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Are you interested in knowing the comparison between Data Mining vs Data Analysis? If yes, then here you will know about Data Mining vs Data Analysis in detail.
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Today's Discussion Topics to be covered Overview Introduction To Data Mining Introduction To Data Analysis Data Mining Tools Data Analysis Tools Data Mining Vs Data Analysis: Head To Head Comparison Conclusion
Overview Are you interested in knowing about some key differences between Data Mining vs Data Analysis? If yes, then you are at the right place. Data Mining vs Data Analysis is always a big concern among the students. Before going deeper, Let’s start with a short introduction to each of these terms.
Introduction To Data Mining Data mining is a method that converts raw data into meaningful data. It assists organizations in developing more innovative strategies, increasing sales, generating revenue, and growing a business through cost reduction. Because data mining is based on research, many companies employ it to turn data into meaningful information.
Introduction To Data Analysis Data analysis is a process for investigating, analysing, and demonstrating data in order to discover relevant information. There are numerous forms of that, but most people focus on quantitative data initially. For example, census data comes after surveying.
Data Mining Tools Have a look at some tools: Rapid Miner Python Rattle Teradata Orange Knime Oracle Data Mining Kaggle Weka IBM SPSS Modeler
Data Analysis Tools Have a look at some tools: Tableau QlikView Microsoft Excel Tableau Google Data Studio KNIME Splunk Apache Spark Power BI Talend
Data Mining Vs Data Analysis Head To Head Comparison
Conclusion We have discussed Data Mining vs Data Analysis. And after comparing it’s clear that both Data Mining vs Data Analysis are good ones to learn for students. But if in any case, you need assistance regarding Data Mining Assignment Help then feel free to contact us. We are always available to help you.
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