Statistical Computing & Data Visualization [01/2018]2018-09-17T08:09:59+00:00

Project Description

This Call for challenges has expired




Statistical Computing & Data Visualization

USC Marshall




Statistical Computing & Data Visualization

USC Marshall

Summary

Statistical computing and data visualization are increasingly important and necessary aspects of a data analyst job. Whether they are dealing with small, big, structured or unstructured data, data analysts are expected to be able to access data from various sources, apply the latest statistical methodologies, and communicate their findings to others in novel visualizations.

Description

The USC Marshall School of Business is the business school of the University of Southern California. The university occupies a prominent position at the forefront of innovation in business education, leading with a curriculum that recognizes the interdependence between academic instruction and hands-on experience. At Marshall, students live their learning, incorporating lessons from the classroom and the real-world to acquire usable knowledge that will serve them throughout distinguished professional careers.

Objectives

In this course, the students will gain explicit experience with programming language concepts such as variables, assignments, flow control, functions, parameters, data structures, input and output, error handling, debugging, and so on. In addition, students will learn how to write a computer program in R to create a graph from scratch and manipulate its different attributes (axis, title, orientation, color, etc.), identify appropriate data visualization techniques given particular requirements imposed by the data, analyze and criticize examples of visualizations from newspapers, scientific papers, business reports, and journals. This is a hand-on course and it is computationally intensive. We will primarily be using R (http://cran.r-project.org), a GNU-license statistical package. We will also be using GGobie, Mondrian for high dimensional data and interactive graphics. All tools are available on the Web for free download.

Solutions

Dashboards with KPI’s and visualizations

Methods

This class is taught through a combination of lectures, computer labs, hands on computing tasks in homework, and group project and presentations. The projects are key because they integrate multiple computational topics in the content of a modern data problem. Students gain hand on experience with statistical concepts flowing from contextual problem solving with data, and they make their own discoveries by posing and answering questions rather than solely fitting models or using “this week’s lecture’s methodology” as a computing exercise.

Skills

CollaborationCritical thinking / problem-solvingCuriosity

Insights

 

DEGREE
Master
WORK EXPERIENCES
0 years
STUDENT AGE
25-34 years old
COUNTRY OF ORIGIN
UNITED STATES

Details

Challenge submission deadline:
15 December 2017

Solving the challenges start/end:
15 January 2018 – 02 May 2018

Course duration:
107 days

No. of challenges called:
1 challenge

No. of students:
100 students

Team size:
5 students / team

Solution output language:
English

Summary

 Statistical computing and data visualization are increasingly important and necessary aspects of a data analyst job. Whether they are dealing with small, big, structured or unstructured data, data analysts are expected to be able to access data from various sources, apply the latest statistical methodologies, and communicate their findings to others in novel visualizations.

Description

 The USC Marshall School of Business is the business school of the University of Southern California. The university occupies a prominent position at the forefront of innovation in business education, leading with a curriculum that recognizes the interdependence between academic instruction and hands-on experience. At Marshall, students live their learning, incorporating lessons from the classroom and the real-world to acquire usable knowledge that will serve them throughout distinguished professional careers.

Objectives

 In this course, the students will gain explicit experience with programming language concepts such as variables, assignments, flow control, functions, parameters, data structures, input and output, error handling, debugging, and so on. In addition, students will learn how to write a computer program in R to create a graph from scratch and manipulate its different attributes (axis, title, orientation, color, etc.), identify appropriate data visualization techniques given particular requirements imposed by the data, analyze and criticize examples of visualizations from newspapers, scientific papers, business reports, and journals. This is a hand-on course and it is computationally intensive. We will primarily be using R (http://cran.r-project.org), a GNU-license statistical package. We will also be using GGobie, Mondrian for high dimensional data and interactive graphics. All tools are available on the Web for free download.

Solutions

 Dashboards with KPI’s and visualizations

Methods

This class is taught through a combination of lectures, computer labs, hands on computing tasks in homework, and group project and presentations. The projects are key because they integrate multiple computational topics in the content of a modern data problem. Students gain hand on experience with statistical concepts flowing from contextual problem solving with data, and they make their own discoveries by posing and answering questions rather than solely fitting models or using “this week’s lecture’s methodology” as a computing exercise.

Skills

CollaborationCritical thinking / problem-solvingCuriosity

Insights

 

Details

Challenge submission deadline:
15 December 2017

Solving the challenges start/end:
15 January 2018 – 02 May 2018

Course duration:
107

No. of challenges called:
1 challenge challenge

No. of students:
100

Team size:
5 students / team

Solution output language:
English

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Statistical Computing & Data Visualization

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This student learning experience is…

The USC Marshall School of Business is the business school of the University of Southern California. The university occupies a prominent position at the forefront of innovation in business education, leading with a curriculum that recognizes the interdependence between academic instruction and hands-on experience. At Marshall, students live their learning, incorporating lessons from the classroom and the real-world to acquire usable knowledge that will serve them throughout distinguished professional careers.

