Roche Diagnostics Data Analyst Intern Interview Questions and Answers

Logical reasoning numerical English sum

Python power bi sql tablue

Q1. About your self
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Q1. BI and excel presentation on sales related data: all the questions were asked from the presentation only.
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Q2. Why I am switching my job?
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Q1. What is lamda function
Ans. 
Lambda function is an anonymous function in programming that can have multiple arguments but can only have one expression.
• Lambda functions are used for creating small, one-time use functions without the need to define a formal function.

• They are often used in functional programming languages like Python.

• Lambda functions can take any number of arguments, but can only have one expression.

• Example: lambda x: x*2 defines a l
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Q2. Difference between list and tuple
Ans. 
List is mutable, tuple is immutable in Python.
• List can be modified after creation, tuple cannot.

• List uses square brackets [], tuple uses parentheses ().

• List is used for collections of items that may change, tuple for fixed collections.

• Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
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Q1. Explain your previous work experience
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Q2. Explain with example how your work related to real life example
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Q1. What are the basics of power bi
Ans. 
Power BI is a business analytics tool by Microsoft for visualizing and analyzing data.
• Power BI is a business analytics tool by Microsoft

• It allows users to visualize and analyze data from various sources

• Users can create interactive reports and dashboards

• Power BI offers a wide range of data connectors for seamless integration

• It provides features like data modeling, data preparation, and data visualization

• Power BI can be ...read more
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Q1. Questions related to Data analytics and SharePoint for my role.
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Q2. Previous projects and their solutions.
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Q3. Tool used in previous company. (SharePoint, Power BI, Nintex, InfoPath, Power Apps, Workflows)
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Q1. Related to professional life and assurance to work.
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Q1. Salary details and candidature check.
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Q1. Describe project done previously
Ans. 
Developed a predictive analytics model to forecast sales for a retail company
• Collected and cleaned historical sales data

• Used machine learning algorithms to analyze trends and patterns

• Built a forecasting model to predict future sales based on various factors

• Evaluated the model's performance and made adjustments for accuracy
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