This is the modern world. A world of a new vision and new opportunities. World of big data!!!! Analytics along with big data has virtually changed every industry and business around us. Big data does not only mean the big slice of information, it actually means the complexity of the information. And to make this complex data understandable and useful, data mining and data analytics is used. You might be curious about what is data mining and data analytics. Are these two terms the same? If not, what's the difference? Not to get confused as this article will definitely clear all your doubts.
Let’s get started with this simple clarification.
What is Data Mining?
Data mining is the process of withdrawing meaningful information within large data sets with the purpose of getting information from big data stores through automated methods. The useful patterns and trends of the data are observed and processed.
The conversion of raw data into meaningful information based on variables, inputs & features is data mining. Various algorithms are filtered from the cores in the statistical format from artificial intelligence, machine learning, and computer science, in order to develop models from data. The formation of the problem, understanding the data, building the data model, predicting the results, and building the process to apply the methods to the model. Descriptive analysis is also a part of data mining.
Now that you know what is data mining, let us understand what is data analytics.
What is Data Analytics?
What is Data Mining Techniques?
What are the Types of Data Analysis?
Analysis which describes the product characteristics. It strongly highlights the quality of the product.
Are Data Mining Related to Data Analytics?
Which Software is used for Data Mining?
1. SAS Data mining
2. Zoho Analytics
Zoho Analytics is a program based on business intelligence and analytics platform. It allows the user to create meaningful future prospect and report through dashboards and compelling visuals. The AI-powered assistant enables users to bring innovative and intelligent solutions from the smart dashboard reports.
The wide array of visualization charts, reports, summary views, pivot tables, and databases.
Expanded analytics using ML, AI, and NLP.
White label BI portals.
4. Rapid miner
5. Oracle BI
Does data mining require coding?
Data mining does require coding. Programming languages like Python, R are used to visualize and analyze data.
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