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I applied via Naukri.com and was interviewed in Jun 2022. There were 4 interview rounds.
Data mining involves discovering patterns and relationships in large datasets, while data analysis focuses on interpreting and drawing insights from data.
Data mining is the process of extracting useful information from large datasets.
Data analysis involves examining and interpreting data to draw conclusions and make informed decisions.
Data mining uses techniques like clustering, classification, and association to disco...
Data validation is the process of ensuring that data is accurate, complete, and consistent.
Data validation involves checking data for errors, inconsistencies, and anomalies.
It helps to ensure data quality and reliability.
Validation can be done through various techniques such as range checks, format checks, and cross-field validation.
Examples of data validation include verifying that a phone number has the correct numbe...
Data analysis involves several steps including data collection, data cleaning, data exploration, data modeling, and data visualization.
Data collection: Gathering relevant data from various sources.
Data cleaning: Removing any errors, inconsistencies, or missing values from the data.
Data exploration: Analyzing the data to understand its characteristics and identify patterns or trends.
Data modeling: Applying statistical o...
Data cleansing is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in datasets.
Data cleansing involves identifying and handling missing values in datasets.
It also includes removing duplicate records or entries.
Data cleansing may involve correcting spelling mistakes or formatting issues in data.
It helps improve data quality and reliability for analysis and decision-making.
E...
Assignments based on data analyst
posted on 10 Dec 2020
I applied via Naukri.com and was interviewed in Jun 2020. There were 3 interview rounds.
I chose this role because of my passion for analyzing data and problem-solving skills.
I have a strong background in data analysis and problem-solving from my previous roles.
I enjoy working with data and finding insights to drive business decisions.
I have excellent communication skills to effectively collaborate with stakeholders and translate data into actionable insights.
I applied via Recruitment Consultant and was interviewed in Jul 2021. There was 1 interview round.
Data manipulation using pandas and SQL
Pandas is a Python library used for data manipulation and analysis
SQL is a language used for managing relational databases
Pandas can read data from SQL databases using the read_sql() function
Data can be filtered, sorted, grouped, and aggregated using pandas functions
SQL queries can be executed using pandas' read_sql_query() function
I applied via LinkedIn and was interviewed in Aug 2023. There were 2 interview rounds.
Simple and basic coding knowledge is enough to clear this round
posted on 18 Mar 2024
I applied via Approached by Company and was interviewed before Mar 2023. There were 3 interview rounds.
I volunteered to work overtime to complete a critical project ahead of schedule.
Offered to work extra hours to meet project deadline
Took on additional tasks to ensure project success
Collaborated with team members to streamline processes and improve efficiency
I applied via Campus Placement and was interviewed in Feb 2024. There were 2 interview rounds.
30 questions: aptitude ,output questions, 3 coding questions
Mostly to connect front end and backend
I applied via Naukri.com and was interviewed in Mar 2024. There were 2 interview rounds.
Top 7 th employee salary
Find Duplicates
A trigger is a special type of stored procedure that is automatically executed when certain events occur in a database.
Triggers are used to enforce business rules, maintain data integrity, and automate tasks.
They can be set to execute before or after INSERT, UPDATE, or DELETE operations on a table.
For example, a trigger can be created to update a log table whenever a new record is inserted into a main table.
Power BI has different modes like View, Edit, and Data Source.
View mode allows users to interact with reports and dashboards
Edit mode enables users to modify existing reports and create new ones
Data Source mode allows users to connect to and manipulate data sources
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