What Is Data Analytics How Is It Different From Data Science

1. What Is Data Analytics: How Is It Different From Data Science? atoallinks.com/2022/what-is-data-analytics-how-is-it-different-from-data-science Education Data Analytics is the process of extracting useful insights out of a data set. In addition, it includes the analysis, collection, organization, and storage of data. The main objective of this process is to improve the company’s performance and help it in making data-driven decisions. Types Of Data Analytics. Descriptive analytics- This type of Analytics focuses on answering the question ” What Happened”. In addition, the primary goal of conducting this analysis is to give valuable insights about past activities without telling its reason. Diagnostic analytics- Diagnostic analytics analyzes the past data to know “Why something has happened in the past.” In addition, it provides in-depth insights into a specific problem. Predictive analytics- This analytics type tells a business, “What is most likely to happen” in near future. In addition, it makes forecasting about the future activities and helps a business prepare for those upcoming threats or opportunities. Prescriptive analytics- As its name suggests, prescriptive analytics is responsible for prescribing ” What actions to take”. Moreover, it needs external as well as internal data to assists in eliminating a future problem. Features Of Data Analytics 1/3

2. Data Analytics makes a business capable of exploring and analyzing its historical data and helps in achieving new heights. In addition, it also facilitates making important decisions by connecting intelligence with actions. This technology contributes a lot to improving business processes and performances. The use of Data Analytics in business processes helps in finding anomalies, making decisions, and taking action at the point of impact. In addition, it allows you to filter your data, summarize it and gather insights from it in real- time. It further allows you to respond to an event in a fraction of seconds. To further learn about its workings and functionalities, one can enroll in the Data Analytics Online Course in Qatar. Given below are some of the features of Data Analytics. Business Intelligence and Reporting- Business Analytics provides business intelligence for a company by analyzing the historical data. This provides ease in making complicated business-related decisions and monitoring various business processes. Data Preparation- Data preparation becomes easy with the use of this technology as it ensures that data can be easily gathered from various sources. After that, the gathered data is cleaned by removing the duplicity and errors and made ready for analysis. Data Visualization- Data Visualization refers to the process of converting the data into graphical representation for better analysis. This process helps in exploring the data and finding patterns in it visually. Geospatial and Location Analytics- Adding Geospatial and Location Analytics to your data analysis process help in developing insights and spot relationships in the new data. It further helps in making predictions about your customers. Machine Learning- It refers to the process of automating the analytical models with the help of algorithms. Machine learning is beneficial in finding the patterns and insights from data without programming the computers for where to look. Streaming Analytics- Streaming Analytics makes it possible to act on real-time events. In addition, it also helps in pulling out data from various platforms such as IoT streaming devices, video sources, audio sources, and many more in real-time. Data Analytics Vs Data Science Data Analytics helps in simplifying complex business processes thus allowing companies to use various Data Science processes. In addition, this collaboration of Data Science and Data Analytics helps in improving the overall revenue and productivity of an organization. Data Analytics is beneficial for identifying trends and patterns in data along with developing graphical representation to help in better decision making. On the other hand, Data Science is the process of designing new methods for data modeling with the help of algorithms and predictive models. In addition, data scientists usually deal with designing data modeling processes and algorithms. However, Data Analytics and Data Science both require highly trained professionals for conducting business operations smoothly and one can get Data Analytics Online Certification in Dubai after learning it. Conclusion 2/3

3. Data Analytics is beneficial in Extracting insights from the datasets. It consists of four types that are descriptive, diagnostic, predictive, and prescriptive. This process helps in data preparation, data visualization, machine learning. Etc. In conclusion, it is a very different concept from Data Science however, it facilitates data science implementation within an organization. 3/3