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DAT 565 All Assignments

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DAT 565 Week 1 Assignment Data, Information, and Industry Trends (1600 Words) DAT 565 Week 2 Descriptive Analytics vs Business Analytics DAT 565 Week 3 Predictive Analytics and Relationship to Data Mining DAT 565 Week 4 Trending Analysis DAT 565 Week 4 Methodologies of Data Mining DAT 565 Week 5 Excel Data Analysis and Interactive Exercise DAT 565 Week 6 Team Assignment The Power of Infographics ===============================================

DAT 565 Week 1 Assignment Data, Information, and Industry Trends (1600 Words)

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DAT 565 Week 1 Assignment Data, Information, and Industry Trends What is Big Data? Analyse Big Data and its relation to Volume, Velocity and Variety. Assess the importance of Big Data within government organizations. Evaluate two examples of information that the government is collecting.

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DAT 565 Week 2 Descriptive Analytics vs Business Analytics

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DAT 565 Week 2 Descriptive Analytics vs Business Analytics Create a 10- to 12-slide MicrosoftÂŽ PowerPointÂŽ presentation and include the following: Evaluate the link between historical data and descriptive analytics, and point out the correlation of each to Business Intelligence. Critique how Business Intelligence implementations provide value to organizations. Assess the gaining popularity of Business Analytics among decision makers. Evaluate important considerations of data mining and predictive analytics when applied to a business area for the first time. Consider any legal, ethical and/or cultural issues that could apply. Cite a minimum of 1 peer reviewed reference from the University Library and 1 reference from Chapter 1 of the textbook assigned for this course.

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DAT 565 Week 3 Predictive Analytics and Relationship to Data Mining

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DAT 565 Week 3 Predictive Analytics and Relationship to Data Mining Purpose of Assignment Business Analytics has evolved from providing descriptive outcomes based on historical information to helping predict future activities from potential customers or groups leveraging that same information. In order to accomplish it, new techniques have been implemented for mining the information and thus expanding to modeling and predictive analytics. Analyze data mining in a minimum 1,400-word report and include the following: • Explain the importance of data mining, and examine its implementation in real-world scenarios. • Summarize the misconceptions of data mining. • Critique the confusion of data mining with Online Analytical Processing (OLAP). • Analyze the importance of statistical analysis and machine learning techniques in data mining. Cite a minimum of 1 reference from Chapter 2 of the textbook assigned for this course. Individual Assignment: Predictive Analytics and Relationship to Data Mining

Resources Required


REAL-WORLD DATA MINING: APPLIED BUSINESS ANALYTICS AND DECISION MAKING. DursunDelen, (2015). Chapter 2: Introduction to Data Mining ===============================================

DAT 565 Week 4 Methodologies of Data Mining

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DAT 565 Week 4 Methodologies of Data Mining

Purpose of Assignment To create predictive models that can be leveraged for targeting specific audiences, different techniques of data mining can be approached. Industry standard processes have been well documented and are currently in use by several organizations. This assignment will allow students to identify those models and understand their purpose the processes involved in using them.


Compose a minimum 1,400-word analysis in which you include the following about Six Sigma for Data Mining: • Appraise the popularity of Cross-Industry Standard Process for Data Mining (CRISP-DM), and evaluate its methodology. • Construct an example of how Six Sigma for Data Mining helps manufacturing organizations. • Evaluate the relation of the Define, Measure, Analyze, Improve and Control (DMAIC) methodology to Six Sigma for Data Mining. • Investigate how Define, Measure, Analyze, Improve and Control (DMAIC) could be applied to a manufacturing organization. Cite a minimum of 1 peer reviewed reference from the University Library and 1 reference from Chapter 3 of the textbook assigned for this course. Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment.

