Senior Data Analyst
Senior Data Analyst Interview Questions and Answers for Freshers
Q1. What do you know about R square?
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 is also known as the coefficient of determination.
It ranges from 0 to 1, with 1 indicating a perfect fit.
It is used to evaluate the goodness of fit of a regression model.
Higher R square values indicate that the model explains a larger proportion of the variance in the dependent variable.
For example, an R square of 0.8 m...read more
Q2. How do you check the model fit
Model fit can be checked using various statistical measures and techniques.
Check goodness of fit statistics like R-squared, AIC, BIC
Analyze residuals to ensure they are normally distributed and homoscedastic
Use diagnostic plots like QQ plots, residual plots, and leverage plots
Perform cross-validation to assess model performance on unseen data
Q3. Salary descion and explain work culture
Salary decisions are based on market research and internal equity, while work culture is collaborative and supportive.
Salary decisions are typically made based on market research to ensure competitiveness and internal equity to maintain fairness within the organization.
Work culture is described as collaborative, where team members support each other and work together towards common goals.
Open communication and transparency are valued in the work culture, allowing for feedback...read more
Q4. What is a Transformer
A Transformer is a type of deep learning model that uses attention mechanisms to improve the efficiency of sequence-to-sequence tasks.
Utilizes self-attention mechanism to weigh the importance of different input elements
Commonly used in natural language processing tasks such as machine translation and text generation
Examples include BERT, GPT, and Transformer-XL
Q5. Summarise function in Dax?
SUMMARISE function in DAX is used to group data based on specified columns and calculate aggregate values for each group.
Used in Power BI to create summary tables
Groups data based on specified columns
Calculates aggregate values for each group
Similar to GROUP BY in SQL
Q6. Order of execution for sql
Order of execution for SQL queries
1. FROM - Specifies the tables involved in the query
2. WHERE - Filters the rows based on specified conditions
3. GROUP BY - Groups the rows based on specified columns
4. HAVING - Filters the groups based on specified conditions
5. SELECT - Retrieves the columns to be displayed
6. ORDER BY - Sorts the result set based on specified columns
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