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QAC020N255A Big Data Analytics

Question

Answered

Questions:

Learning outcomes

On successful completion of this module students will be able to

  1. Demonstrate knowledge and understanding of the Big Data technology landscape, terminology and choices available
  2. Identify and communicate the challenges of scalability of databases and data analysis
  3. Collect and synthesise information needed to select the optimum solution for a problem domain involving big data
  4. Analyse and evaluate a range of information comparing alternative methods and techniques used in the analysis of big data including methods to visualise and learn from large volumes of data
  5. Implement and test solutions using big data technologies

Scenario:

In this scenario, you have been hired as a Data Analyst by a reputable marketing firm. Your client is a telecom company that operates in a number of states throughout the US. The telecom company is going to launch a new service. Since existing customers are more likely to require new services from the company, they would like to find out in which state a new service can be advertised and sold.  The client is launching a new service and needs to determine which of its existing customers are more likely to need it.  They would need to find out which states are most affluent in order to increase revenue for the new service.

To solve this problem you can refer to data sets which are in the public domain. 

Given dataset has 3334 entries and 21 attributes, which show the following customer information.   

  1. State
  2. Account Length
  3. Area Code
  4. Phone
  5. international plan
  6. voice mail plan
  7. number vmail messages
  8. total day minutes
  9. total day calls
  10. total day charge

 

  1. total evening minutes
  2. total evening calls
  3. total evening charge
  4. total night minutes
  5. total night calls
  6. total night charge
  7. total international minutes
  8. total international calls
  9. total international charge
  10. customer service calls
  11. Churn

 

 

Task 1:   

1. Review and evaluate the following and explain how these can be utilised by the marketing firm to derive value from the data given in this scenario. Also, provide some examples of how your group would use these in the project. You should state any assumptions clearly.

I. Data warehouse

II. MongoDB vs HBase. (NoSQL Databases)

III. Databricks Vs Apache Spark

IV. Hadoop Ecosystem components

Task 2:       

  1. You must use Tableau to analyze and disclose various associations within the data set provided. Using Tableau, find answers to the following questions based on your analysis. You need to provide a rationale and justification for your solution.   Each question must have a separate worksheet with a chart, graph or a table that shows your findings.

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SOCI332 Statistics for Social Science

Task Introduction to Hypothesis testing using the z statistic   Remember to use σx̅  in you denominator for the z statistic!!  1. A certain chemical pollutant in the Genesee River has been constant for several years with mean µ = 34 ppm (parts per million) and a sta ...

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