• Certificate Program in Data Science and Machine Learning
  • POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    4.8 out of 6071 learners
    2x industry demand
  • PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    4.8 out of 5 by 469 learners
    4x
  • CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    4.8 out of 5 by 621 learners
    4x industry demand
  • Post Graduate Program for Agile Business Analyst
    4.5 out of 5 by 2187 Learners
    3X industry demand
  • POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    4.8 out of 5 by 3278 learners
    14 X industry demand
  • Data Science Prodegree
    Co-created with KPMG in India
    4.7 out of 5 by 6233 learners
    16 X industry demand

What are the top 15 Data Analyst Interview Questions and Answers?

Data analytics has emerged as the latest hotshot for organisations, with tremendous opportunities arising daily in the industry. 

Here are some of the most asked data analyst interview questions one may encounter while sitting for a data analytics job.

 

  • What are the key skills required for becoming a data analyst?

 

To become a data analyst, you must possess strong Microsoft Excel skills. 

A typical data analyst's job responsibilities involve gathering and organising the data.

 

  • What qualifications are necessary to become a data analyst?

 

A data analyst must have a thorough understanding of business-related tools, statistics, mathematics, and computer languages like Java, SQL, C++, etc. 

For the profession, one also needs solid analytics training, data mining knowledge, pattern identification skills, and problem-solving aptitude.

 

  • What does "data cleansing" mean?

 

Data cleansing refers to the process of detecting and removing any inconsistency or errors from the data to improve its quality. 

 

  • What are some of the best tools for data analysis?

 

Some of the most useful tools for data analysis are Google Search Operators, KNIME, Tableau, Solver and RapidMiner.

 

  • What is the KNN imputation method?

 

KNN imputation method refers to the attribution of the values of missing attributes by using the attribute values nearest to the missing ones. 

 

  • Mention some best techniques for data cleansing.

 

Some of the best techniques for data cleansing are –

  • Sorting of the data, which organises them based on their categories.
  • Focusing attention on the summary statistics for each column 
  • Getting mastery of regular expression
  • Creating a set of utility functions, tools, and scripts 

 

  • How is data mining different from data profiling?

 

Data mining focuses on identifying essential records, analysing data collections, discovering sequences, etc. 

Data profiling, on the other hand, is concerned with analysing individual attributes of the data and providing valuable information on those attributes such as data type, length etc.

 

  • What are data validation methods?

 

There are two ways to validate data:

  • Data verification – once the data has been gathered, a verification is done to check its accuracy and remove any inconsistency from it.
  • Data screening – inspection or screening of data is done to identify and remove errors from it (if any) before commencing the analysis of the data.

 

  • Name some common issues associated with a data analyst career.

 

Some common issues which data analysts face are Missing values, Miss-spelt words, Duplicate values and Illegal values.

 

  • What is an Outlier?

 

The term outlier refers to a value which appears far away and diverging from an overall pattern in a sample. 

 

  • What is logistic regression?

 

Logistic regression or logit regression is a statistical method of data examination where one or more independent values define an outcome.

 

  • Mention the various steps in an analytics project.

 

Various steps in an analytics project –

  • Definition of problem
  • Exploration of data
  • Preparation of data
  • Modelling
  • Validation of data
  • Implementation and tracking

 

 

  • What are the missing patterns generally observed in data analysis?

 

Some of the commonly observed missing patterns are –

  • Missing completely at random
  • Missing at random
  • Missing that depends on the unobserved input value
  • Missing that depends on the missing value itself

 

  • How can multi-source problems be dealt with?

 

One can deal with multi-source problems by –

  • Restructuring schemas for attaining schema integration
  • Identifying similar records and merging them together 

 

 

  • What are the ways to detect outliers? 

Outliers are detected using two methods. 

Box Plot Method: According to this method, the value is considered an outlier if it exceeds or falls below 1.5*IQR (interquartile range).

Standard Deviation Method: According to this method, an outlier is defined as a value that is greater or lower than the mean ± (3*standard deviation).

Use this salary calculator to calculate your potential salary

For Online Course Enquiries
About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
Related course
  • certification
    Certificate Program in Data Science and Machine Learning
    Course duration(months)
    5
    Upcoming batches
    1
    Organizations enrolled
    20
    Upcoming Batches
    Date Location Schedule
    Date Location Schedule
  • Finance
    POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    Course duration(Months)
    24
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 6071 learners
    2x industry demand
    Upcoming Batches
    Date Location Schedule
    3rd August Live Instructor - Led Training Online
    Date Location Schedule
  • Analytics
    PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    Course duration()
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 469 learners
    4x
    Upcoming Batches
    Date Location Schedule
    21st November ONLINE Online
    Date Location Schedule
  • Placement Assistance
    CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    Course duration(Months)
    8
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 621 learners
    4x industry demand
    Upcoming Batches
    Date Location Schedule
    23rd October ONLINE Online
    Date Location Schedule
  • Post Graduate
    Post Graduate Program for Agile Business Analyst
    Course duration(6)
    Upcoming batches
    1
    Organizations enrolled
    20
    4.5 out of 5 by 2187 Learners
    3X industry demand
    Upcoming Batches
    Date Location Schedule
    25th July BANGALORE-KORAMANGALA Weekend
    Date Location Schedule
  • Post Graduation
    POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    Course duration(Months)
    5
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 3278 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    30th October CHENNAI Weekend
    Date Location Schedule
  • Prodegree
    Data Science Prodegree
    Co-created with KPMG in India
    Course duration(Months)
    2-4
    Upcoming batches
    1
    Organizations enrolled
    20
    4.7 out of 5 by 6233 learners
    16 X industry demand
    Upcoming Batches
    Date Location Schedule
    9th October ANDHERI Weekend
    Date Location Schedule