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4 Useful Data Analyst Interview Questions

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.

Differentiate between data mining and data profiling:

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 algorithm and its characteristics:

Clustering is the process where data is separated into clusters and groups. Below are the characteristics of clustering algorithm:

  • Flat or hierarchical
  • Hard and soft
  • Iterative
  • Disjunctive

What are the main statistical methods used by data analysts?

  • Bayesian method
  • Imputaion
  • Spacial and cluster processes
  • Markov process
  • Simplex algorithm
  • Rank statistics, outliers detection and percentile
  • Mathematical optimization

Understanding K-mean 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:

For professional guidance that ensures you have a strong footing in the data analytics industry, check these excel courses in Kolkata offered by Techtree Technologies. They also offer many other job-oriented courses under their summer training program.


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