Impact Guru Interview Questions and Answers

Q1. Introduction of yourself
Add your answer

Assignment of Google sheets

Q1. Self introduction
Add your answer
Q2. What do you know about analysis and logical reasoning
Ans. 
Analysis and logical reasoning involve examining data, identifying patterns, and drawing conclusions based on evidence.
• Analysis involves breaking down complex information into smaller components for better understanding.

• Logical reasoning is the process of using rational thinking to make sense of information and draw valid conclusions.

• Analytical skills are essential for interpreting data accurately and making informed d...read more
Answered by AI
Add your answer

It was an online test

Q1. Basic DSA Questions
Add your answer

Q1. Tell me about yourself
Add your answer

Q1. 2 code and 2 MySQL query
Add your answer

Q1. Basic logical question, database design scenario
Add your answer

General aptitude focused on mathematics.

Q1. Difference between rank and dense rank
Ans. 
Rank assigns unique ranks to each distinct value, while dense rank does not leave gaps between ranks.
• Rank assigns unique ranks to each distinct value in a dataset

• Dense rank does not leave gaps between ranks, assigning consecutive ranks to values with the same rank

• For example, if values are 10, 20, 20, 30, then rank would be 1, 2, 2, 4 and dense rank would be 1, 2, 2, 3
Answered by AI
Add your answer
Q2. How will merge multiple file in python
Ans. 
Merge multiple files in Python using pandas.concat() or pd.merge() functions.
• Use pandas.concat() function to merge multiple files vertically (row-wise).

• Use pd.merge() function to merge multiple files horizontally (column-wise) based on a common column.

• Ensure that the files have compatible column names and data types before merging.

• Handle any missing or duplicate values appropriately during the merging process.

• Consider ...read more
Answered by AI
Add your answer
Q3. Data frame explain in detail
Ans. 
A data frame is a two-dimensional data structure in which data is stored in rows and columns.
• Data frames are commonly used in programming languages like R and Python for data analysis.

• Each column in a data frame represents a variable, while each row represents an observation.

• Data frames can contain different types of data, such as numeric, character, and factor.

• Data frames can be created from various sources like CSV f
Answered by AI
Add your answer