
Tiger Analytics

Tiger Analytics Data Analyst Interview Questions and Answers
Q1. How can you prove to the client that a students with higher classes are taller than that of lower classes?
We can use statistical analysis to prove that students in higher classes are taller than those in lower classes.
Collect height data of students from different classes
Use statistical measures like mean, median, and mode to compare the heights of students in different classes
Perform hypothesis testing to determine if the difference in height between classes is statistically significant
Visualize the data using graphs and charts to make it easier for the client to understand
Provi...read more
Q2. What is permutation and combination and how is it used in data science?
Permutation and combination are mathematical concepts used to count the number of possible outcomes in a given scenario.
Permutation is the arrangement of objects in a specific order while combination is the selection of objects without considering the order.
Permutation formula: nPr = n!/(n-r)! where n is the total number of objects and r is the number of objects selected.
Combination formula: nCr = n!/r!(n-r)! where n is the total number of objects and r is the number of objec...read more
Q3. Compare two arrays in python and print if both of them are same or not?
Compare two arrays in python and print if both of them are same or not.
Use the '==' operator to compare the arrays.
If the arrays have the same elements in the same order, they are considered the same.
If the arrays have different elements or different order, they are considered different.
Print 'Same' if the arrays are the same, otherwise print 'Different'.
Q4. What are different types of indexing
Different types of indexing include primary indexing, secondary indexing, clustered indexing, and non-clustered indexing.
Primary indexing: Index based on the primary key of a table, typically implemented using a B-tree structure.
Secondary indexing: Index based on a non-primary key column, allowing for faster retrieval of data based on that column.
Clustered indexing: Physically reorders the table based on the indexed column, leading to faster retrieval of data but slower inser...read more
Q5. How does random forest work
Random forest is an ensemble learning method that builds multiple decision trees and merges their predictions.
Random forest creates a set of decision trees from randomly selected subsets of the training data.
Each tree in the random forest independently predicts the outcome, and the final prediction is made by averaging the predictions of all the trees.
Random forest is effective in handling high-dimensional data and can handle missing values and outliers well.
It is a popular a...read more
Q6. Explain macros inExcel
Macros in Excel are automated sequences of commands that can be created to perform repetitive tasks.
Macros can be recorded or written using Visual Basic for Applications (VBA)
They can automate tasks such as formatting, data manipulation, and calculations
Macros can be assigned to buttons or keyboard shortcuts for easy access
They can save time and reduce errors in repetitive tasks
Q7. Explain over fitting
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization to new, unseen data.
Regularization techniques like L1/L2 regularization can help prevent overfitting.
Cross-validation can be used to detect and prevent overfitting.
Example: A decision tree with too many branches that perfectly fits the training data but p...read more
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