Analyzing and Visualization data

 There are various languages, some are better for data visualization than others.  Please review the basics of Python, SAS, R, and SQL.  What are the qualities of each language regarding data visualization (select at least two to compare and contrast)?  What are the pros and cons of each regarding data visualization (select at least two … Read more

31/p1

What are the key elements of disaster recovery planning? What are steps that an organization should take to mitigate the risk of data loss? Is the Penson Financial Services Inc. disaster recovery plan adequate? If not, suggest some ideas to improve the plan.

Cloud computing

  In this project, you will make narrated presentation to convince the BallotOnline management of the value of migrating the organization’s existing IT infrastructure and services to a public cloud. You will learn about cloud computing technology and services and how organizations can take advantage of this trend. Your supervisor, Sophia, BallotOnline’s director of information … Read more

working with data

 This week our topic shifts to working with data.  In this week’s discussion post, please note a system that you work with frequently that has a major data component.  Note the type of data, how the data is managed and maintained, and any other important factors regarding the data in the system. please make sure … Read more

Data Encryption

Evaluate the history of the Data Encryption Standard (DES) and then how it has transformed cryptography with the advancement of triple DES. Please make sure to write 250 words in APA format with in-text citation. also you must use at least one scholarly resource. See attached document for reference. 

R basics

  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 … Read more

week 6_ assignment

  Purpose  This assignment illustrates how data analytics can be used to create strategies for sustainable organizational success while integrating the organization’s mission with societal values. You’ll apply statistical time series modeling techniques to identify patterns and develop time-dependent demand models. You’ll practice organizing and delivering a presentation to senior decision-makers. The PowerPoint presentation includes an … Read more

week 6 _ discussion

  Due Day 3 Time series are particularly useful to track variables such as revenues, costs, and profits over time. Time series models help evaluate performance and make predictions. Consider the following and respond in a minimum of 175 words: Time series decomposition seeks to separate the time series (Y) into 4 components: trend (T), … Read more

Data mining

Q1. Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics. Q2. What are the privacy issues with data mining? Do you think they are substantiated?  Each response should be 300 words. There must be at least one APA formatted … Read more

data

  1.Here are various languages, some are better for data visualization than others.  Please review the basics of Python, SAS, R, and SQL.  What are the qualities of each language regarding data visualization (select at least two to compare and contrast)?  What are the pros and cons of each regarding data visualization (select at least … Read more