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I applied via Approached by Company and was interviewed in Sep 2024. There was 1 interview round.
I applied via Approached by Company and was interviewed in Mar 2024. There were 2 interview rounds.
Implementing logics in a use case study to analyze data and derive insights.
Identify the problem statement and objectives of the study
Collect relevant data and clean it for analysis
Apply statistical and machine learning techniques to derive insights
Interpret the results and communicate findings to stakeholders
Python, data manipluation, ML, SQl
I applied via Approached by Company and was interviewed in Feb 2024. There were 4 interview rounds.
General aptitude questions
Was given a topic and asked to talk about for 2 mins
LatentView offers a dynamic work environment with opportunities for growth and learning in the field of analytics.
LatentView has a strong reputation in the analytics industry for delivering innovative solutions to clients.
The company values continuous learning and development, providing employees with opportunities to enhance their skills.
LatentView offers a collaborative work culture where employees can work on divers...
LatentView Analytics interview questions for popular designations
I applied via Approached by Company and was interviewed in Sep 2023. There were 2 interview rounds.
Use SQL query with subquery to find nth highest salary
Use ORDER BY and LIMIT to get the nth highest salary
Use a subquery to exclude the top n-1 salaries before selecting the nth highest salary
I applied via Campus Placement
It was easy to approach!
Discussions about common topics like boon or bane to society
Asked about the scenarios
Apptitude, tecncal, cognitiive
I applied via Approached by Company and was interviewed before Jan 2024. There were 3 interview rounds.
Basics of SQL, Python
Experience based questions, SQL and Python
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,...
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