If you’ve chosen data analytics as your career, you have a rewarding future ahead. In our times, all organizations are leveraging data to enhance their productivity and efficiency. Hence, the demand for skilled data professionals is at an all time high. However, cracking an impressive data analyst job interview was never easy. To help aspiring data analysts prepare for interviews better, we’ve listed down 4 fundamental questions along with answers. Keep reading.
Data profiling is mainly concerned with evaluating individual data attributes. It includes providing considerable information on data frequency, length, type, value ranges and other kinds of data attributes.
Data mining, on the other hand, is all about analyzing complex data clusters, determining atypical records and sequence discovery.
Clustering is the process where data is separated into clusters and groups. Below are the characteristics of clustering algorithm:
K-mean is essentially a classifying technique for segregating objects into K groups. In K-mean algorithm, clusters are spherical shaped, data points are accurately aligned along clusters and there are similarities between the variance of different clusters.
The set of probable questions for an interview is enormous. To know some more basic questions that will aid your preparation, click here: www.techtreeindia.com/blogger/2018/10/01/most-popular-data-analytics-interview-questions-to-know-right-away
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