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I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.
Asked about the general informations about the current trends
Various software tools are used depending on the specific analysis being conducted.
Statistical software like SPSS, SAS, or R
Data visualization tools like Tableau or Power BI
Programming languages like Python or R for data analysis
Database management systems like SQL Server or Oracle
Some basic stuff to test your attitude
What people are saying about TCS
I applied via Campus Placement and was interviewed in Apr 2022. There were 4 interview rounds.
2 and half hours of exam it contains the questions about distances problems,time,speed,LCM,HCF and also reasoning- puzzles,directions,alphabet based questions.
C, C++, and Java are programming languages with different syntax and features. Inheritance is a way to create new classes based on existing ones.
C is a procedural language, while C++ and Java are object-oriented.
C++ supports multiple inheritance, while Java only supports single inheritance.
Inheritance allows for code reuse and can help with organization and maintenance of code.
Types of inheritance include single, multi...
Encapsulation is the process of hiding internal details and providing a public interface. Example: Encapsulating data in a class.
Encapsulation is a fundamental concept in object-oriented programming.
It involves bundling data and methods together into a single unit called a class.
The class provides a public interface for interacting with the data, while hiding the implementation details.
Encapsulation helps in achieving ...
TCS interview questions for designations
I applied via Company Website and was interviewed before Nov 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before May 2020. There were 6 interview rounds.
Big data analysis involves collecting, processing, and interpreting large and complex data sets to extract valuable insights.
Identify the problem and define the objectives
Collect and clean the data
Choose appropriate analytical techniques
Apply statistical and machine learning algorithms
Visualize and communicate the results
Iterate and refine the analysis
Examples: sentiment analysis, predictive modeling, clustering
I appeared for an interview before Sep 2016.
I appeared for an interview in Jul 2017.
To leverage my skills and passion for technology in a field that offers diverse opportunities for growth and innovation.
Passion for technology and its advancements
Strong analytical and problem-solving skills
Desire to work in a field that offers diverse opportunities for growth and innovation
Transferable skills from other branch that can be applied in IT
Interest in staying updated with the latest trends and developments
based on 5 interviews
Interview experience
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