Homework 1. Analysing and visualing data.
Review
The Power of Good Design and select three of the ten principles noted for good design. Next in R, utilize these three principles in a problem that you will solve. First note the problem to solve, the dataset (where the information was pulled from), and what methods you are going to take to solve the problem. Ensure the problem is simple enough to complete within a two-page document. For example, I need to purchase a house and want to know what my options are given x amount of dollars and x location based on a sample of data from Zillow within each location.
Ensure there is data visualization in the homework and note how it relates to the three principles selected.
Link for the power of good design (
https://www.vitsoe.com/gb/about/good-design)
Homework 2
( Business Intelligence(chapter 3 and 4))
Complete the following assignment in one MS Word document:
Chapter 3.
How do you describe the importance of data in analytics? Can we think of analytics without data? Explain.
Considering the new and broad definition of business analytics, what are the main inputs and outputs to the analytics continuum?
Where do the data for business analytics come from? What are the sources and the nature of those incoming data?
What are the most common metrics that make for analytics-ready data?
Go to data.gov—a U.S. government–sponsored data portal that has a very large number of data sets on a wide variety of topics ranging from healthcare to education, climate to public safety. Pick a topic that you are most passionate about. Go through the topic-specific information and explanation provided on the site. Explore the possibilities of downloading the data, and use your favorite data visualization tool to create your own meaningful information and visualizations.
Chapter 4.
Define data mining. Why are there many names and definitions for data mining?
What are the main reasons for the recent popularity of data mining?
Discuss what an organization should consider before making a decision to purchase data mining software.
Distinguish data mining from other analytical tools and techniques.
Discuss the main data mining methods. What are the fundamental differences among them?
Visit teradatauniversitynetwork.com. Identify case studies and white papers about data mining. Describe recent developments in the field of data mining and predictive modeling.
Homework 3.
Your task this week is to write a research paper that contains the following:
· What is identification as a service (IDaaS)?
· What are some of the challenges related to identity management?
· What are some of the IDaaS solutions offered by various companies?
Research Paper Requirements:
· Paper should be approximately four to six pages in length, not including the title page and reference page.
· Use Times New Roman, size 12 font throughout the paper.
· Apply APA 7th edition style and include three major sections: the Title Page, Main Body, and References. See the
Paper Elements and Format section of your APA manual for details.
· A minimum of two scholarly journal articles (besides your textbook) are required.
· Writing should demonstrate a thorough understanding of the materials and address all required elements.
· Writing should use exceptional language that skillfully communicates meaning to the readers with clarity and fluency and is virtually error-free.
· Save as a Word document.
