Dr Nick

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$14/per page/Negotiable

About Dr Nick

Levels Tought:
Elementary,Middle School,High School,College,University,PHD

Expertise:
Art & Design,Computer Science See all
Art & Design,Computer Science,Engineering,Information Systems,Programming Hide all
Teaching Since: May 2017
Last Sign in: 340 Weeks Ago
Questions Answered: 19234
Tutorials Posted: 19224

Education

  • MBA (IT), PHD
    Kaplan University
    Apr-2009 - Mar-2014

Experience

  • Professor
    University of Santo Tomas
    Aug-2006 - Present

Category > Business & Finance Posted 20 Jun 2017 My Price 13.00

The paper must (a) apply and reference new learning to each of the ten course elements'

week 5

assignment

Final Paper

The Final Paper provides you with an opportunity to integrate and reflect on what you have learned during the class.

During the course, you have applied a variety of methods to analyze data sets and uncover important information used in decision making. Having a good understanding of these topics is important to be able to apply them in real-life applications. Below are some of the key elements that were discussed throughout this course. Analyze each of the elements below. In your analyzation, consider and discuss the application of each of these course elements in analyzing and making decisions about data. Incorporate real-life applications and scenarios. The course elements include:

  • Probability
  • Distribution
  • Uncertainty
  • Sampling
  • Statistical Inference
  • Regression Analysis
  • Time Series
  • Forecasting Methods
  • Optimization
  • Decision Tree Modeling

The paper must (a) apply and reference new learning to each of the ten course elements, (b) build upon class activities or incidents that facilitated learning and understanding, and (c) present specific current and/or future applications and relevance to the workplace for each of the ten course elements. The emphasis of the paper should be on modeling applications, outcomes, and new learning.

Answers

Dr Nick
(4)
Status NEW Posted 20 Jun 2017 08:06 AM My Price 13.00

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