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Tata Insights and Quants Data Analyst Interview Questions and Answers
Tata Insights and Quants Data Analyst Interview Experiences
2 interviews found
Anonymous
Selected
I applied via Job Portal
Basic questions related to Python, SQL, and Quantitative aptitude
(1 Question)
- Q1. Questions related to machine learning alogorithms such as Random Forest, and Linear regression Questions related to machine learning projects 3 puzzles were asked to me one can get from geeks for geeks
(1 Question)
- Q1. Introduce yourself Tell me something how you can apply machine learning to solve daily life problems Where do you see yourself in next 5 years
Interview Preparation Tips
Selected
I applied via Referral and was interviewed before Aug 2023. There was 1 interview round.
(2 Questions)
- Q1. Connections in tableau
- Ans.
Connections in Tableau refer to the relationships between data sources and how they are linked together in a visualization.
Connections in Tableau are established by creating joins between tables or blending data from different sources.
Primary keys and foreign keys are commonly used to establish connections between tables.
Tableau allows for both inner and outer joins to combine data from multiple sources.
Data blending i...
- Q2. What are parameters
- Ans.
Parameters are variables that are used to pass values into a function or method.
Parameters define the inputs that a function or method expects.
They are used to customize the behavior of the function or method.
Parameters can have default values or be optional.
Examples: In a function that calculates the area of a rectangle, the length and width could be parameters.
Examples: In a method that sorts a list, the list to be s
Skills evaluated in this interview
Top trending discussions
Interview questions from similar companies
Selected
I applied via Recruitment Consulltant and was interviewed in Nov 2024. There were 2 interview rounds.
(2 Questions)
- Q1. Can you provide an overview of your background, including your past experiences and daily activities, as well as the tools you use in your routine?
- Ans.
I have a background in data analysis with experience in using tools like Python, SQL, and Tableau.
I have a degree in Statistics and have worked as a Data Analyst for 3 years.
My daily activities include cleaning and analyzing data, creating visualizations, and presenting insights to stakeholders.
I use Python for data manipulation and analysis, SQL for querying databases, and Tableau for creating interactive dashboards.
I...
- Q2. What are the concepts of advanced Excel and Power BI projects, and how are they utilized within a company or for clients?
- Ans.
Advanced Excel and Power BI are tools used for data analysis and visualization in companies and for clients.
Advanced Excel allows for complex data manipulation, analysis, and visualization using features like pivot tables, macros, and VBA programming.
Power BI is a business analytics tool that provides interactive visualizations and business intelligence capabilities, connecting to various data sources.
These tools are u...
(2 Questions)
- Q1. Can you explain your project experience related to Advanced Excel and Power BI?
- Ans.
I have extensive experience in using Advanced Excel and Power BI for data analysis projects.
Created complex formulas and macros in Excel to automate data processing tasks
Designed interactive dashboards in Power BI to visualize and analyze data trends
Integrated data from multiple sources into Power BI for comprehensive analysis
Used Power Query and Power Pivot in Excel to manipulate and analyze large datasets
Provided dat...
- Q2. What are the concepts of credit and operations, particularly in relation to Know Your Customer (KYC) procedures and the privacy of client data?
- Ans.
Credit and operations concepts in relation to KYC procedures and client data privacy.
Credit refers to the extension of money or resources to a client based on their financial history and ability to repay.
Operations involve the day-to-day processes and procedures within a financial institution to ensure smooth functioning.
KYC procedures are used to verify the identity of clients to prevent fraud and money laundering.
Pri...
Interview Preparation Tips
I applied via Campus Placement and was interviewed in Dec 2024. There were 2 interview rounds.
Basics of mathematical ability and verbal ability
(2 Questions)
- Q1. Introduction - explain projects
- Q2. Data analytics explain
Sql python bigdata hadoop hive spark
1 hour simple coding python sql
(5 Questions)
- Q1. Advantages of sql
- Ans.
SQL allows for efficient data retrieval, manipulation, and analysis in relational databases.
SQL is widely used in querying databases to retrieve specific data.
It allows for data manipulation, such as adding, updating, and deleting records.
SQL can perform complex data analysis tasks, such as aggregations and joins.
It provides a standardized language for interacting with relational databases.
SQL is essential for generati...
- Q2. Advantages of python
- Ans.
Python is a versatile programming language known for its simplicity, readability, and vast library support.
Easy to learn and use, making it ideal for beginners and experienced programmers alike
Extensive library support for data analysis, machine learning, web development, and more
Strong community support with active forums and resources for problem-solving
Cross-platform compatibility allows for seamless integration wit...
- Q3. Spark and its benefits
- Ans.
Spark is a fast and powerful big data processing framework that offers benefits like speed, ease of use, and versatility.
Spark is known for its speed, as it can process data up to 100 times faster than traditional Hadoop MapReduce.
It offers ease of use with high-level APIs in Java, Scala, Python, and SQL, making it accessible to a wide range of users.
Spark is versatile, supporting various workloads such as batch proces...
- Q4. Why to leave the company
- Q5. Huddles of data engineer
- Ans.
Huddles of data engineers refer to collaborative meetings or discussions among data engineers to share insights, solve problems, and make decisions.
Huddles are typically informal and can be scheduled or ad-hoc.
They provide a platform for data engineers to brainstorm, troubleshoot, and exchange ideas.
Huddles may involve reviewing code, discussing data pipelines, or addressing technical challenges.
Effective huddles promo...
Skills evaluated in this interview
shrishti patel
Selected
(1 Question)
- Q1. Python and sql related question
(1 Question)
- Q1. Pandas numpy visualisation sql
Alteryx data processing and reporting
I applied via Walk-in and was interviewed in Nov 2024. There were 2 interview rounds.
Online aptitude test with maths and statistics and data analysis
(1 Question)
- Q1. Joins sql groups python numpy pandas
ananthakrishnan
Selected
I applied via Campus Placement and was interviewed in Nov 2024. There was 1 interview round.
(2 Questions)
- Q1. What is star topology
- Q2. Hybrid topology
Interview Preparation Tips
Aditya Nawale
Logical,verbal,quants
(2 Questions)
- Q1. What is lambda function
- Q2. What is subquary
I applied via Naukri.com and was interviewed in Nov 2024. There was 1 interview round.
(1 Question)
- Q1. How to perform Set Actions, LOD's
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