All posts by : chebby

In 80 words or more answer the following questions. What if your organization has a lot of its IT presence in the cloud? How would your organization conduct audits on the cloud provider? 

CONTEXTUAL THINKING ABOUT DIFFERENT SCENARIOS

This exercise involves you using imagination and logical reasoning to occupy the mindset of a visualiser facing the task of formulating a brief for different scenarios. Imagine you are given the challenge of creating a visualisation/infographic in each of the following made-up scenarios:

THE SUBJECT: Texas Department of Criminal Justice

Scenario A: A pro-capital punishment (local/national) newspaper reporting on the milestone of the 500th execution (pretend it is 2013, there have now been more than 500)

Scenario B: Analyst staff at the Texas Department of Criminal Justice reporting to senior management about aspects of their operations

Scenario C: A campaign group looking to influence the debate about the ending of capital punishment

Website reference: Executed Offenders dataset

Assignment Link: http://book.visualisingdata.com/chapter/chapter-3

There is much discussion regarding Data Analytics and Data Mining.  Sometimes these terms are used synonymously but there is a difference.  What is the difference between Data Analytics vs Data Mining? Please provide an example of how each is used.

Please make your initial post and two response posts substantive. A substantive post will do at least TWO of the following:

· Ask an interesting, thoughtful question pertaining to the topic

· Answer a question (in detail) posted by another student or the instructor

· Provide extensive additional information on the topic

· Explain, define, or analyze the topic in detail

· Share an applicable personal experience

· Provide an outside source (for example, an article from the UC Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)

· Make an argument concerning the topic.

At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.

1 Financial Condition of Banks. The file Banks.csv includes data on a sample of 20 banks. The “Financial Condition” column records the judgment of an expert on the financial condition of each bank. This outcome variable takes one of two possible values—weak or strong—according to the financial condition of the bank. The predictors are two ratios used in the financial analysis of banks: TotLns&Lses/Assets is the ratio of total loans and leases to total assets and TotExp/Assets is the ratio of total expenses to total assets. The target is to use the two ratios for classifying the financial condition of a new bank. Run a logistic regression model (on the entire dataset) that models the status of a bank as a function of the two financial measures provided. Specify the success class as weak (this is similar to creating a dummy that is 1 for financially weak banks and 0 otherwise), and use the default cutoff value of 0.5. 

a. Consider a new bank whose total loans and leases/assets ratio = 0.6 and total expenses/assets ratio = 0.11. From your logistic regression model, estimate the following four quantities for this bank (use R to do all the intermediate calculations; show your final answers to four decimal places): the logit, the odds, the probability of being financially weak, and the classification of the bank (use cutoff = 0.5). 

b. The cutoff value of 0.5 is used in conjunction with the probability of being financially weak. Compute the threshold that should be used if we want to make a classification based on the odds of being financially weak, and the threshold for the corresponding logit. 

c. When a bank that is in poor financial condition is misclassified as financially strong, the misclassification cost is much higher than when a financially strong bank is misclassified as weak. To minimize the expected cost of misclassification, should the cutoff value for classification (which is currently at 0.5) be increased or decreased?

2. Competitive Auctions on eBay.com. The file eBayAuctions.csv contains information on 1972 auctions transacted on eBay.com during May–June 2004. The goal is to use these data to build a model that will distinguish competitive auctions from noncompetitive ones. A competitive auction is defined as an auction with at least two bids placed on the item being auctioned. The data include variables that describe the item (auction category), the seller (his or her eBay rating), and the auction terms that the seller selected (auction duration, opening price, currency, day of week of auction close). In addition, we have the price at which the auction closed. The goal is to predict whether or not an auction of interest will be competitive. Data preprocessing. Create dummy variables for the categorical predictors. These include Category (18 categories), Currency (USD, GBP, Euro), EndDay (Monday–Sunday), and Duration (1, 3, 5, 7, or 10 days). 

a. Create pivot tables for the mean of the binary outcome (Competitive?) as a function of the various categorical variables (use the original variables, not the dummies). Use the information in the tables to reduce the number of dummies that will be used in the model. For example, categories that appear most similar with respect to the distribution of competitive auctions could be combined.

