Posted on : 18 Mar, 2021, 12:57:59 PM
Data Analyss is a procedure of transforming data to find useful information to make a decision and deriving a conclusion. The Data Analysis technology is widely used in every sector for multiple purposes. Hence the demand for data analysts remains high worldwide.
To build a strong career in the Data Analysis field, candidates need to crack the interview first in which they ask many Data Analyst interview questions.
We, Wissenhive, compiled a list of frequently asked interview questions with answers for Data Analysts that candidates might encounter during job interviews. It includes basic to advanced interview questions depending on the candidate's experience and various factors.
There is a broad spectrum of software and tools that are used in the field of data analysis. Here are some of the top ones include
The role of a data analyst includes various responsibilities and those includes.
Data analysis refers to a process of cleansing, collecting, interpreting, modeling, and transforming data to generate reports and gather insights to gain business profits.
There are basically three processes included in data analysis: collecting data, analyzing data, and creating reports.
The various steps included in analytics projects are
There are majorly five different kinds of sampling techniques and methods used by Data Analysts.
Data cleansing and Data wrangling refer to a structural way to find erroneous content in huge data and carefully removing them to assure that the data is of the utmost quality. Here are few ways to clean data systematically, and those are:
There are five best practices for data cleansing:
As the name suggests, data validation is the process that determines the accuracy of provided data and its quality of the source. There are various methods to process the validation of data, but the main ones are data verification and data screening.
There are four different types of data validation methods included in data analysis, and those are
The common difficulties faced by data analysts during data analysis includes
A data collection plan refers to the procedure used to collect all the important data in a system, which covers
The answer to this question varies from analyst to analyst, but there are a few criteria that are considered to decide whether the developed model of data is perfect or not.
Data analysts are expected to understand the tools for analysis and presentation purposes. Some of the demanded and popular tools are:
The primary advantages of using version control are
When there is any missing or suspicious data, then.
There are four different technique to handle and manage missing value in the dataset, and those are
The companies’ or businesses’ data keeps changing daily, but the format remains the same. When an operational business process enters a new market, seeing a sudden rise of opposition or seeing its position failing or rising, it is suggested to retrain the model. So, as and when the business dynamics shift, it is recommended to retrain the model with customers’ changing behaviors.
There are several skills that a Data Analyst needs. Some of them are
The true positive rate also referred to as sensitivity or recall, is used to estimate and measure the actual percentage of original positives, which are correctly classified and identified.
Normal Distribution leads to a continuous probability distribution that is symmetric about the mean. In a graphical representation, normal distribution will look like a bell curve.
The KNN imputation method is used to impute the missing attribute data values, imputed by attribute values that are similar to the missing attribute values. There are three different types of missing values, and those are
Time Series analysis refers to a statistical method that deals with a properly ordered series of values of a variable at equal space-time intervals. The time-series data are collected by adjacent periods, which clears that there is a correlation between the observations. The feature distinguishes cross-sectional data from time-series data.
Overfitting refers to a model that prepares the data well by using the training set, and the performance drops considerably over the test set. Overfitting takes place when the model learns noise in the training dataset and the random fluctuations in detail.
Underfitting refers to a model that neither generalizes to new data nor trains the data, and it performs badly in both the test set and train. Underfitting takes place when there are a lesser amount of data to create an accurate model and when an individual tries to develop or build a linear model using non-linear data.
Hadoop ecosystem is a framework built by Apache to process large datasets in a distributed computing environment for an application. There are various components included in Hadoop.
You can highlight and detail cells by using conditional formatting in Excel. It includes four easy steps, and those are
There are multiple ways to handle or manage slow excel workbooks, but some strategies can be very popular in handling workbooks.
A pivot table refers to a simple featured statistical table in Microsoft Excel that summarizes the huge data of an extensive table which includes a business intelligence program, spreadsheet, database, etc. Pivot Table is easy to use as it requires dropping and dragging columns/rows headers to create the report. The summary might incorporate averages, statistics, or sums, which helps pivot table groups to bind data together in a meaningful way.
A Pivot table is made up of four different divisions, and those are
A print area in excel refers to a range of cells that individuals are designated to print whenever they print the worksheet. For example - if an individual wants to print the first 45 rows from the whole worksheet, then they can set the first 45 rows as the print area.
To set the Print Area, an individual has to follow the four basic steps that include
The answer varies on a case-to-case basis, but some common questions that Data Analyst should ask before creating an Excel dashboard are
PROC SQL is a simultaneous processing method for all the observations. Here are some of the steps to execute PROC SQL
A full form of DBMS is Database Management System that refers to a software application used to interact with the applicants, users, and database to analyze and capture data. The database’s stored data can be easily modified, deleted, and retrieved and can be of any type such as images, strings, numbers, etc.
There are mainly four different types of DBMS, and those are
ACID property refers to property that is used in the database to check whether the transactions of data are reliably processed in the system or not. To define each term, understanding ACID is a must. ACID is an acronym for
Normalization is the method of organizing and preparing data to avoid redundancy and duplication. There are numerous successive levels of normalization that are also called normal forms. Every standard form depends on the previous form; the first three forms are usually adequate.
There are four different types of normal forms available in normalization, and those are known as
We, Wissenhive, hope you found this top 50 Data Analyst interview questions and answers article useful. The questions covered in this article are the most sought-after interview questions for a data analyst that will help candidates in acing your next interview!
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