Research Guides: Resources for Data Scholarship in Business &amp; Economics: Training & Tutorials

LinkedIn Learning Video Courses

LinkedIn Learning This link opens in a new window
LinkedIn Learning is an online video training library with over one hundred thousand expert-led videos and thousands of courses. NYU community members can use LinkedIn Learning in connection with their LinkedIn account to learn the latest tools, software, and techniques in business, digital media, design, photography, animation, development, and more. Access to LinkedIn Learning is available in the Academics and Worktabs of NYUHome as well as through this link.
Formerly Lynda.com, LinkedIn Learning provides the same services and access to resources via the LinkedIn platform.

This resource requires an NYU NetID and password

SAGE Research Methods Online This link opens in a new window
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SAGE Research Methods Online aggregates materials from SAGE's journal and reference content, including dictionaries, datasets, case studies, and books. Researchers can explore methods with the Methods Map tool and gather context (including sample data sets) to help design research projects, understand particular methods or identify a new method, conduct research, and write up findings.
O'Reilly Online Learning This link opens in a new window
O'Reilly's Safari Books Online provides access to ebooks related to technology, coding, developing, web design, and data visualization.
If database is asking for "Sign In" information for content access, please refresh browser cache and cookies, and try the link again.
Skillsoft Books (formerly Books24x7) This link opens in a new window
Skillsoft Books (formerly Books24x7) is an online collection of computer technology-related ebooks. It contains hundreds of books and videos from respected IT publishers such as MIT Press, Microsoft Press, Osborne/McGraw-Hill, Que, Sams, Sybex and Wiley. Use it to search for a wide variety of books and videos, ranging from beginners level to advanced (Microsoft Word for beginners or an advanced programming language).

NYU Data Services supports quantitative, qualitative, geographic (GIS), and statistical research through software, workshops, and consultations. They are co-located with our business research team on Bobst Library's 5th floor. Service areas include: Citing data, Data management, Data visualization, Geographic information systems (GIS), Quantitative analysis, Qualitative analysis, Survey design, and Text data mining.