TCS Data Analyst Interview Questions, Process, and Tips

Q1. Index, constraints, union
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Q1. Salary based questionsd
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Q1. What is implicit and explicit measures
Ans. 
Implicit and explicit measures are two types of assessments used in data analysis to gather information.
• Implicit measures are unconscious assessments that are not easily controlled or influenced by the individual being assessed.

• Explicit measures are conscious assessments that are directly stated or easily articulated by the individual being assessed.

• Implicit measures are often used in psychology to assess attitudes or ...read more
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Q2. Difference between power bi and tableau
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Power BI is more user-friendly and integrates well with Microsoft products, while Tableau offers more advanced visualization capabilities.
• Power BI is more user-friendly and integrates well with Microsoft products

• Tableau offers more advanced visualization capabilities

• Power BI is better suited for users who are familiar with Microsoft products

• Tableau is preferred by users who require more complex data visualization and a...read more
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Q1. Basic SQL questions using group by order by
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Q2. Python, numpy pandas question
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It was conducted in hacker rank

Q1. Explain some of the ML algorithms
Ans. 
Machine learning algorithms are models that learn patterns from data to make predictions or decisions.
• Supervised learning algorithms: Decision Trees, Random Forest, Support Vector Machines

• Unsupervised learning algorithms: K-means clustering, Hierarchical clustering, Principal Component Analysis

• Reinforcement learning algorithms: Q-learning, Deep Q Networks

• Neural network algorithms: Convolutional Neural Networks, Recurre
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Q2. Explain the flow of data analysis
Ans. 
Data analysis involves collecting, cleaning, processing, analyzing, and interpreting data to extract insights and make informed decisions.
• Collect data from various sources

• Clean and preprocess data to remove errors and inconsistencies

• Perform statistical analysis and data mining techniques

• Visualize data using charts, graphs, and dashboards

• Interpret results and draw conclusions

• Communicate findings to stakeholders
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Q1. Where do you see yourself in next 5 years
Ans. 
In the next 5 years, I see myself advancing my skills in data analysis, taking on more responsibilities, and potentially leading a team.
• Advancing skills in data analysis through continuous learning and training

• Taking on more responsibilities such as leading projects or teams

• Potentially moving into a leadership role within the data analysis field
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