Interview questions in business analytics. (2016)

• Record Type: Book
• Further Information: Note: Bhasker Gupta.
• Authors: Gupta, Bhasker
• Contents: At a Glance; Contents; About the Author; About the Technical Reviewer; Acknowledgments; Introduction; Chapter 1: Introduction to Analytics; Q: What is analytics?; Q: Why has analytics become so popular today?; Q: What has led to the explosion of analytics into the mainstream?; Q: How is analytics used within e-commerce and marketing?; Q: How is analytics used within the financial industry?; Q: How is analytics used within the retail industry?; Q: How is analytics used in other industries?; Q: What are the various steps undertaken in the process of performing analytics? Q: Can you explain why it's important to have an understanding of business?Q: Why is business understanding such an integral part of analytics?; Q: What is modeling?; Q: What are optimization techniques?; Q: What is model evaluation?; Q: What is in-sample and out-of-sample testing?; Q: What are response models?; Q: What is model lift?; Q: Can you explain the deployment of an analytics model? Why is it important?; Q: How are predictive and descriptive analytics differentiated?; Q: How much can we rely on the results of analytics?; Q: Can you briefly summarize the tools used in analytics. Chapter 2: Data UnderstandingQ: What are the four types of data attributes?; Q: Can you explain the nominal scale in detail?; Q: What are some of the pitfalls associated with the nominal scale?; Q: Can you explain the ordinal scale in detail?; Q: What are some of the pitfalls of the ordinal scale?; Q: Where are ordinal scales most commonly used?; Q: What is meant by data coding?; Q: Can you explain the interval scale in detail?; Q: What are the two defining principles of an interval scale?; Q: What are the characteristics of the ratio scale? Q: What are the limitations of scale transformation?Q: In 2014, Forbes ranked Bill Gates as the richest man in the United States. According to what scale of measurement is this ranking?; Q: How are continuous and discrete variables differentiated?; Q: How are primary and secondary data differentiated?; Q: Broadly, what are the four methods of primary data collection?; Q: What is meant by primary data collection by observation?; Q: What is primary data collection by in-depth interviewing?; Q: What is primary data collection by focus groups? Q: What is primary data collection by questionnaires and surveys?Q: What is data sampling?; Q: What are the different types of sampling plans?; Q: What is simple random sampling?; Q: What is stratified random sampling?; Q: What is cluster sampling?; Q: What are the different errors involved in sampling?; Q: What causes a sampling error?; Q: What is a non-sampling error?; Q: What are the three types of non-sampling errors?; Q: Can you identify some errors in data acquisition?; Q: When does selection bias occur?; Q: What is data quality?; Q: What is data quality assurance?
• Publisher Details: Berkeley, CA : Apress
• Publication Date: 2016
• Copyright Date: 2016
• Extent: 1 online resource (xxiii, 94 pages), illustrations (some color)
• Subjects: 331.702; Computer science; Business -- Vocational guidance; Interviewing; BUSINESS & ECONOMICS -- Labor; POLITICAL SCIENCE -- Labor & Industrial Relations; Business -- Vocational guidance; Interviewing; Computer Science; Information Systems and Communication Service; Computers -- Online Services -- General; Computer networking & communications; Big data; Information systems; Computers -- Database Management -- General; Databases; Electronic books
• Languages: English
• ISBNs: 9781484205990; 1484205995
• Related ISBNs: 9781484206003
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed August 15, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.