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Exam (elaborations)

DAT 250 EXAM 1 QUESTIONS WITH COMPLETE SOLUTIONS 2026

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What are the 3 types of big data? - ANSWERSstructured, unstructured, semi-structured What percent of data is structured? - ANSWERS5-10% What percent of data is unstructured? - ANSWERS80% What percent of data is semi-structured? - ANSWERS5-10% What type of data is email? - ANSWERSunstructured What is structured data? - ANSWERSData that can be processed in a fixed format. Highly organized information that can be readily available An excel spreadsheet would be which type of data? - ANSWERSStructured, due to organized rows and columns What are the 7 steps of the Data Science Lifestyle? - ANSWERSBusiness Understanding, Data Mining, Data Cleaning, Data Exploration, Feature Engineering, Predictive Modeling, Data Visualization What is Business Understanding? - ANSWERSAsking relevant questions and defining objectives for the problem that needs to be solved. What is Data Mining? - ANSWERS"mining the data" -gathering and scoping the data necessary for the project What is Data Cleaning? - ANSWERS"cleaning the data" -fixing the inconsistencies in the data and handling missing values What is Data Exploration? - ANSWERS"exploring the data" -forming a hypothesis about your defined problem by visually analyzing the data What is Feature Engineering? - ANSWERSSelecting important features & constructing

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DAT 250 EXAM 1 QUESTIONS WITH
COMPLETE SOLUTIONS 2026
What are the 3 types of big data? - ANSWERSstructured, unstructured, semi-structured

What percent of data is structured? - ANSWERS5-10%

What percent of data is unstructured? - ANSWERS80%

What percent of data is semi-structured? - ANSWERS5-10%

What type of data is email? - ANSWERSunstructured

What is structured data? - ANSWERSData that can be processed in a fixed format.
Highly organized information that can be readily available

An excel spreadsheet would be which type of data? - ANSWERSStructured, due to
organized rows and columns

What are the 7 steps of the Data Science Lifestyle? - ANSWERSBusiness
Understanding, Data Mining, Data Cleaning, Data Exploration, Feature Engineering,
Predictive Modeling, Data Visualization

What is Business Understanding? - ANSWERSAsking relevant questions and defining
objectives for the problem that needs to be solved.

What is Data Mining? - ANSWERS"mining the data"
-gathering and scoping the data necessary for the project

What is Data Cleaning? - ANSWERS"cleaning the data"
-fixing the inconsistencies in the data and handling missing values

What is Data Exploration? - ANSWERS"exploring the data"
-forming a hypothesis about your defined problem by visually analyzing the data

What is Feature Engineering? - ANSWERSSelecting important features & constructing
more meaningful ones using the raw data you have.

What is Predictive Modeling? - ANSWERS-"using models to make predictions"
-train machine learning models, evaluate their performance and use them to make
predictions.

What is Data Visualization? - ANSWERS"visualizing the data"

, -communicate the findings with key shareholders using plots and interactive
visualizations.

What is data science? - ANSWERSThe practice of mining large data sets of raw data to
identify patterns and get insight from them.
-raw data is both structured and unstructured

What is AI? - ANSWERSGetting a computer to mimic human behavior in some way.

What is machine learning? - ANSWERSsubset of AI
-giving the computer a brain to learn from data
-helps computers figure things out from data and deliver AI applications

What is one of the most common tools data scientists use? - ANSWERSopen source
notebooks- web applications for writing & running code and visualizing data all in one
place

ex: Jupyter, RStudio, & Zeppelin

Who oversees data science process? - ANSWERSBusiness managers, IT managers,
and Data Science managers

What is the contribution of the business manager? - ANSWERSdevelop the problem
and develop a strategy of analysis

What is the contribution of the IT manager? - ANSWERSmay help build and update IT
environments for data science teams
-monitor operations and resource usage

What is the contribution of the data science manager? - ANSWERSoversees data
science team

team builders who balance development with project planning and monitoring

Who is the most important role in the data science process? - ANSWERSThe data
scientist.

What is secondary use? - ANSWERSInformation collected for one purpose used for
another

How is Google's Personalized Search a secondary source? - ANSWERSThe
information collected from Google about your search queries and Web pages can be
used by companies/retailers for direct marketing.

What is collaborative filtering? - ANSWERSAnalyzing information about preferences of
large numbers of people to predict what one person may prefer.

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