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Coding questions related to Java and other languages
I applied via LinkedIn and was interviewed in Apr 2023. There were 3 interview rounds.
Questions were about SQL and definitions and functions of SQL
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posted on 13 Apr 2024
Data analysis and data science are crucial for extracting valuable insights from large datasets to drive informed decision-making.
Data analysis and data science help in uncovering patterns and trends within data.
They enable businesses to make data-driven decisions for improved efficiency and effectiveness.
These fields also play a vital role in predictive analytics and forecasting.
Examples include using machine learning...
PGDM in Business Analytics provides specialized knowledge and skills for analyzing data to drive business decisions.
Specialized curriculum focusing on data analysis techniques and tools
Hands-on experience with real-world data sets
Opportunities for networking with industry professionals
Career advancement in the field of business analytics
posted on 14 Aug 2023
I applied via campus placement at Indian Institute of Technology (IIT), Kanpur and was interviewed in Jul 2023. There were 4 interview rounds.
Basics related to stats and aptitude questions. Level was moderate to tough.
Very easy coding question for the python or c programming language
I applied via LinkedIn and was interviewed before Feb 2023. There were 2 interview rounds.
I had been interviewed on the basis of excel test related to advanced excel tecniques.
Hedge funds are investment funds that use various strategies to maximize returns for their investors.
Hedge funds are typically only available to accredited investors due to their complex and risky nature.
They often use leverage and derivatives to amplify returns, but this also increases the risk of losses.
Hedge funds charge both a management fee (usually 2%) and a performance fee (usually 20%) based on profits earned.
S...
I applied via LinkedIn and was interviewed in Apr 2024. There were 3 interview rounds.
Clustering code on cricket anslytics
Audit assurance case study… examples and estimation
I applied via LinkedIn and was interviewed in Feb 2024. There were 2 interview rounds.
Focus on little bit of dynamic programming
Joins are used in SQL to combine rows from two or more tables based on a related column between them.
Joins are used to retrieve data from multiple tables based on a related column
Common types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
Use cases for joins include combining customer data with order data, merging employee information with department details
posted on 12 May 2021
I applied via Campus Placement and was interviewed in Apr 2021. There were 6 interview rounds.
posted on 13 Apr 2024
Data analysis and data science are crucial for extracting valuable insights from large datasets to drive informed decision-making.
Data analysis and data science help in uncovering patterns and trends within data.
They enable businesses to make data-driven decisions for improved efficiency and effectiveness.
These fields also play a vital role in predictive analytics and forecasting.
Examples include using machine learning...
PGDM in Business Analytics provides specialized knowledge and skills for analyzing data to drive business decisions.
Specialized curriculum focusing on data analysis techniques and tools
Hands-on experience with real-world data sets
Opportunities for networking with industry professionals
Career advancement in the field of business analytics
I applied via Campus Placement and was interviewed before Mar 2023. There were 2 interview rounds.
Asked about Numpy , Panads . Some operations of data slicing . 3 problems of python coding .
Standard deviation is a measure of the amount of variation or dispersion of a set of values.
Standard deviation is calculated as the square root of the variance.
It measures how spread out the values in a data set are around the mean.
A higher standard deviation indicates more variability in the data.
Formula for standard deviation: sqrt(Σ(x - μ)² / N), where x is each value, μ is the mean, and N is the number of values.
Correlation measures the relationship between two variables, regression predicts a dependent variable based on independent variables, and gradient descent is an optimization algorithm for finding the minimum of a function.
Correlation measures the strength and direction of a linear relationship between two variables. It ranges from -1 to 1.
Regression is a statistical technique used to model the relationship between a de...
R square is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.
R square ranges from 0 to 1, with 1 indicating a perfect fit.
It is used to evaluate the goodness of fit of a regression model.
A higher R square value indicates that the model explains a larger proportion of the variance in the dependent variable.
I will select columns based on relevance to the analysis goals and data quality.
Identify columns relevant to the analysis goals
Consider data quality and completeness of each column
Remove redundant or irrelevant columns
Use statistical methods or domain knowledge to prioritize columns
based on 2 interviews
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