needed for data analysts include calculus, statistics, matrix algebra and also probability.By learning these skills, you will have a strong foundation in numerical analysis. 4.UNDERSTANDING OF BUSINESS AND OUTCOMES All the skills that are discussed above are useless if they are not applied to the business setting. All big data analysts need to have a strong understanding of the business and domain they operate in.If they have good domain understanding then they can effectively communicate with the different stakeholders. They also must have the knowledge of business outcomes. 5. INTERPRETATION OF DATA Of all the skills we have outlined, interpretation of data is the outlier. It is the one skill that combines both art and science. In most of the companies most of the employees are unable to understand the data of their own company. These employees often rely on pre configured reports and dashboards to derive their insights. Unfortunately, this approach is dangerous. It does not provide a holistic view of the data procurement and analysis process.This problem is often compounded by the fragmentation of data systems. In order to grow in your career as a data analyst you must build these five skills in yourself. For the development of these skills you can join Data Analytics course conducted by ETL Labs Pvt. Ltd. where you can learn all programming languages along with the mining of data and quantitative skills that are described above. For any query and for more information you can visit at-
  • 2017-09-06T06:00:15

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Master Big Data Analytics Big Data Analytics is the process of examining data sets in order to draw conclusions about the information they contain. Learning about big data analytics is an ongoing process, and there are a variety of routes professionals and students can take to become experts in the field. For today’s marketing and IT professionals, big data analytics is rapidly becoming an essential yet multifaceted skill, and those who master big data analytics play a critical role in transforming their companies into data-driven organizations. To become a successful IT professional master big data analytics. Here are some reasons why you should master big data analytics- Big data creates career advancement opportunities for IT and other professionals. Big data analytics skills are useful in practically any setting, including learning environments. Big data is changing the way marketing and IT professionals are trained. Machine learning enables organizations to draw from past experiences to predict outcomes. Big data analytics knowledge is useful in many roles, including the C-suite.  Technology readily supports the collection, storage, and security of big data, but the real opportunity lies in big data analysis. Managers must learn tools for analyzing and visualizing information to communicate with data scientists. To get the most out of big data, companies must make big data a central business tenet. If you want to read more about why you should learn big data analytics? Then you can visit at- There are many job opportunities in the present market for big data analytics professionals. You can learn Big Data Analytics by joining Data Analytics course conducted by one of the best centers for big data analytics training, ETL Labs Pvt. Ltd. at Gomti Nagar Lucknow. ETL Labs is set up under the guidance of IIM Ahmedabad alumni. Course for big data analytics training is designed by our experts from IIM Ahmedabad. For more information about this training center, you can visit us at-
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