It was modified the way the types of data analytics are shown, now is easier to understand the concepts. Also, I've added free resources for a deeper read on the subject (2 links and 2 youtube videos)
Data Analytics has proven to be a critical part of decision-making in modern business ventures. It is responsible for discovering, interpreting, and transforming data into valuable information. Different types of data analytics look at past, present, or predictive views of business operations.
Data Analysts, as ambassadors of this domain, employ these types, which are namely Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics, to answer various questions — What happened? Why did it happen? What could happen? And what should we do next? Understanding these types gives data analysts the power to transform raw datasets into strategic insights.
Data Analysts, as ambassadors of this domain, employ these types, to answer various questions:
- Descriptive Analytics *(what happened in the past?)*
- Diagnostic Analytics *(why did it happened in the past?)*
- Predictive Analytics *(what will happen in the future?)*
- Prescriptive Analytics *(how can we make it happen?)*
Understanding these types gives data analysts the power to transform raw datasets into strategic insights.
Visit the following resources to learn more:
- [@article@Data Analytics and its type](https://www.geeksforgeeks.org/data-analytics-and-its-type/)
- [@article@The 4 Types of Data Analysis: Ultimate Guide](https://careerfoundry.com/en/blog/data-analytics/different-types-of-data-analysis/)
- [@video@Descriptive vs Diagnostic vs Predictive vs Prescriptive Analytics: What's the Difference?](https://www.youtube.com/watch?v=QoEpC7jUb9k)
- [@video@Types of Data Analytics](https://www.youtube.com/watch?v=lsZnSgxMwBA)
Yam Duran
3 months ago
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