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Lithium Urban Technologies
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Lithium Urban Technologies Data Analyst Interview Questions and Answers
Lithium Urban Technologies Data Analyst Interview Experiences
2 interviews found
Smruti Ranjan Parida
I applied via Job Fair and was interviewed in Aug 2022. There were 2 interview rounds.
(2 Questions)
- Q1. Q1/- How to extract data from database
- Ans.
To extract data from a database, one can use SQL queries or programming languages like Python or R.
Use SQL queries to extract data from a database
Use programming languages like Python or R to extract data from a database
Connect to the database using appropriate credentials
Identify the tables and columns from which data needs to be extracted
Write the query or code to extract the data
Save the extracted data in a desired
- Q2. Q2/- What are the Tableau Datatypes
- Ans.
Tableau has 14 datatypes including string, integer, float, date, boolean, and more.
Tableau has 14 datatypes
String, Integer, Float, Date, Boolean, and more
Data types can be changed in Tableau
Data types affect how data is displayed and aggregated
Examples: String - 'John Smith', Integer - 25, Float - 3.14, Date - 01/01/2021, Boolean - True/False
(2 Questions)
- Q1. Q1/- Related company example along with Excel
- Q2. Q2.- Vlookup() copy record from one sheet to another sheet
- Ans.
Vlookup() is a function in Excel that can be used to copy records from one sheet to another based on a common identifier.
The Vlookup() function searches for a value in the first column of a table array and returns a corresponding value in the same row from a specified column.
The common identifier used in the Vlookup() function should be present in both the source and destination sheets.
The Vlookup() function can be use...
Interview Preparation Tips
And Thanks to the organiser Bharathi Mam, It was such a great experience overall.
Skills evaluated in this interview
Krishna Murugan
I applied via Hirect and was interviewed in Jul 2022. There were 4 interview rounds.
(1 Question)
- Q1. All about excel and about your previous work experience
All about analytical and excel
(1 Question)
- Q1. Just salary discussion
Interview Preparation Tips
Top trending discussions
Interview questions from similar companies
I applied via Indeed
(1 Question)
- Q1. Basic questions
(1 Question)
- Q1. Given data make a Project and explain it
Selected
I applied via Walk-in and was interviewed before Oct 2022. There were 3 interview rounds.
(1 Question)
- Q1. About yourself?
(1 Question)
- Q1. About languages?
(1 Question)
- Q1. Normal questions were there
Selected
I applied via Campus Placement and was interviewed before Apr 2022. There were 3 interview rounds.
(1 Question)
- Q1. Projects Business case study
(1 Question)
- Q1. Family details Pressure questions
Interview Preparation Tips
Business Analyst Interview Questions & Answers
Ola Electric Mobility
Anonymous
posted on 25 Oct 2023
Normal CAT level questions
(1 Question)
- Q1. Asked some guesstimates and some SQL
SQL. Statstics python mathematics
(1 Question)
- Q1. SQL+case study regarding busienss
Some profitable case
Startegy case round regarding swiggy
About customer data hiw may job card and warrant parts
Power Bi with visualization
(1 Question)
- Q1. Only discussion about previous experience
Selected
I was interviewed before Jan 2023.
(1 Question)
- Q1. Asked related to introduction and about previous company profile
(1 Question)
- Q1. Related to advanced excel
Selected
I applied via Referral and was interviewed before Jun 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Explain Joins in SQL?
- Ans.
Joins in SQL are used to combine rows from two or more tables based on a related column between them.
Joins are used to retrieve data from multiple tables based on a related column between them
Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
INNER JOIN returns rows when there is at least one match in both tables
LEFT JOIN returns all rows from the left table and the matched rows from the right table
...
- Q2. What is Normalisation?
- Ans.
Normalisation is the process of organizing data in a database to reduce redundancy and improve data integrity.
Normalisation involves breaking down data into smaller, more manageable tables
It helps in reducing data redundancy by storing data in a structured way
It improves data integrity by ensuring that each piece of data is stored in only one place
Normalization is usually done in multiple stages (1NF, 2NF, 3NF, etc.) t...
Questions mostly revolved around pandas and numpy.
Interview Preparation Tips
- SQL
- Pandas
Skills evaluated in this interview
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