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Four Types Of Data Analytics

Data analytics (DA) is the process of examining data sets to discover trends and draw conclusions about the information contained within them. Data analytics is increasingly being performed with the assistance of specialized systems and software.we provide data science training in Chennai for more information visit our site https://www.learnbay.co/data-science-course/data-science-courses-in-chennai/

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Four Types Of Data Analytics

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  1. FOUR TYPES OF DATA ANALYTICS

  2. WHAT IS DATA ANALYTICS? Data analytics (DA) is the process of examining data sets to discover trends and draw conclusions about the information contained within them. Data analytics is increasingly being performed with the assistance of specialized systems and software.

  3. THERE ARE FOUR TYPES OF DATA ANALYTICS: Descriptive Analysis Diagnostic Analysis Predictive Analysis Prescriptive Analysis

  4. Descriptive Analysis The answer to the question of what is the simplest way to understand the operation of descriptive analytics. Consider the following example for greater clarity. What happened in each product category can be deduced from the data available on income and manufacturing. Divide your data into the following categories: The earnings per product category The monthly revenue or income Total number of products manufactured in each category per month

  5. DIAGNOSTIC ANALYSIS Regardless of the type of analysis, past events will always be necessary. This method, which is a step above descriptive analysis, requires you to compare it to other data. The goal is to investigate the why question. Assume you need to investigate why a certain profit was made or not made. The analysis will focus on sales and gross profit in this case.

  6. PREDICTIVE ANALYSIS Regardless of the type of analysis, past events will always be necessary. This method, which is a step above descriptive analysis, requires you to compare it to other data. The goal is to investigate the why question. Assume you need to investigate why a certain profit was made or not made. The analysis will focus on sales and gross profit in this case.

  7. 50 40 PRESCRIPTIVE ANALYSIS 30 Finally, you will be able to recommend a course of action using prescriptive analytics. Remember that the goal of this stage is to eliminate future problems. 20 10 While the technical processes will immerse themselves here, you must notice a promising trend. 0 Item 1 Item 2 Item 3 Item 4 Item 5

  8. THANK YOU FOR WATCHING If you want to learn more about data science visit our site https://www.learnbay.co/data-science-course/data-science-courses-in-chennai/

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