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WorksheetsData Science Part A
Total questions: 20
Worksheet time: 10mins
Method used in Data Science
Analytical
Scientific
Who is a data scientist?
Mathematician
Statistician
Software programmer
All of the above
Which of the following is the most important language for Data Science?
Java
Ruby
R
None of the mentioned
What is "Concept study"?
Filling gaps in data
Structuring the data
Understand problem statement
Deeper analysis of dataset
Which of the following approach should be used to ask Data Analysis question?
Find only one solution for particular problem
Find out the question which is to be answered
Find out answer from dataset without asking question
None of the mentioned
Which one is Supervised Learning?
A model makes predictions or decisions based on past or labelled data
A model can identify patterns, anomalies, and relationships in the input data
Which of the following step is performed by data scientist AFTER acquiring the data?
Data Cleansing
Data Integration
Data Replication
All of the mentioned
What skill required by Data Scientist but not in Business Intelligence?
Statistics
Machine Learning
Visualization
Information:
Height, Weight,
Number of people living in your street
Qualitative
Quantitative
Which of the following quantitative data type that take on only a countable number of possibilities?
Discrete
Non Discrete
Continuous
All of the mentioned
“An organized collection of data that based on set of theory that have information relationships based on unique primary and foreign key”
Data Preparation
Data Science
Database
Point out the WRONG statement.
The big volume indeed represents Big Data
The data growth and social media explosion have changed how we look at the data
Big Data is just about lots of data
Which of the following is NOT a machine learning algorithm?
SVM
SVG
Random Forest
None of the mentioned
Business Intelligence is a study that focusing on:
Past and present data
Present data and future prediction
Point out the WRONG statement.
A quantitative data is a numerical outcome of an experiment
There are three types of quantitative data
Continuous quantitative data can take any range value
None of the mentioned
Which one is NOT from Phase 1 of Data Science Life Cycle
Identifying key variables
Learning the target domain
Developing initial hypothesis
Visualize initial hypothesis
What is Quantitative Data?
Numerical Information
Description Information
Which of the following are the Data Sources in data science?
Structured
Unstructured
Both structured and unstructured
None of the above
What's another name for data science?
Information science
Data-driven science
Data-focused science
Information-focused science
Which of the following are correct component for data science?
Data engineering
Advanced computing
Domain expertise
All of the above
