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I applied via Recruitment Consulltant and was interviewed before Oct 2023. There were 4 interview rounds.
Have some understanding about domain that you are going to work on after getting selected.
I applied via Walk-in and was interviewed in May 2021. There was 1 interview round.
The order of filter operations in Tableau is important for accurate results.
Tableau applies filters in the order they are listed in the Filters shelf.
Filters are applied before calculations, so the order can affect the results of calculations.
The order can be changed by dragging and dropping filters in the Filters shelf.
Context filters are applied before other filters, so they can affect the order of operations.
Bins and groups are both methods of categorizing data, but bins are used for continuous data while groups are used for categorical data.
Bins are used to group continuous data into intervals or ranges.
Groups are used to categorize data based on a specific attribute or characteristic.
Bins are commonly used in histograms and frequency distributions.
Groups are commonly used in cross-tabulations and contingency tables.
Bins ...
I applied via Campus Placement and was interviewed in Sep 2023. There were 3 interview rounds.
90-minute assessment round with general aptitude, verbal, logical reasoning and coding questions where we had to predict the output
3 topics were discussed in 1 hour time. The HR chose one person to conclude at the end of each topic. At the end of GD, the HR asked some questions to selected students 3/4 students.
I applied via campus placement at Sri Venkateswara College of Engineering, Chennai and was interviewed before Nov 2023. There were 3 interview rounds.
Basic Aptitude (prob, )
posted on 30 Jan 2024
I applied via Job Portal and was interviewed in Dec 2023. There was 1 interview round.
I applied via Naukri.com and was interviewed before Aug 2022. There were 4 interview rounds.
Easy questions related to time and work
Python code to form patterns like star or palimdrome number
posted on 27 Jun 2023
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data
K-means clustering is a type of unsupervised learning...
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
Coding problem with python and sql join queries
I applied via Recruitment Consulltant and was interviewed in Sep 2022. There were 5 interview rounds.
Some of the top questions asked at the Cognitio Analytics Senior Data Analyst interview -
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