b. Split the data into training (60%) and validation (40%) datasets. Run a logistic model with all predictors with a cutoff of 0.5. c. If we want to predict at the start of an auction whether it will be competitive, we cannot use the information on the closing price. Run a logistic model with all predictors as above, excluding price. How does this model compare to the full model with respect to predictive accuracy? 

d. Interpret the meaning of the coefficient for closing price. Does closing price have a practical significance? Is it statistically significant for predicting competitiveness of auctions? (Use a 10% significance level.) 

e. Use stepwise selection (use function step() in the stats package or function stepAIC() in the MASS package) and an exhaustive search (use function glmulti() in package glmulti) to find the model with the best fit to the training data. Which predictors are used? 

f. Use stepwise selection and an exhaustive search to find the model with the lowest predictive error rate (use the validation data). Which predictors are used?

Week 8 Written Assignment

• Each assignment will be an essay written in APA format (see below). Each essay should be no less than 1500 words on the topic (s) noted below.
• The title page and bibliography do not count towards the word count.
• Complete the assignment in a Word document using APA formatting with your last name as part of the file name. Omit the abstract and outline. A Word APA template and APA sample paper are provided for reference
• After completing the essay, save and upload the document in the Assignments section of the e-classroom.
• Each essay will be checked by Turnitin automatically upon submission.You will have access to the originality reports.

Topic: After conducting independent research using at least three sources not used in the class write an essay that forecasts future impact of the Internet as its role in society continues to evolve. You should point out new issues if you foresee them.

 Assignment: Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course( Telecomm Network Security, Firewalls and VPNs ) have been applied, or could be applied, in a practical manner to your current work environment (software developer). If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study. 

Requirements: Provide a 500 word (or 2 pages double spaced) minimum reflection. Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited. Share a personal connection that identifies specific knowledge and theories from this course. Demonstrate a connection to your current work environment. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace. 

Due in next 4 days.

You are going to write a 2-3 page research paper in APA format, with all supporting references and visuals on the following :

You are to take one of the web browsers from the top 10 (see website below) and provide in depth research on the web browser to include such things as history of the web browser, operating system compatibility, including computer and mobile, security features and weaknesses, location of forensic artifacts, how is data stored, where web browser artifacts are found, chart of statiscal information, articles on attacks/hacking of web browser, and any other forensic data needed for an incident response to understand how an attack on a computer or computer network began and finding the source of compromise. This list is just an example and can include more than this but at a minimum should at least include these items.

Top 10 Internet Browsers – Most Popular Web Browsers of 2019 (Reviewed & Compared) 

https://www.toptenreviews.com/best-internet-browser-software

  Dataset: dataset_Star.csv

Introduction

Much data today is unstructured and comes from a variety of arenas of the organization. Unstructured data cannot be analyzed in the same manner and with the same techniques as structured data. However, they both may be used to make decisions. As you can recall from previous weeks structured data would be something like sales data for a region, by salespeople, by quarters and annual. Unstructured data however cannot be categorized or have a defined linear order.

Initial Post Instructions

Review the concept of unstructured data, outline the areas where this data can come from, evaluate the process on how this data is analyzed and used with structured data to make decisions. While evaluating the process make sure you discuss data mining (including text and web), multi-platform data architecture, data warehouse, data lakes and Hadoop.

After looking at the concept of unstructured data comprise a scenario where an organization may need or can search unstructured data for a specific purpose. For example, in 2001, the company Enron, went into financial ruins. The company was hiding financial losses through blatant accounting fraud by misrepresenting earning reports. This went on for several years before the practice was uncovered by the government. There were many corporate executives believed associated with the scandal and the government wanted to gather evidence on these officials for prosecution. The company had millions upon millions of emails during this period and needed to find emails pertinent to individuals and the case. The company used text mining to look for keywords to discover emails associated with the situation.

Secondary Post Instructions

For a secondary post suggest to your peers methods, based on their scenario, for improving finding the information needed.

Writing Requirements

• Initial post 350 words
• Cite 2 different sources in initial post
• Secondary posts 250 words
• Make sure one of your secondary posts is at least 12 hours after your initial secondary post