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There is much discussion regarding Data Analytics and Data Mining. Sometimes these terms are used synonymously but there is a difference.
What is the role of NLP in text mining? Discuss the capabilities and limitations of NLP in the context of text mining.
In the era of Big Data, are we about to witness the end of data warehousing? Why?
What are the different types of attributes? What is the difference between discrete and continuous data?
In this assignment, you will explore the role of data visualization in presenting complex data to management.
What is the difference between discrete and continuous data? Why is data quality important?
Use Excel's Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?
Write a briefing paper on the cyber threats facing a particular nation. The analysis will need to take into account historical and current enemies.
Review several job descriptions at indeed and other cites to determine some of the most important skills necessary for each of them.
Discuss your experience in creating your Network Business Plan. What challenges did your group face creating your network? How did you solve them?
How do you define big data? What are the implications from the three industry trends (Three V's), presented in the textbook, by the Gardner Group?
This site is managed by the author of the textbook. Pick one option and note it by the name in the website. For example " HTML Color Picker".
Identify a business process that could be greatly improved by leveraging RFID technology. What added business value would RFID bring to the process?
Explain how data visualization conveys the information to the audience, such as accountants or executives in terms of budgetary proposals.
What could you do/would you need to do to clean or modify the existing data to create new values to work with?
How does prescriptive analytics relate to descriptive and predictive analytics?
For this assignment, you will examine the data collection instruments used in two peer-reviewed articles on a technology topic and present the findings.
Compare the difference in each of the following clustering types: prototype-based, density-based, graph-based. What is a scalable clustering algorithm?
What are the common business problems addressed by Big Data analytics? In the era of Big Data, are we about to witness the end of data warehousing? Why?
Your Chief Information Officer (CIO) has asked you to begin researching how Big Data might be useful at your company.
Discuss insertion, deletion, and modification anomalies. Why are they considered bad? Illustrate with examples.
Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.
It is not required to provide a detailed explanation of the 3DES encryption algorithm.
What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structureinto them.
What are the techniques in handling categorical attributes? How do continuous attributes differ from categorical attributes?