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Basic Aptitude, English and automobile related test
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Object oriented programming is a programming paradigm based on the concept of objects, which can contain data and code.
OOP focuses on creating objects that interact with each other to solve problems
Encapsulation, inheritance, and polymorphism are key principles of OOP
Examples of OOP languages include Java, C++, and Python
I applied via Campus Placement and was interviewed before Feb 2023. There were 5 interview rounds.
Aptitude test :Numerical,Logical and Behavioral
Group discussion - Conducted among 6-12 people
I applied via Campus Placement and was interviewed in Jul 2022. There were 5 interview rounds.
There were 48 questions to be done in 60 minutes.
the platform used was below average.
about 1400 gave the test
The Next round was a GD.
about 250 were shortlisted.
it was held in groups of 10 - 13.
there were 2 Panelists observing the body language, the fluency and time you speak for.
It is very important that you either start or conclude the GD.
leaves a good impression.
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information.
It involves collecting and organizing data
It includes statistical analysis and visualization
It helps in making informed decisions
Examples include market research, financial analysis, and scientific research
SQL Queries using Joins and sub-queries
Joins are used to combine rows from different tables based on a related column
Sub-queries are queries nested within another query
Joins and sub-queries can be used together to retrieve specific data from multiple tables
I applied via Referral and was interviewed before Jul 2020. There were 4 interview rounds.
I applied via Referral and was interviewed before Jun 2023. There were 4 interview rounds.
Topics will be mainly SQL and few python questions. Duration-3min to 1hr
CLT theorem states that the distribution of sample means approaches a normal distribution as sample size increases.
Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases.
It is used in hypothesis testing, confidence intervals, and in estimating population parameters.
CLT is essential in making infer...
ML data preparation involves cleaning, transforming, and organizing data for analysis. EDA involves exploring and visualizing data to understand its characteristics.
Data cleaning: removing missing values, handling outliers, and dealing with duplicates
Data transformation: encoding categorical variables, scaling numerical features, and creating new features
Data organization: splitting data into training and testing sets,...
4 SQL questions, complexity 7/10
Prepare well on Python, SQL and be good at solving analytical problems
based on 2 interviews
Interview experience
based on 15 reviews
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