Market Research Future Reports Data Scientist Interview Questions and Answers

1 hour aptitude test

Q1. What is one hot encoding
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Q1. What is your long term goal
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Q1. General details and get to know questions.
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Q1. Basics of statistics and Machine learning model
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Q1. Machine learning model in detail
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Machine learning model is a type of artificial intelligence that allows computers to learn from data and make predictions or decisions.
• Machine learning models are trained on large datasets to identify patterns and relationships.

• There are different types of machine learning models such as supervised, unsupervised, and reinforcement learning.

• Supervised learning models are trained on labeled data to make predictions on ne...read more
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Q1. Behavioural questiona and bit of machine learning
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Basic Leetcode Questions

Q1. Basic NLP Questions
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Q2. What is IF-IDF and why used?
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IF-IDF stands for Inverse Document Frequency - Term Frequency. It is used in information retrieval to measure the importance of a term in a document.
• IF-IDF is a numerical statistic that reflects how important a word is to a document in a collection or corpus.

• It is calculated by multiplying the term frequency (TF) by the inverse document frequency (IDF) of the term.

• IF-IDF helps in identifying the most relevant words in ...read more
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Q3. Word Embedding?
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Q1. API and production level questions
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It was basic with puzzles and sql

Case study about a pharma company entering a new market, customer segmentation and also past projects discussion.

Simple Aptitude questions, Data interpretation and verbal

Q1. Basic questions on Data Analytics, Projects mentioned
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Q2. Code in SQL and python(moderate)
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The candidate is asked to code in SQL and Python at a moderate level.
• Use SQL to query data from databases

• Use Python to manipulate and analyze data

• Practice writing SQL queries and Python scripts
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Q3. Machine Learning
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Online Aptitude test

Q1. With the Manager one on one round. Problem solving and analytical skill questions
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Q2. Basic Problem solving aptitude question
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Q1. Salary Discussion and Location
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Q1. We need to complete 40 questions in 20 mins
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Mathametics and statistics besed on the subject .

This test also i interested.

Q1. I knlw the statistical technical skill.
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Q2. Data analysis with statistical tools
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Data analysis involves using statistical tools to analyze and interpret data.
• Statistical tools help in summarizing and visualizing data

• They can be used to identify patterns, trends, and relationships in the data

• Common statistical tools include regression analysis, hypothesis testing, and clustering

• Statistical tools help in making data-driven decisions and predictions
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