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I applied via LinkedIn and was interviewed in Dec 2023. There were 2 interview rounds.
The difference between WHERE and HAVING clauses in SQL.
WHERE clause is used to filter rows based on a condition before the data is grouped or aggregated.
HAVING clause is used to filter groups based on a condition after the data is grouped or aggregated.
WHERE clause is used with SELECT, UPDATE, DELETE statements, while HAVING clause is used with SELECT statements that include GROUP BY clause.
WHERE clause filters individ...
I appeared for an interview before Feb 2024.
I applied via AngelList and was interviewed in Feb 2022. There were 3 interview rounds.
There were two parts ,One is theoretical and another one is practical.
In theoretical round questions on SQL and ETL tools (MCQs).
In practical round, mystery puzzle was given, in which we have to solve the puzzle using SQL ( Different tables were given and few conditions were given)
HAVING clause is used with GROUP BY to filter the results based on aggregate functions, while WHERE clause is used to filter individual rows.
HAVING clause is used after GROUP BY clause.
HAVING clause is used to filter the results based on aggregate functions like SUM, COUNT, AVG, etc.
WHERE clause is used before GROUP BY clause.
WHERE clause is used to filter individual rows based on conditions.
HAVING clause cannot be use...
LOD stands for Level of Detail. It is a technique used in Tableau to perform complex calculations on aggregated data.
LOD expressions allow users to compute values at different levels of detail in a visualization
They can be used to create custom aggregations, filters, and calculations
There are three types of LOD expressions: FIXED, INCLUDE, and EXCLUDE
FIXED LOD expressions define a level of detail that is independent of...
Rank function assigns unique rank to each distinct row, while Dense rank function assigns same rank to rows with same values.
Rank function is used to assign a unique rank to each distinct row based on the order specified in the ORDER BY clause.
Dense rank function is used to assign the same rank to rows with the same values, skipping the next rank if there are ties.
Rank function returns consecutive ranks, while dense ra...
2 questions on Aptitude test asked by Hiring manager and 1 SQL question
I applied via AngelList and was interviewed before Feb 2023. There were 2 interview rounds.
SQL test comprises of Warehouse Theoretical question and one SQL Murder Mystery Practical question.
Saras Analytics interview questions for designations
Top trending discussions
I applied via Referral and was interviewed in Oct 2021. There were 2 interview rounds.
Good
I applied via Walk-in and was interviewed before Jun 2021. There were 2 interview rounds.
EPS stands for Earnings Per Share. Balance sheet always matches due to the fundamental accounting equation.
EPS is a financial metric that measures the profit earned by a company per outstanding share of common stock.
It is calculated by dividing the net income of the company by the total number of outstanding shares.
Balance sheet always matches because of the fundamental accounting equation which states that assets must...
Depreciation and amortization are accounting methods used to allocate the cost of assets over their useful lives.
Depreciation is the allocation of the cost of tangible assets, such as buildings or equipment, over their useful lives.
Amortization is the allocation of the cost of intangible assets, such as patents or copyrights, over their useful lives.
Both depreciation and amortization are non-cash expenses that reduce t...
I applied via Naukri.com
I appeared for an interview in Jul 2017.
I am a data analyst with a strong background in statistics and programming.
I have a Bachelor's degree in Statistics and have completed several courses in programming languages like Python and SQL.
I have experience working with large datasets and conducting data analysis using statistical techniques.
I am proficient in data visualization tools like Tableau and have created interactive dashboards to present insights.
I hav...
I am interested in this company because of its strong reputation in the data analytics industry and its commitment to innovation.
The company has a proven track record of success in the data analytics industry.
It has a strong reputation for delivering high-quality insights and solutions.
The company values innovation and encourages employees to think creatively.
There are opportunities for professional growth and developm...
I am passionate about using data to solve complex problems and make informed decisions.
Data analysis allows me to apply my analytical skills and engineering background to extract valuable insights from data.
I enjoy working with numbers, statistics, and programming, which are all essential skills in the field of data analysis.
Data analysis offers a wide range of opportunities to work on diverse projects and industries, ...
I appeared for an interview in Mar 2017.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
I appeared for an interview in Apr 2021.
Round duration - 45 Minutes
Round difficulty - Medium
Given an array or list of integers 'ARR', identify the second largest element in 'ARR'.
If a second largest element does not exist, return -1.
ARR = [2,...
Find the second largest element in an array of integers.
Iterate through the array to find the largest and second largest elements.
Handle cases where all elements are identical.
Return -1 if a second largest element does not exist.
Round duration - 20 Minutes
Round difficulty - Easy
Tip 1 : Start with basic probability and statistics
Tip 2 : Prepare Machine Learning well
Tip 3 : Be good with any visualisation tool like Tableau
Tip 4 : Do some problems on kaggle
Tip 1 : Provide certifications for SQL, Machine Learning etc.
Tip 2 : Include some good ML projects in the resume
based on 3 interviews
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