DATASCIENCE INTERVIEW QUESTIONS

1.What is data science?

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

2.What is exploratory data analysis?

Exploratory Data Analysis is an approach to analyzing data sets to summarize their main characteristics, often using visual methods.

3.What are the types of variables?

Variables can be categorized as quantitative (numerical) or qualitative (categorical). Quantitative variables can be further divided into discrete and continuous.

4.What is univariate analysis?

Univariate analysis involves the analysis of a single variable, typically focusing on its distribution and summary statistics.

5.What is bivariate analysis?

Bivariate analysis involves the analysis of two variables simultaneously to determine the relationship between them.

5.What is central tendency?

Central tendency refers to the tendency of data to cluster around a central value, which is typically measured using mean, median, or mode.

6.What is a percentile?

A percentile is a measure used in statistics indicating the value below which a given percentage of observations in a group of observations fall.

7.What is frequency in statistics?

Frequency refers to the number of times a particular value occurs in a data set.

8.What is covariance?

Covariance measures the degree to which two variables change together.

9.What is correlation?

Correlation measures the strength and direction of the linear relationship between two variables.

10.What are the rules of correlation?

Correlation coefficients range from -1 to 1, where 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation.

11.What is multicollinearity?

Multicollinearity occurs when two or more independent variables in a multiple regression model are highly correlated.

12.What is Variance Inflation Factor (VIF)?

VIF is a measure used to detect multicollinearity in regression analysis by assessing how much the variance of the estimated regression coefficients is inflated due to multicollinearity.

13.What is homoscedasticity?

Homoscedasticity refers to the situation in which the variability of a variable is constant across all levels of another variable.

14.What is heteroscedasticity?

Heteroscedasticity occurs when the variability of a variable is not constant across all levels of another variable.

15.What is a t-test?

A t-test is a statistical test used to determine if there is a significant difference between the means of two groups.

16.What are the types of t-tests?

There are two main types of t-tests: independent samples t-test and paired samples t-test.

17.What is hypothesis testing?

Hypothesis testing is a statistical method used to make inferences about population parameters based on sample data.

18.What are the types of hypothesis testing?

Common types of hypothesis testing include one-sample t-test, two-sample t-test, ANOVA, chi-square test, etc.