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Compunnel Data Analyst Interview Questions, Process, and Tips
Compunnel Data Analyst Interview Experiences
1 interview found
I applied via Naukri.com and was interviewed in Oct 2022. There were 2 interview rounds.
(5 Questions)
- Q1. 1. Measures of Dispersion
- Ans.
Measures of Dispersion are used to describe the spread of data around the central tendency.
Measures of Dispersion include Range, Variance, Standard Deviation, and Interquartile Range.
Range is the difference between the maximum and minimum values in a dataset.
Variance measures how far each value is from the mean.
Standard Deviation is the square root of the variance.
Interquartile Range is the difference between the 75th
- Q2. Difference between Linear & Logistic Regression ? Give examples ?
- Ans.
Linear regression is used for continuous data while logistic regression is used for categorical data.
Linear regression predicts a continuous outcome while logistic regression predicts a probability of an event occurring.
Linear regression uses a straight line to fit the data while logistic regression uses an S-shaped curve.
Linear regression is used for predicting values like house prices while logistic regression is use...
- Q3. What is Feature Selection & Feature Engineering
- Ans.
Feature selection is the process of selecting relevant features from a dataset, while feature engineering involves creating new features.
Feature selection helps to reduce the dimensionality of the dataset and improve model performance.
Feature engineering involves transforming or combining existing features to create new ones that may be more informative.
Examples of feature engineering include creating interaction terms...
- Q4. What is Gradient Descent and where is it used
- Ans.
Gradient Descent is an optimization algorithm used to minimize the cost function of a machine learning model.
Gradient Descent is used in machine learning to find the optimal parameters of a model by minimizing the cost function
It works by iteratively adjusting the parameters in the direction of steepest descent of the cost function
There are two types of Gradient Descent: Batch Gradient Descent and Stochastic Gradient D...
- Q5. What are different types of machine learning with examples
- Ans.
There are three types of machine learning: supervised, unsupervised, and reinforcement learning.
Supervised learning involves training a model on labeled data to make predictions on new data. Example: predicting house prices based on features like location, size, etc.
Unsupervised learning involves finding patterns in unlabeled data. Example: clustering customers based on their purchasing behavior.
Reinforcement learning ...
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Skills evaluated in this interview
Interview questions from similar companies
I applied via Approached by Company and was interviewed in Apr 2024. There was 1 interview round.
SQL and python questions are very easy.
Interview Preparation Tips
Praveen Kumar
Selected
I applied via Referral and was interviewed before Jan 2023. There were 3 interview rounds.
General knowledge
English knowledge
(1 Question)
- Q1. Self and technical
Data Analyst Interview Questions & Answers
Collabera Technologies
Banoth Nandini
posted on 13 Oct 2023
(1 Question)
- Q1. What is IP address?
- Ans.
An IP address is a unique numerical label assigned to each device connected to a computer network.
IP addresses are used to identify and locate devices on a network.
There are two types of IP addresses - IPv4 and IPv6.
IPv4 addresses are written in the form of four sets of numbers separated by periods (e.g. 192.168.1.1).
IPv6 addresses are written in a hexadecimal format and are longer than IPv4 addresses.
IP addresses can ...
(1 Question)
- Q1. Not completed technical round
Skills evaluated in this interview
(2 Questions)
- Q1. Tell me about you self
- Q2. What are the good qualities of a freshers
Why should we hire you
(1 Question)
- Q1. Sql regarding question was there
(1 Question)
- Q1. Self introduction about your self
- Ans.
I am a data analyst with a strong background in statistics and programming.
Proficient in statistical analysis and data visualization using tools like Python and R
Experienced in cleaning and transforming large datasets for analysis
Skilled in creating insightful reports and presentations to communicate findings
Strong problem-solving and critical thinking skills
Ability to work collaboratively in a team and meet deadlines
Interview Preparation Tips
I applied via Campus Placement and was interviewed before Sep 2021. There were 4 interview rounds.
The aptitude test consists of MCQ on computer technicals , english, verbals, etc as like usual aptitude test. Also it includes 2-3 sql queries to solve as well as 1-2 coding questions with easy to medium level difficulty.
(1 Question)
- Q1. Technical round was around 1 hour. They had asked me the technical questions related to computer fundamentals like networking, DS, OOP, etc. Then he went on java code and their programming basics like adap...
(1 Question)
- Q1. HR was the telephonic round for me. They just asked normal hr questions like intro, strengths, weakness, location preferences, technologies on which i had worked on etc. They have also gave me the CTC info...
Interview Preparation Tips
More focus on SQL
Be confident on your answers. It's ok if you stuck in between . The interviwers are quite friendly to help you out there.
I applied via Job Portal
Provided sales case study, asked to analyse the same ans provide insights
I applied via Company Website and was interviewed in Aug 2021. There were 4 interview rounds.
Interview Questionnaire
1 Question
- Q1. Where do you see yourself in 5 years
Interview Preparation Tips
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