Weekly Summary 3.1 University of the Potomac Data Analytics CBSC 520 Weekly Summary 3.1 In this week, I learned the topics about Probability Essentials like Addition rule, Conditional Probability and Multiplication rule, Equally Likely Events, Probability Distribution of a single variable, Summary Measures of a Probability Distribution, Conditional Mean and Variance and Introduction to Simulation. The addition […]
Weekly Summary 2.1 CBSC520.18 Weekly Summary 2.1 This week is the second week of class. This week, in chapter three, we learned about finding relationships among variables. We see that relationship between variables is the primary thing of interest that we need for data analysis. Examining relationships between categorical variables, the count of categories is
Lab 1 University of the Potomac CBSC520 Data Analytics INTRODUCTION This Lab is mainly based on the differentiation of Categorical variable and nominal variable. Then finding the count of both the variable from the data provided in chapter 02 and then importing the spreadsheets to prove the calculation, then recorded all the variable as per
Mid Term University of The Potomac Data Analytics (CBSC 520) Introduction A company’s market share is estimated as a level of an industry’s total incomes. We can decide an organization’s market share by dividing its total sales or revenues by the industry’s total sales over a fiscal period. Use this measure to get a general
Title of Paper: Management Information systems University of the Potomac Course Name and Number: Enterprise data management and adminstration/ CBSC520-18 Abstract In this chapter we would discuss how information systems are transforming business and their importance for running and managing business today and how internet has drastically reduced costs of operating on global scale and
Discuss how the ROC curve may be used to determine the suitable threshold cost for a classifier. ROC stands for Receiver Operating Characteristics and it’s far a graphical plot which illustrates the overall performance of binary classifiers, which means feasible output classes in addition to it may be used to evaluate version or classifiers. A
Data Analysis Case Study 2.1 University of the Potomac CBSC 520 Data Analysis Provide a brief definition of net profit margin and explain why it is an important statistic. Net Profit Margin is a financial ratio used to calculate the percentage profit of a company produces from its total revenue. It measures the amount of
Data Analysis Case Study 2.1 University of the Potomac Data Analysis Provide a brief definition of net profit margin and explain why it is an important statistic. Net Profit Margin is a financial ratio used to calculate the percentage profit of a company produces from its total revenue. It measures the amount of net profit
Discussion-4.1 University of the Potomac CBSC520 Data Analytics I would select Chapter-3 which is finding relation among Variables Sub Topic –Â Pivot Tables and charts As we all know that pivot tables and charts are the powerful excel tool for statisticians to breakdown the data into categories and it will be helpful to list counts, sums,
Assignment #3.1 CBSC 520 – Data Analytics University of Potomac Submitted by Introduction Consumer loyalty speaks to an advanced approach for quality in undertakings and associations and serves the advancement of a really client centered administration what’s more, culture. Consumer loyalty measures offer a significant and goal criticism about customer’s inclinations and desires. Consumer loyalty