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HOW HARD IS DATA ANALYTICS?

What is data analytics? The term ‘analysis’ in the term ‘data analysis’, refers to the procedure of breaking something into its separate individual components for the purpose of individual scrutiny and examination. Data analysis is actually the process of obtaining the raw data and thereby converting it into useful and important information that is necessary for decision-making by the users. The data which has been collected is analyzed for answering questions, disproving theories or testing hypotheses. The process of inspecting, purifying, transforming and modeling huge amounts of data with the sole objective of identifying useful information and data that helps in the process of drawing conclusions and decision-making is known as data analytics. There are multiple and numerous approaches and facets to data analysis which encompass a diverse methodology under various names used in different types of scientific, business and socially scientific domains. In the modern era, da...
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The Scope of Data Analytics in India

Business analytics is the combination of computer programming, business intelligence and data analytics. It is the science of analyzing data, in order to find out patterns that will help in developing various business strategies. In today’s world, data analytics is used by almost all businesses and industries. The aim of business analytics is to filter the useful data sets so that they can prescribe how they can be used for the better functioning of the company. The most popular and well-known tools of business analytics include open source programming languages which provides statistical tools. R and Python are used extensively for this purpose. Various data processing tasks have been automated by using these programming languages. Eligibility You must secure at least 50% marks in aggregate or equivalent at a renowned university, to be eligible for a post-graduate data analytics course. Besides post graduate data analytics courses, data analytics courses are a...

Business Analytics vs. Data Analytics: Which is better?

Business analytics and data analytics are two terms that are very closely related. Every day, a huge amount of data is generated during the process of regular business deals. To get useful information out of this data, many companies today are using both business analytics and data analytics. These two terms are often mistakenly used in place of each other. Through this article, we will try to differentiate between these buzz words. To differentiate between the two, we first need to understand both terms more closely. What is Data Analytics? The process of examining a huge volume of unstructured data to draw some useful conclusions from work is called data analysis. The main work of a data analyst is to work with a large amount of data by using various tools and to find relatable patterns in the structured data. It is his work to provide a good graphical representation from the data which is usually obtained in tabular form. The popular tools used by data analysts are: ...

How does data analytics function?

Understanding data analytics The companies collect data sets in bulk day in and day out. Data analytics is just the way of examining these with the intention of drawing out some inferences regarding the inner information they usually contain which is not obvious in the first glance. This is mostly done by using special software and systems meant for this purpose. Where is it used? All industries use this technology. It is however, far often used in commercial spaces so that enterprises can make better and informed decisions when it comes to business. The utility of data analytics is vast because it has the capacity to aid increasing revenues, make marketing efforts more fruitful, assist companies to outdo their competition and optimize efficient operations. What kind of data is captured and analyzed? Data could either be historical in nature which shows the past instances of how things were done and perceived or it can dish out new information altogether using r...