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Resultant rows for different SQL joins
Inner join - returns rows that have matching values in both tables
Left join - returns all rows from the left table and the matched rows from the right table
Right join - returns all rows from the right table and the matched rows from the left table
Full outer join - returns all rows when there is a match in either left or right table
I applied via Approached by Company and was interviewed in Apr 2024. There were 2 interview rounds.
The test covered questions around stats (mean, median, etc), python, SQL and aptitude questions
Q1. Write a python code for the Fibonacci series.
Q2. Write a SQL code find the mean salary for every department.
Q3. Write a SQL code to find the employee age at the time of joining the company.
Q4. Rewrite the above queries in Python.
loc and iloc are methods in pandas used for selecting rows and columns by label or integer position.
loc is used for selecting rows and columns by label
iloc is used for selecting rows and columns by integer position
Example: df.loc[0:5, 'column_name']
Example: df.iloc[0:5, 2]
Vlookup is simpler and easier to use, while Index Match is more flexible and efficient.
Vlookup is easier for beginners to understand and use
Vlookup is quicker to set up and requires less formula writing
Index Match is more flexible as it can look up values in any column, not just the first one
Index Match is more efficient for large datasets as it does not require the entire column to be searched
BRD focuses on business requirements while FRD focuses on functional requirements.
BRD (Business Requirements Document) outlines the business problem that needs to be solved.
FRD (Functional Requirements Document) details how the system will meet the business requirements.
BRD is more high-level and focuses on the 'what', while FRD is more detailed and focuses on the 'how'.
BRD is typically created before FRD in the projec...
Retail experience and analysis
I have over 5 years of experience in retail industry analysis
Proficient in using data analytics tools to track sales trends and customer behavior
Implemented strategies based on market research to increase sales and customer satisfaction
Collaborated with cross-functional teams to optimize inventory management and pricing strategies
Top trending discussions
Basic aptitude questions, statics, probability etc
I live in New York City, the bustling metropolis known for its iconic landmarks and diverse culture.
I reside in the heart of Manhattan, surrounded by towering skyscrapers.
New York City is home to famous attractions like Times Square, Central Park, and the Statue of Liberty.
The city offers a vibrant arts and entertainment scene, with Broadway shows and world-class museums.
I enjoy exploring the diverse neighborhoods and ...
In 5 years, I see myself as a senior data analyst leading a team, utilizing advanced analytics to drive strategic decision-making.
Leading a team of data analysts
Utilizing advanced analytics techniques
Driving strategic decision-making
Continuously learning and staying updated with the latest trends in data analysis
I applied via Naukri.com and was interviewed in Jan 2024. There was 1 interview round.
posted on 16 Nov 2021
I applied via Referral and was interviewed in Oct 2021. There was 1 interview round.
I applied via LinkedIn and was interviewed before Aug 2023. There were 3 interview rounds.
Sql, Python mcq test
Seeking new challenges and growth opportunities in a dynamic environment.
Looking for new challenges and opportunities for growth
Interested in working in a more dynamic environment
Seeking a change to further develop my skills and knowledge
In 5 years, I see myself as a seasoned Business Analyst leading cross-functional teams to drive strategic initiatives and deliver impactful solutions.
Leading cross-functional teams to drive strategic initiatives
Delivering impactful solutions to meet business objectives
Continuing professional development to stay current with industry trends
I applied via Job Portal and was interviewed in May 2021. There were 6 interview rounds.
I appeared for an interview in Aug 2024.
The sql questions were hard
based on 3 interview experiences
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