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Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 9 The Landscape of Software Tools and Languages€7,83
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Business Intelligence, Analytics, Data Science, An
Business Intelligence, Analytics, Data Science, an
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Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 9 The Landscape of Software Tools and Languages
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Business Intelligence, Analytics, Data Science, An
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban
Chapter 9 The Landscape of Software Tools and Languages
1) Seagate, mentioned in the opening vignette, designs and manufactures data storage and management solutions.
Answer: TR...
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Business Intelligence, Analytics, Data Science,
and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban
Chapter 9 The Landscape of Software Tools and Languages
1) Seagate, mentioned in the opening vignette, designs and manufactures data storage and
management solutions.
Answer: TRUE
Diff: 1 Page Ref: 525
2) With recent advancements in software technologies, the landscape of analytics tools is
consolidating and contracting at an unprecedented pace.
Answer: FALSE
Diff: 2 Page Ref: 527
3) The success of data scientists at work depends largely on the tool (or perhaps more accurately,
the toolbox) they rely on.
Answer: TRUE
Diff: 1 Page Ref: 527
4) In academia, analytics courses allocate sufficient time and coverage for the deployment of the
solution/model phase.
Answer: FALSE
Diff: 2 Page Ref: 528
5) Recently, we have been witnessing raising interest in commercial, proprietary analytics
software tools.
Answer: FALSE
Diff: 1 Page Ref: 528
6) Previously, analysts have always had access to free, but scaled- down, time limited, or
capability constrained, versions of commercial analytics tools.
Answer: TRUE
Diff: 1 Page Ref: 527
7) Open source refers to the software programs whose source code is open to the public to
access, validate, modify, improve, and extend.
Answer: TRUE
Diff: 1 Page Ref: 529
,science by making their tools receptive and friendly to the consumption of other open source
platforms, especially to R and Python.
Answer: TRUE
Diff: 2 Page Ref: 529-530
, 9) Orange is a visual analytics tool that allows for model development locally and solution
deployment on the server/cloud.
Answer: FALSE
Diff: 1 Page Ref: 529-530
10) SAS Viya is a free, open source, and cloud-based analytics platform.
Answer: FALSE
Diff: 1 Page Ref: 530
11) R is one of the most popular visual, workflow type analytics tools.
Answer: FALSE
Diff: 1 Page Ref: 536
12) Although Google Colab is originally designed for Python programming, it can be used for R
programming with some setup procedures.
Answer: TRUE
Diff: 2 Page Ref: 537
13) In the R tutorial, a linkage between employee churn and salary is illustrated with a scatter
plot.
Answer: FALSE
Diff: 2 Page Ref: 543
14) Rattle is a popular GUI for data mining, which can be launched and used within Python
environment.
Answer: FALSE
Diff: 2 Page Ref: 547
15) Unlike R, Python is not just for analytics, but is a general-purpose programming language.
Answer: TRUE
Diff: 1 Page Ref: 549
16) The tutorial dedicated to Python programming for analytics provides an excellent application
of customer attrition, also called as churn analysis.
Answer: FALSE
Diff: 2 Page Ref: 552
17) In Python, the two most popular libraries used for data ingestion, representation, and
manipulation are called NumPy and Panda.
Answer: TRUE
Diff: 2 Page Ref: 552
18) KNIME is a free, open-source analytics tool that also provides server extension for a fee.
Answer: TRUE
Diff: 1 Page Ref: 558
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