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WorksheetsDATAFEST Quiz-Level 1
Total questions: 10
Worksheet time: 10mins
Priya, Aria, and Ava are having a debate. According to them, which of the following best describes the principal goal of data science?
To collect and archive exhaustive data sets from various source systems for corporate record keeping uses.
To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains.
To collect and prepare data for use as part of analytics applications.
Ethan, Henry, and Charlotte are on a quest to become data scientists! What is the first step they should take in their data science journey?
Collecting data and preparing it for analysis.
Experimenting with and tuning different analytical models.
Defining an analytical hypothesis that could provide business value.
Evelyn, David, and James are having a debate. They are trying to figure out the primary difference between a data scientist and a data engineer. Can you help them?
David thinks that a data engineer collects and prepares data, and a data scientist then analyzes it.
Evelyn believes that a data engineer analyzes data after a data scientist collects and prepares it.
James suggests that a data engineer builds data pipelines and helps prepare data, while a data scientist is responsible for data collection, preparation and analysis.
Imagine Grace, Daniel, and Isla are in a heated debate! They're discussing whether a successful data scientist needs a mix of technical skills, nontechnical ones, and the right personality traits. Who do you think is right?
They all are right
None of them are right
Imagine William, Jackson, and Mia are in a coding competition. They are asked to use the most popular programming languages among data scientists. Which languages should they choose?
C and C++
Python, R and SQL
Java and JavaScript
Imagine Aria, Isla, and James are data scientists. Which of the following analytical and statistical techniques do you think they would commonly use in their work?
Classification
Regression
Clustering
All of these
Imagine Harper, Rohan, and Oliver are in a heated debate about machine learning. They are trying to figure out the primary difference between supervised and unsupervised learning. Can you help them out?
Supervised learning involves data that has been labeled and classified, while unsupervised learning data is unlabeled and unclassified.
Supervised learning is monitored closely by data scientists, while they don't play a role in unsupervised learning.
Supervised learning is only used for image recognition, while unsupervised learning can be used for various analytics applications.
Evelyn, Henry, and Grace are having a debate. Evelyn says that bias is a common problem in data science applications. Henry disagrees. Who do you think is correct?
Evelyn
Henry
Aiden, Nora, and Avery are data scientists working on a big project. Why would they find data sampling useful?
It allows them to analyze data sets in small, manageable batches, reducing their use of system resources.
It reduces the amount of data storage space that's required for their data science applications.
It enables them to use a representative subset of data to build accurate analytical models more quickly.
Imagine Michael, Priya, and David are data scientists. What is a common saying about their work routine?
They spend 80% of their time finding and preparing data and 20% analyzing it.
They spend 80% of their time analyzing data and 20% finding and preparing it.
They spend 80% of their time on failed analytics projects and 20% doing useful work.
