Target (India)is hiring for Dataanalysts
Locations: Location: Bangalore.
Interview rounds: 3 Not mentioned

location: tower 02, manyata embassy business park, bangalore, india, 540065;
job id: R0000295710
job family: Product Content Management
schedule: Full time

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IBM (India)is hiring for Dataanalysts
Locations: Location: Bangalore.

Category:Infrastructure & Technology
Employment Type:Full-Time
Travel Required:No Travel

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Ready to explore the cutting-edge world of tech and SaaS ? Join our co-channel for thought-provoking discussions, latest trends, and visionary perspectives. Simply hit the 'Join' button and become part of our community that's shaping the future of innovation. Stay connected, stay informed with Lizefly
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🔴Tata Technologies is hiring for Data analysts
Location: Bangalore📍
Note: Only apply if your ready to travel to Bangalore (Fulltime/Permanent job)

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🔴NTT GROUP is hiring for Data analysts
Location: Bangalore📍
Note: Only apply if your ready to travel to Bangalore (Fulltime/Permanent job)

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🔴KPMG (India/abroad) hiring for
Data analysts✈️
Locations: Multiple locations

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🔴NESTLE INDIA hiring for
Data analysts✈️
Locations: Multiple locations

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🔴DMART INDIA hiring for Freshers
Locations: Multiple locations

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🔴 ICICI is hiring for Freshers
Locations: Multiple locations

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🔴 Siemens IND is hiring for Freshers
Locations: Bangalore

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🔴Carwale is hiring for Freshers
Locations: Multiple locations

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👇Top 5 #Dataanalyst interview questions👇

1. What is the difference between a list and a tuple in Python?
A list is a mutable data structure, meaning its elements can be changed after creation, while a tuple is immutable, meaning its elements cannot be modified once assigned.

2. Explain the concept of "list comprehension" in Python.
List comprehension is a concise way to create lists. It allows you to generate a new list by applying an expression to each item in an existing iterable (like a list or a range) and optionally applying a filter condition.

3. How would you handle missing or null values in a dataset using Python?
Missing values can be handled by using methods like .fillna() to replace them with a specified value or using techniques like interpolation. Additionally, libraries like Pandas provide functions to detect, filter, or impute missing values.

4. What is Pandas, and how would you use it for data analysis?
Pandas is an open-source library in Python used for data manipulation and analysis. It provides data structures like DataFrames for handling structured data. You can use it to load data from various sources, perform data cleaning, filtering, aggregation, and visualization.

5. Explain the difference between a join and a merge operation in Pandas.
Both join and merge operations in Pandas are used to combine data from different DataFrames. The key difference is in how they handle the column(s) used for combining:Join: Combines DataFrames based on their indices or specified columns, preserving only the matching rows.
Merge: Combines DataFrames based on specified columns, allowing more flexibility in how columns are matched and combined.

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🔴SHELL is hiring for Data analysts
📍Locations: Netherlands

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🔴Flipkart India hiring for Dataanalyst✈️
Location: Bangalore,Karnataka

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🔴EY India hiring for Dataanalysts

Location: Abroad, Ebene

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🔴EY India hiring for Analysts

Location: Abroad, Texas

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