Background: This course is all about data visualization. However, we must first have some understanding about the dataset that we are using to create the visualizations.

Assignment:

• Use RStudio to generate a word document with basic data analysis of the following dataset: 
• Use the following video to learn the simple commands to conduct basic data analysis with RStudio:

Questions/Requests:

• Create a summary of stats for the dataset. (provide a screen shot)
• Create a correlation of stats for the dataset. (provide a screen shot) (Hint: Transform may be needed)
• What is the Min, Max, Median, and Mean of the Price? (provide a screen shot)
• What is the correlation values between Price, Ram, and Ads? (provide a screen shot)
• Create a subset of the dataset with only Price, CD, and Premium. (provide a screen shot)
• Create a subset of the dataset with only Price, HD, and Ram where Price is greater than or equal to $1750. (provide a screen shot)
• What percentage of Premium computers were sold? (provide a screen shot)(Hint: Categorical analysis)
• How many Premium computers with CDs were sold? (provide a screen shot)(Hint: Contingency table analysis)
• How many Premium computers with CDs priced over $2000 were sold? (provide a screen shot)(Hint: Conditional table analysis)

Your document should be an easy-to-read font in MS Word (other word processors are fine to use but save it in MS Word format). Your cover page should contain the following: Title, Student’s name, University’s name, Course name, Course number, Professor’s name, and Date.

For this assignment, you will identify any dataset in the course (see: ~\content –> ~\datasets) and prepare a PowerPoint presentation with data visualizations and graphics from RStudio. Using (6-8 slides) in PowerPoint describe a potential problem related to your chosen dataset. The target audience is a manager who you are trying to convince to initiate a project to investigate the potential issues.

Suggestions:

• Begin with a description of your chosen dataset and describe its significance to the reader
• Where necessary, you may make assumptions about any specifics. 
• You are required to add comments about your content in your presentation notes.
  • Only exception is if you create a video. 
  • This is always needed if you are not presenting content live
• Draw from the assigned readings (and independent research) to identify what additional topics should be included.
  • If you feel that slide information is not self-explanatory, add additional details in the presentation notes.
• Your slides should contain minimal text (one or two lines maximum) that briefly reinforce your data visualizations.

Reply Post

Reply to 2 – 3 posts on your classmates’ posting, providing your thoughts on the issues presented.

Provide your response on whether you (as a manager) would approve/disapprove of the project based on the results of the presentation.

Please read BitGold case study (see HBS Coursepack) and answer the following questions with substantive answers in a cohesive essay. Your paper should be at least 3 pages in length. Use proper grammar, spelling, citations, etc.

1. BitGold’s IPO took place in Canada; however, as a global platform, BitGold aimed to appeal to users in developing countries around the world. Where should BitGold focus on acquiring users?2. How could BitGold continue to stay on the right side of the law?3. How could BitGold market its services to users and merchants, both in Canada and abroad?4. Given the uneven state of the regulatory environment in the United States with respect to bitcoin startups, how should BitGold organize its US expansion?

Compose your essay in APA format, including the introduction and conclusion, and in-text citations for all sources used. In addition to your 3 page (minimum) essay, you must include an APA-style title page and reference page. Click the assignment link to compare your work to the rubric before submitting it. Click the same link to submit your assignment.

The attached journal article focus on transformational leadership and knowledge sharing within an organization, please review these concepts and answer the following questions:

1. How do trustworthy and ethical leaders enhance knowledge sharing in organizations?  How does this impact the rate of information technology implementations?  How does this impact data management within organizations? 

2. How does servant leadership assist with transferring knowledge in an organization?

3. When thinking about data analytics, how does transformational leadership assist with building good data structures?

Format Requirements:

1. The paper must be minimum 3 pages excluding title and references pages. 

2. Include references of at least 5 peer reviewed papers supporting your case study. 

3. The paper must comply APA Format and include a cover page, an  introduction, a body with fully developed content, a conclusion and  references.

Discussion 1 (Chapter 8): Excel is probably the most popular spreadsheet software for PCs. Why? What can we do with this package that makes it so attractive for modeling efforts?

Discussion 2 (Chapter 9): 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 response should be 250-300 words.  Respond to two postings provided by your classmates.

1.How does prescriptive analytics relate to descriptive and predictive analytics?

2. Explain the differences between static and dynamic models. How can one evolve into the other?

3. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty?

4. Explain why solving problems under uncertainty sometimes involves assuming that the problem is to be solved under conditions of risk.

Exercise 

Investigate via a Web search how models and their solutions are used by the U.S. Department of Homeland Security in the “war against terrorism.” Also investigate how other governments or government agencies are using models in their missions.

1.What is Big Data? Why is it important? Where does Big Data come from?

2. What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?

3. What is Big Data analytics? How does it differ from regular analytics?

4. What are the critical success factors for Big Data analytics?

5. What are the big challenges that one should be mindful of when considering implementation of Big Data analytics?

Exercise: 

At teradatauniversitynetwork.com, go to the Sports Analytics page. Find applications of Big Data in sports. Summarize your findings.