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      <title>5 Reasons to Pursue Big Data Analytics as a Career by muit noida</title>
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      <pubDate>2019-05-01 13:35:20 UTC</pubDate>
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         <title>5 Reasons to Pursue Big Data Analytics as a Career</title>
         <author>muitnoidaedu</author>
         <link>https://padlet.com/muitnoidaedu/big_data_analytics_as_career/wish/355778555</link>
         <description><![CDATA[<div>Data analytics has grown to be one of the most important domains in today’s day and age. Since the data science industry is evolving at a galloping pace, more and more people are considering it to be a worthy career path. The role of a data analyst is to help the organization make better business-related decisions, and thus help it achieve its goals. Pursuing big data analysis can give your career a much-needed boost. The following points advocate the given statement:<br><br></div><div><strong>Demand</strong></div><div>According to a leading job portal, the job trend graph for Big Data Analytics, demonstrates that there is a growing demands of professionals in this domain. This has resulted in a steady increase in the number of job opportunities associated with data science. Professionals who hold expertise in data science are usually in high demand as there are a wide range of job postings which are predicted to increase considerably in the near future. This owes to the increased number of organizations trying to implement data analytics in their system.<br><br></div><div><strong>Indispensable Part of an organization</strong></div><div>According to a recent survey, it was established that Big Data Analytics is one of the top priorities of the organizations as it is believed that data science advances the performance of organizations. The survey revealed that that approximately 45% of the organizations believed that big data analytics will help in more precise business insights, while 38% seek to employ analytics to recognize different sales and market opportunities. Apart from this, More than 60% of the organizations depend on big data analytics in order to boost the organization’s social media and digital marketing abilities.<br><br></div><div><strong>Growth Prospects</strong></div><div>With the ever-evolving technology, it is now much easier to perform better forms of data analytics at a larger scale and with diverse datasets. This is the reason why more and more organizations are implementing the necessary tools required for data analytics.<br><br></div><div><strong>Career Options</strong></div><div>Since Big Data Analytics is quite an extensive domain, it is categorized under 3 types of data analytics depending on the Big Data environment:</div><div>· Prescriptive Analytics</div><div>· Predictive Analytics</div><div>· Descriptive Analytics<br><br></div><div>There is a wide range of career options when it comes to data science which varies in terms of the role of the job. Some of the most common and renowned job titles that one can choose from are:<br><br></div><div>· Big Data Analytics Business Consultant</div><div>· Big Data Engineer</div><div>· Big Data Solution Architect</div><div>· Business Intelligence and Analytics Consultant</div><div>· Big Data Analyst</div><div>· Big Data Analytics Architect</div><div>· Metrics and Analytics Specialist</div><div>· Analytics Associate<br><br></div><div><strong>Prevalent Among Various Industries</strong></div><div>Big Data Analytics is not limited to any one industry, but is employed in various domains owing to its numerous benefits. Since it is prevalent in various industries, one can easily fetch a data analyst job under healthcare, manufacturing, technology, banking, and more.<br><br></div><div>The aforementioned points highlight the major reasons that make data analytics one of the most rewarding job prospects. Also, it is extremely important to pick the best <a href="http://muitnoida.edu.in/school-of-data-science/">big data course in Noida</a>, Delhi or Gurgaon to ensure that you have proper knowledge and skillset to be able reach new zeniths of success.</div>]]></description>
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         <pubDate>2019-05-01 13:36:11 UTC</pubDate>
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