Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
Solutions
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
,Principles of Data Science 1e Shaun Ault, Soohyun and Regression Analysis
Nam Liao, Larry Musolino (OpenStax)
Unit 3 Predicting and
Table of Contents Modeling Using Data
Unit 1 Introducing Data Chapter 5 Time Series
Science and Data Collection and Forecasting
Chapter 1 Chapter 6
What Are Data Decision-
Making Using
and Data
Machine
Science? Learning
Chapter 2 Basics
Collecting and Chapter 7 Deep
Learning and AI Basics
Preparing Data
Unit 4
Unit 2
Maintaining a
Analyzing Data Professional
Using and Ethical
Data Science
Statistics
Practice
Chapter 3
Chapter 8
Descriptive
Statistics: Ethics
Statistical Throughout
Measurements
the Data
and Probability
Distributions Science Cycle
Chapter 4 Inferential Statistics Chapter 9
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
,Visualizing Data
Chapter 10 Reporting Results
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
, Principles of Data Science
Chapter 1
What Are Data and Data Science?
Chapter Review
[1.1, LO 1.1.1, 1.1.2]
1. Select the incorrect step and goal pair of the data science cycle.
a. Data collection: collect the data so that you have something for analysis.
b. Data preparation: have the collected data stored in a server as is so that you can start
the analysis.
c. Data analysis: analyze the prepared data to retrieve some meaningful insights.
d. Data reporting: present the data in an effective way so that you can highlight the
insights found from the analysis.
Solution: b. Data preparation: have the collected data stored in a server as is so that you can
start the analysis.
Rarely is collected data already in good shape for analysis. Most of the time, collected data
needs to be processed to be suitable for the analysis of interest. An example of preparation can
be dealing with missing data—removing them or filling them.
[1.1, LO 1.1.3]
2. Which of the following best describes the evolution of data management in the data science
process?
a. Initially, data was stored locally on individual computers, but with the advent of cloud-
based systems, data is now stored on designated servers outside of local storage.
b. Data management has remained static over time, with most data scientists continuing to
store and process data locally on individual computers.
c. The need for data management arose as a result of structured data becoming
unmanageable, leading to the development of cloud-based systems for data storage.
d. Data management systems have primarily focused on analysis rather than processing,
resulting in the development of modern data warehousing solutions.
Solution: a. Initially, data was stored locally on individual computers, but with the advent of
cloud-based systems, data is now stored on designated servers outside of local storage.
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
Solutions
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
,Principles of Data Science 1e Shaun Ault, Soohyun and Regression Analysis
Nam Liao, Larry Musolino (OpenStax)
Unit 3 Predicting and
Table of Contents Modeling Using Data
Unit 1 Introducing Data Chapter 5 Time Series
Science and Data Collection and Forecasting
Chapter 1 Chapter 6
What Are Data Decision-
Making Using
and Data
Machine
Science? Learning
Chapter 2 Basics
Collecting and Chapter 7 Deep
Learning and AI Basics
Preparing Data
Unit 4
Unit 2
Maintaining a
Analyzing Data Professional
Using and Ethical
Data Science
Statistics
Practice
Chapter 3
Chapter 8
Descriptive
Statistics: Ethics
Statistical Throughout
Measurements
the Data
and Probability
Distributions Science Cycle
Chapter 4 Inferential Statistics Chapter 9
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
,Visualizing Data
Chapter 10 Reporting Results
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
, Principles of Data Science
Chapter 1
What Are Data and Data Science?
Chapter Review
[1.1, LO 1.1.1, 1.1.2]
1. Select the incorrect step and goal pair of the data science cycle.
a. Data collection: collect the data so that you have something for analysis.
b. Data preparation: have the collected data stored in a server as is so that you can start
the analysis.
c. Data analysis: analyze the prepared data to retrieve some meaningful insights.
d. Data reporting: present the data in an effective way so that you can highlight the
insights found from the analysis.
Solution: b. Data preparation: have the collected data stored in a server as is so that you can
start the analysis.
Rarely is collected data already in good shape for analysis. Most of the time, collected data
needs to be processed to be suitable for the analysis of interest. An example of preparation can
be dealing with missing data—removing them or filling them.
[1.1, LO 1.1.3]
2. Which of the following best describes the evolution of data management in the data science
process?
a. Initially, data was stored locally on individual computers, but with the advent of cloud-
based systems, data is now stored on designated servers outside of local storage.
b. Data management has remained static over time, with most data scientists continuing to
store and process data locally on individual computers.
c. The need for data management arose as a result of structured data becoming
unmanageable, leading to the development of cloud-based systems for data storage.
d. Data management systems have primarily focused on analysis rather than processing,
resulting in the development of modern data warehousing solutions.
Solution: a. Initially, data was stored locally on individual computers, but with the advent of
cloud-based systems, data is now stored on designated servers outside of local storage.
Solutions Manual Principles of Data Science 1st Edition By Shaun Ault, Soohyun Nam Liao, Larry Musolino