2.001-5.000
students

UNITED STATES
Los Angeles, CA

This student learning experience is…

About USC Marshall

The USC Marshall School of Business is the business school of the University of Southern California. The university occupies a prominent position at the forefront of innovation in business education, leading with a curriculum that recognizes the interdependence between academic instruction and hands-on experience. At Marshall, students live their learning, incorporating lessons from the classroom and the real-world to acquire usable knowledge that will serve them throughout distinguished professional careers.

2.001-5.000
students

UNITED STATES
Los Angeles, CA

Challenge Submission

Although your prime goal may be to source “innovative” solutions in form of reports, analysis, prototypes and MVPs, undoubtedly you will get in contact with a very diverse group of student and faculty talents from all over the world.

Instantly, you will become and serve as a partner in promoting solutions by offering invaluable rapid feedback to students that collaborate with you as problem solvers based on your real-world experience and deep expertise.

To be more specific, as a digital challenge sponsor you bring context, real insights and data of a particular area to the table. You clarify, frame, and pitch your challenges prior to exploring solutions with your student teams.

Your collaboration efforts, will help student teams become thought after problem solvers with applied skill sets that will lead to better solutions overall.

As a challenge sponsor you gain access to the platform and respective call for challenges by subscribing to TELANTO´s Academic Business Network.

Suggestions

Interested challenge sponsors should be:

  • Subject matter experts in the field they are applying for, assuring a smooth collaboration with the responsible faculty and student teams.
  • Committed to a collaboration over a period of 12 weeks.
  • Available to spend approx. 10h in total to collaborate with the student teams.

Next Steps

Challenge applicants will be presented to the responsible faculty member for challenge review and pre-selection. If your proposal fits the course syllabus you will be invited to discuss your challenge during a 30 minutes scoping conversation with the professor.

Collaboration Process

Ready to start?

Challenge submission deadline:
15 December 2017

Solving the challenges start/end:
15 January 2018 – 02 May 2018

Solution output:
Report

Frequently Asked Questions

What about confidentiality?

Your information around challenges, collaboration and outputs is kept strictly confidential. While we use your company information and most likely logo and/or trademarks to present you to the academic partners, no third-party, which is not directly involved in the collaboration will never be granted access to sensitive information. As part of the Terms of use, all students agree to the confidentiality clause, when they log in to the network for the first time. Some of our clients choose to address confidentiality in a separate document.

I need to have certainty about any Intellectual and Industrial Rights originating from a collaboration!

The standard Terms & Conditions as well as the Terms of Use foresee, that students cede their IP-rights in favour of the company, when the company contributes to the resolution of the challenges, in terms of providing non-publicly available information, research, analysis, etc. and contribute otherwise with internal resources. A full reading of the Terms & Conditions is made available here: https://telanto.com/telanto-terms-conditions/.

How does the engagement model and collaboration work?

Our role-based platform structures and standardises the process in a simple and intuitive manner with a number of key interaction points, such as the kick-off, mid-term touch points and final presentation. The figure below illustrates the process with the three key roles, being the Challenge Sponsor (CS), Professor and the Student.

Is there any academic supervision of the students working on my challenges?

All collaborations promoted on the Academic Business Network are part of curricular or academically supervised extracurricular activities. For the greater part of the collaborations the challenges are worked on as part of the academic program of a specific course in a bachelor, master or MBA degree, so students performance is in direct correlation to the achievement of course credits and grades.

What is the typical collaboration period with teams of students?

Average collaboration periods take 75 days from kick-off to final presentation. New intense formats with shorter periods are currently experimented with to understand the quality and validity of potential solution outputs.

How much of my time is required to make a collaboration successful?

Half an hour every five to ten days are the standard reports we get from our customers in the higher satisfaction percentiles. Most of the time is required in the preparation, alignment and initial collaboration phase of the challenges.

Do I need to be at the university at some point in time during the engagement?

Half an hour every five to ten days are the standard reports we get from our customers in the higher satisfaction percentiles. Most of the time is required in the preparation, alignment and initial collaboration phase of the challenges.

What is the unique value proposition of TELANTO compared to its competitors?

TELANTO is the sole service provider of a truly global network of universities and companies for university-industry collaboration. With its proprietary technology TELANTO provides novel processes for academia to manage industry relations and collaborations with ease and equally does so for companies with a need for more innovation and problem solving power in search for new ways to detect smart talents.

My company has already University Alliances, do I need TELANTO?

Traditional university alliances are focussed on research and/or short term hiring activities. While those have their certain rationale, TELANTO creates an unprecedented transparency for collaboration possibilities in a broad range of areas, degrees and geographies at any given time. Professionals, managers and leaders within organisations get the possibility to tap into teams of students around the world to start tackle their challenges within much shorter timeframes and practically without bureaucratic effort, than with traditional models.

What type of outcomes can I expect from students?

Most frequent outcomes of collaborations are:

  • Concepts, Analysis and qualitative research
  • Experimental results and scenario projections
  • Prototypes, clickable mockups, MVPs

All in the context of a given challenge, field of study and respective degree as well as experience of the students.

As part of every Call for Challenges from professors, you will be able to consult past and/or expected outcomes for the challenge sponsor to understand the fit of the collaboration opportunity to your challenges at hand.

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