Grading Individual Assignment: Methodologies of Data Mining

Resources Required REAL-WORLD DATA MINING: APPLIED BUSINESS ANALYTICS AND DECISION MAKING. DursunDelen, (2015). Chapter 3: The Data Mining Process

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DAT 565 Week 4 Trending Analysis

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DAT 565 Week 4 Trending Analysis • Locate and download "Annual U.S. CPI (includes CPI-U and CPI-W)" data from: http://www.seattle.gov/financedepartment/cpi/docum... • Locate and download "Median and Average Sale Price of Houses Sold" data from: https://www.census.gov/construction/nrs/xls/uspric... Create an Excel® document in which you include the following: • Paste from "Median and Average Sale Price of Houses Sold", Price Ann sheet, the Period and Median Price columns (column A and B respectively), starting from year 1963. • On a third column, calculate Index, taking into assumption that for year 1984 it is 100. Format it to 1 decimal place. Name it "House Price Index." • For example, for year 1983, the index will be calculated based on median price of 1983 vs. 1984 (e.g. 94.2). • As a second example, for year 1985, the index will be calculated based on median price of 1985 vs. 1986 (e.g. 105.5). • On a fourth column, paste from "Annual U.S. CPI (includes CPI-U and CPI-W)", the Index column (column B) starting from 1963. Name it "Consumer Price Index." • Create a line chart, plotting "House Price Index" and "Consumer Price Index" for each year, starting from 1963. Year will be the X Axis. Price Index will be the Y Axis. • Save the Excel® document for submission.


Compose a minimum 1,050-word report in which you address the following: • Analyze the correlation between "House Price Index" and "Consumer Price Index." • Evaluate conditions of abrupt median price change and correlate to a historical event (e.g. 2006). • Predict the trend for "House Price Index" for the next few years. • Synthesize your predictions in regards to the current market conditions based on the "House Price Index" vs. "Consumer Price Index." • Analyze the median income increase in the last 10 to 20 years. Correlate with the graph you have created and assess your findings. Format your assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. ===============================================

DAT 565 Week 5 Excel Data Analysis and Interactive Exercise

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DAT 565 Week 5 Excel Data Analysis and Interactive Exercise


Download "Population Historical" data from the government website. • Select the data for each continent and their populations and group together at the top of the spreadsheet. Use only population data from the last 10 years. • Create an Area Chart in Excel with this data having all continents as data series, and the Years as X-Axis. (1 hour for a, b, c). Create narratives based on the Excel Area Chartto discuss the following in a minimum of 1,400 words: • Interpret the historical trend in increase/decrease of population per continent. • Formulate a prediction on how the population would vary in the next decade. How did you arrive at this conclusion? • Investigate how Excel creates a forecast. Explain the steps involved. • Convert your area chart into a line chart in Excel, and add forecasted values. Include a screenshot in your paper. • Compare the forecasted output that Excel has provided with the conclusions you have arrived at in regards to the trend in the increase/decrease of population. • Recommend other Excel data analysis properties or chart types that could be used to demonstrate your data findings. Format assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment.

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DAT 565 Week 6 Team Assignment The Power of Infographics

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DAT 565 Week 6 Team Assignment The Power of Infographics Watch the "Hans Rosling—Religions and Babies" video in the Week 6 Electronics Reserve Readings Videos. Create 10 to 12 Microsoft® PowerPoint® slides and address the following: • Classify the different types of charts that Hans Rosling provides during his presentation. • Summarize from the Hans Rosling video the peak average child per woman, and the population in year 2100. • Explore and identify the options available in Excel to produce similar infographics to Hans Rosling. • Create a sample data of child births per woman (obtain data from .gov website) for years 1960, 1970, 1980, 1990, 2000 and 2010. • Create a time series bar chart from the data uploaded in Excel. Compose a minimum of 260 words in which you address a time series chart: • Interpret how to create a Time Series Chart. Extend your chart to reflect the time series addition, and include chart snapshots in your explanation. Cite a minimum of 1 peer reviewed reference from the University Library. Format assignment consistent with APA guidelines. Click the Assignment Files tab to submit your assignment.


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DAT 565 Read, Lead, Succeed/Newtonhelp.com  

DAT 565 Read, Lead, Succeed/Newtonhelp.com

DAT 565 Read, Lead, Succeed/Newtonhelp.com  

DAT 565 Read, Lead, Succeed/Newtonhelp.com

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