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Advanced Business Analytics Capstone

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The analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone project will take you from data to analysis and models, and ultimately to presentation of insights. In this capstone project, you will analyze the data on financial loans to help with the investment decisions of an investment company. You will go through all typical steps of a data analytics project, including data understanding and cleanup, data analysis, and presentation of analytical results. For the first week, the goal is to understand the data and prepare the data for analysis. As we discussed in this specialization, data preprocessing and cleanup is often the first step in data analytics projects. Needless to say, this step is crucial for the success of this project. In the second week, you will perform some predictive analytics tasks, including classifying loans and predicting losses from defaulted loans. You will try a variety of tools and techniques this week, as the predictive accuracy of different tools can vary quite a bit. It is rarely the case that the default model produced by ASP is the best model possible. Therefore, it is important for you to tune the different models in order to improve the performance. Beginning in the third week, we turn our attention to prescriptive analytics, where you will provide some concrete suggestions on how to allocate investment funds using analytics tools, including clustering and simulation based optimization. You will see that allocating funds wisely is crucial for the financial return of the investment portfolio. In the last week, you are expected to present your analytics results to your clients. Since you will obtain many results in your project, it is important for you to judiciously choose what to include in your presentation. You are also expected to follow the principles we covered in the courses in preparing your presentation.

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University of Colorado Boulder

Rating 1.0 based on 1 ratings
Length 5 weeks
Starts Apr 29 (in 6 weeks)
Cost $79
From University of Colorado Boulder via Coursera
Instructors Manuel Laguna, Dan Zhang, David Torgerson
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Essentials

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same plot based in one review

Then the next question grades THIS SAME PLOT based on relationship between two variables (scatterplot), NOT distribution.

anyone actually pays in one review

I can't believe anyone actually pays to use it.

better off using in one review

We'd be much better off using a programming language like R or Python to do these assignments.Also, the assignments that depend on running a model in ASP should specify what random seed to use in partitioning the data, what exact classification tree type to use, so that we would all get same answers, and it would be easier to grade other people's work.

classification tree type in one review

crash every 30 in one review

Like, the assignment that should have taken me an hour to do turned into 6 because the platform would crash every 30 seconds.

grade other people in one review

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Senior Capstone Researcher $99k

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Coursera

&

University of Colorado Boulder

Rating 1.0 based on 1 ratings
Length 5 weeks
Starts Apr 29 (in 6 weeks)
Cost $79
From University of Colorado Boulder via Coursera
Instructors Manuel Laguna, Dan Zhang, David Torgerson
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Essentials

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