{"id":242771,"date":"2021-06-11T10:36:54","date_gmt":"2021-06-11T10:36:54","guid":{"rendered":"https:\/\/imarticus.org\/?p=242771"},"modified":"2026-05-15T14:26:00","modified_gmt":"2026-05-15T08:56:00","slug":"most-important-r-programming-sql-and-tableau-interview-questions-answers","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/most-important-r-programming-sql-and-tableau-interview-questions-answers\/","title":{"rendered":"Preparing for your data science interview: Common R programming, SQL and Tableau questions"},"content":{"rendered":"

Preparing for your data science interview: Common R programming, SQL and Tableau questions<\/h1>\n

This data science interview questions blog includes the most frequently asked data science questions.\u00a0Here is the list of top R programming, SQL and Tableau questions. <\/span><\/p>\n

R Programming Interview Questions<\/b><\/p>\n

R finds application in various use cases, from statistical analysis to predictive modelling, data visualisation and data manipulation.\u00a0<\/span>Facebook, Twitter and Google use R-programming training to process the huge amount of data they collect.<\/span><\/p>\n

Which are the R packages used for data imputation?<\/b><\/p>\n

Missing data is a challenging problem to deal with. In such cases, you can impute the lost values with plausible values.\u00a0<\/span>Amelia, Hmisc, missForest, Mice and mi are the data imputation packages used by R. <\/span>In R, missing values are represented by NA, which should be in capital letters.\u00a0<\/span><\/p>\n

Define clustering. Explain how hierarchical clustering is different from K-means clustering.<\/b><\/p>\n

A cluster, just like the literal meaning of the word, is a group of similar objects.\u00a0<\/span>K denotes the number of centroids needed in a data set. While performing data mining, k selects random centroids and optimises the positions through iterative calculations.<\/span><\/p>\n

The optimisation process stops when the desired number of repetitive calculations have taken place or when the centroids stabilise after successful clustering. <\/span>Hierarchical clustering starts by considering every single observation in the data as a cluster.\u00a0 <\/span>Then it works to discover two closely placed clusters and merges them.\u00a0 <\/span>This process continues until all the clusters merge to form just a single cluster.\u00a0<\/span><\/p>\n

SQL Interview Questions<\/b><\/a><\/p>\n

If you have completed your SQL training, the following questions will give you a taste of the technical questions you may face during the interview.<\/span><\/p>\n

What is the difference between MySQL and SQL?<\/b><\/p>\n

Standard Query Language (SQL) is an English-based query language, while MySQL is used for database management.<\/span><\/p>\n

What do you mean by DBMS, and how many types of DBMS are there?<\/b><\/p>\n

DBMS or the Database Management System is a software set that interacts with the user and the database to analyse the available data.\u00a0<\/span>Thus, it allows the user to access the data presented in different forms \u2013 images, strings, or numbers \u2013 modify them, retrieve them and even delete them.<\/span><\/p>\n

There are two types of DBMS<\/b>:<\/span><\/p>\n

Relational<\/b>: The data is placed in some relations (tables).<\/span><\/p>\n

Non-Relational<\/b>: Random data that are not placed in any relations or attributes.<\/span><\/p>\n

Tableau Interview Questions<\/b><\/p>\n

Tableau is becoming popular among the leading business houses.\u00a0<\/span>If you have just completed your Tableau training, then the interview questions listed below could be good examples.<\/span><\/p>\n

What is Tableau? How is Tableau different from the traditional BI tools?<\/b><\/p>\n

Tableau is a business intelligence software connecting users to their respective data.\u00a0<\/span>It also helps develop and visualise interactive dashboards and facilitates dashboard sharing. <\/span>Traditional BI tools work on an old data architecture supported by complex technologies.\u00a0<\/span>Tableau is fast and dynamic and is supported by advanced technology. <\/span>It supports in-memory computing. <\/span>‘Measures’ denote the measurable values of data.\u00a0<\/span>These values are stored in specific tables, and each dimension is associated with a specific key.\u00a0<\/span>Dimensions are the attributes that define the characteristics of data.\u00a0<\/span>For instance, a dimension table with a product key reference can be associated with attributes such as product name, colour, size, description, etc.<\/span><\/p>\n

The above questions are examples to help you get a feel of the technical questions generally asked during the interviews. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Preparing for your data science interview: Common R programming, SQL and Tableau questions This data science interview questions blog includes the most frequently asked data science questions.\u00a0Here is the list of top R programming, SQL and Tableau questions. R Programming Interview Questions R finds application in various use cases, from statistical analysis to predictive modelling, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_lmt_disableupdate":"no","_lmt_disable":"","_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[23],"tags":[203,868,913,1616],"class_list":["post-242771","post","type-post","status-publish","format-standard","hentry","category-analytics","tag-data-science","tag-data-science-training","tag-data-science-course","tag-r-programming-training"],"acf":{"youtube-url-id":"","publised_date":"","ls_key":"PG Analytics"},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t