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Data Science is an interdisciplinary field that combines statistical analysis, machine learning, data visualization, and domain-specific knowledge to extract meaningful insights from complex and large datasets. This course covers fundamental concepts such as data manipulation, exploratory data analysis, predictive modeling, and data-driven decision making. Students will develop practical skills in coding with tools like Python or R, work with real-world datasets, and learn best practices for communicating results. By the end of the course, participants will understand how to collect, process, analyze, and interpret data to solve real-world problems in various domains.
Recommended Textbook
Business Intelligence 2nd Edition by Efraim Turban Ramesh Sharda
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6 Chapters
415 Verified Questions
415 Flashcards
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65 Verified Questions
65 Flashcards
Source URL: https://quizplus.com/quiz/27901
Q1) ________ are now extremely compressed; faster, more informed, and better decision making is therefore a competitive imperative. Managers need the right information at the right time and in the right place.
A) R & D
B) Business cycle times
C) Product life cycle
D) Forecasts
Answer: B
Q2) The management of Norfolk Southern, a large freight railroad company, invested in data warehousing technologies. Even though railroad transportation is a mature industry, Norfolk Southern gained a competitive advantage by using its data warehousing technologies to squeeze additional efficiency from its operations.
A)True
B)False
Answer: True
Q3) Critical partnerships required for ________ are a partnership between functional area heads and a partnership between potential customers and providers.
Answer: BI governance
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70 Verified Questions
70 Flashcards
Source URL: https://quizplus.com/quiz/27902
Sample Questions
Q1) Which of the following are created when operational data need to be analyzed multidimensionally?
A) Oper marts
B) Customer information file
C) Dependent data marts
D) Independent data marts
Answer: A
Q2) An ________ is a large-scale data warehouse that is utilized across the enterprise for decision support.
Answer: enterprise data warehouse (EDW)
Q3) ________ is a critical aspect of data warehousing that includes reconciling conflicting data definitions and formats organization-wide.
A) Data modification
B) Fact refinement
C) Data purification
D) Data cleansing
Answer: D
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70 Verified Questions
70 Flashcards
Source URL: https://quizplus.com/quiz/27903
Sample Questions
Q1) A ________ delineates the relationships among the key organizational objectives for all BSC perspectives.
Answer: strategy map
Q2) Describe the series of three steps in the discovery-driven planning (DDP).
Answer: 1. Reverse financials. The first step is to use a set of financial documents to model how all the various assumptions in a plan affect one another; and to determine whether the plan is gaining traction or is at risk.
2. Deliverables specification. The second step is to lay out all the activities required to produce, sell, service, and deliver the product or service to the customer.
3. Assumption checklist. All of the activities required to build a business rest on key assumptions. In this step, a written checklist of each of the assumptions associated with the project deliverables laid out in step 2 is created.
Q3) A ________ is the quantification of an objective for a designated period of time. For example, if an organization has an objective of increasing profitability, that objective is turned into quantified targets.
Answer: strategic goal
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70 Verified Questions
70 Flashcards
Source URL: https://quizplus.com/quiz/27904
Sample Questions
Q1) In order to be applied successfully, a data mining study must be viewed as a set of automated software tools and techniques.
A)True
B)False
Q2) List five of the data mining mistakes often made in practice.
Q3) With ________, a fixed number of instances from the original data is sampled (with replacement) for training and the rest of the dataset is used for testing. This process is repeated as many times as desired.
Q4) Compared to the other steps in CRISP-DM, data preprocessing consumes the most time and effort; most believe that this step accounts for roughly 80 percent of the total time spent on a data mining project
A)True
B)False
Q5) ________ data mining finds patterns, associations, and other relationships hidden within datasets. It can uncover facts that an organization had not previously known or contemplated.
Q6) The model's ability to make reasonably accurate predictions, given noisy data or data with missing and erroneous values, is called ________.
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Available Study Resources on Quizplus for this Chatper
70 Verified Questions
70 Flashcards
Source URL: https://quizplus.com/quiz/27905
Sample Questions
Q1) Text mining is important to competitive advantage because knowledge is power, and knowledge is derived from text data sources.
A)True
B)False
Q2) List three business applications of Web mining.
Q3) The quality of search results is impossible to measure accurately using strictly quantitative measures such as click-through rate, abandonment, and search frequency. Additional quantitative and qualitative measures are required.
A)True
B)False
Q4) It has been shown that the bag-of-word method may not produce good enough information content for text mining tasks. More advanced techniques such as ________ are needed.
A) classification
B) natural language processing
C) evidence-based processing
D) symbolic processing
Q5) Compare and contrast text mining and data mining.
Q6) ________ is the process of reducing inflected words to their base or root form.
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70 Flashcards
Source URL: https://quizplus.com/quiz/27906
Sample Questions
Q1) Social network analysis (SNA) software is used to identify, represent, analyze, visualize, or simulate network nodes and edges from various types of input data.
A)True
B)False
Q2) Mobile social networking is much ________ popular in Japan, South Korea, and China than it is in the West.
Q3) ________ content is a major characteristic of Web 2.0, as is the emergence of social networking.
Q4) Privacy has long been a(n) ________ issue.
A) legal
B) ethical
C) social
D) all of the above
Q5) List three reasons for BI project failures.
Q6) Define the components of RFID and how active and passive tags works.
Q7) In addition, members of social networks can tag the content they create and post it with key words they choose themselves, which makes the content ________.
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Q8) Describe three representative characteristics of the Web 2.0 environment.
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