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Data Analysis: Visualization and Dashboard Design
Conditional Remix & Share Permitted
CC BY-NC-SA
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Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?

If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.

If you have already sharpened your spreadsheet skills in Data Analysis: Take It to the MAX(), this course will help you dig deeper. You will learn advanced techniques for robust data analysis in a business environment. This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. We encourage you to use your own data in this course but if not available, the course team can provide.

These course materials are part of an online course of TU Delft. Do you want to experience an active exchange of information between academic staff and students? Then join the community of online learners and enroll in this MOOC. This course is part of the Data Analysis XSeries.

Subject:
Applied Science
Business and Communication
Engineering
Material Type:
Full Course
Provider:
Delft University of Technology
Provider Set:
TU Delft OpenCourseWare
Author:
Dr. Felienne Hermans
Date Added:
08/01/2018
Practical Information Technology Management
Conditional Remix & Share Permitted
CC BY-NC-SA
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The course purpose is to provide the substance and skill necessary to make sound business decisions relating to information systems and to work with senior line managers in the resolution of issues and problems in this area. Categories of issues which will be addressed in the course include:

How do IT and its various manifestations in business, such as the Internet, affect current and future COMPETITIVENESS? How do we align business strategy and plans with IT strategy and IT plans?
How can we ENGAGE executives in learning and leading IT-related change?
How do we IMPLEMENT new systems, CHANGE work behavior, MANAGE projects?
How should we ORGANIZE and GOVERN IT in an organization?

Subject:
Business and Communication
Management
Material Type:
Full Course
Provider Set:
MIT OpenCourseWare
Author:
Gibson, Cyrus
Grosof, Benjamin
Date Added:
02/01/2005
Spiking neural networks recognize brain preferences to marketing stimuli before conscious perception
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CC BY
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This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Understanding how human decision-making and preferences manifest before conscious thought has long challenged researchers focused on cognitive and information science. Now, the field of neuromarketing – a discipline that looks at the neurocognitive underpinnings of consumer behavior – is starting to uncover, in amazing detail, exactly how the brain goes about recognizing a brand. An international research team based in Auckland University of Technology and Nottingham Trent University has devised a new machine learning method that tracks brain responses to logos on the millisecond timescale…even before conscious thoughts are formed. Their results shed light on the early spikes in brain activity that are tied to brand awareness. The method utilizes one of the most promising recent trends in artificial intelligence research: spiking neural networks. These networks use algorithms loosely modeled on the behavior of the human brain to recognize patterns in sets of streaming data..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

Subject:
Anatomy/Physiology
Applied Science
Health, Medicine and Nursing
Life Science
Material Type:
Diagram/Illustration
Reading
Provider:
Research Square
Provider Set:
Video Bytes
Date Added:
09/20/2019