Northeastern University Data Analysis Technique Assignment

User Generated

nyyralhna1222

Mathematics

Description

(1) Email-essay scenario: The data science team you work on (at Salesforce, Netflix, or of your own imagining) is interested in using a data analysis technique new to the team/company. You were tasked with gaining a general overview of the technique and writing a medium length email (~3 paragraphs) to summarize your findings. Include:

  • a description of the technique for a technical audience, you want to give them an introduction to the method that will be a jumping off point for them learning more detail and discussing the method
  • explain the value of the method
  • the types of data it can be used for
  • the method's limitations

Choosing a technique: Choose a data analysis technique you are interested in learning more about, based on your analytics skill level. For example, if you've never done a regression, pick a regression or correlation or something simpler. If you have more analytics experience, use this as an opportunity to learn more about a method you're interested in or dig deeper into a method from another class. You are welcome to describe how this analysis method could be used for the data / business question from your case study.

Some ideas: regression, cross-validation, filtering (signal processing), deep learning, principal components analysis (PCA), random forests, randomization techniques

Requirements:

  • Use in line citations where appropriate
  • Include a reference list/bibliography
  • Minimum 300 words


(4) Short Answer

Prompt:

Answer the following questions based on this week's reading:

  1. What is the purpose of statistical diagnostics? (refer to Bartlett Chapter 8)
  2. What considerations need to be made when choosing training data for machine learning algorithms? (refer to machine learning reading)
  3. What is the purpose of cross-validation? (refer to cross validation videos)

Requirements

  • Use in line citations where appropriate
  • Include a reference list/bibliography
  • Minimum 300 words (total)

Required reading: https://www.technologyreview.com/s/608248/biased-algorithms-are-everywhere-and-no-one-seems-to-care/

https://www.mckinsey.com/business-functions/risk/our-insights/controlling-machine-learning-algorithms-and-their-biases

https://www.nature.com/articles/d41586-018-05707-8

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Explanation & Answer

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Running Head: DATA ANALYSIS

Data Analysis

Student’s Name:

Course Title:

Date:

DATA ANALYSIS

1

1. Email Essay:
Data Analysis technique
One of the best data analytic technique to employ is the regression method. This is a very
powerful statistical method which provides the user with a room to make comparisons of
different variables. This method can be able to measure several types of data which include the
impact of an independent variable on a dependent one. From such an analysis, the user is in a
position to have detailed insight. From this, informed choices can be made to help in the
improvement of the quality of goods and services.
By using this method, you will be in a position to identify the variables which have a
significant impact on your projects or any topic of interest. With knowledge on the factors that
matter most, what is next apart from implementing them to enhance success? This is what every
person would like to ...


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