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Digital Projects Lab

Data, GIS, and Digital Projects at Kennedy Library

LinkedIn Learning

LinkedIn Learning logo

The Cal Poly staff, faculty, and student employees have access to LinkedIn Learning (formerly Lynda), offering modules for professional skill development. A range of offerings from introductory to more advanced topics in data, analytics and visualization include:

Cal Poly Learning Hub

Cal Poly Learning Hub with Bishop peak landscape photo

The Cal Poly Learning Hub offers thousands of online modules for professional skill development. These modules are free to access for Cal Poly staff, faculty, and student employees. Here is a selection of courses related to data and visualization:

Data Skills and Training

School of Data

Wide range of courses to empower individuals with the skills to use data effectively.

Data Camp

Free web courses for learning R and other data analysis topics.


Learn to code with online modules in PythonJavaScript, web fundamentals with HTML.

Learning R

Learn the open-source statistical computing language R for data analysis and visualization.

Working with Excel

Easy Excel Tutorials, 'the #1 Excel tutorial on the net'

Video tips for working in Excel 2013 and other free tutorials for effective data visualization

Online Courses for Data Skills

Data + Design

A simple introduction to preparing and visualizing information. This free e-book viewable online, or downloadable as a PDF, provides a well-rounded overview of the process and considerations for data visualization.  


Browse a variety of courses including: a collection of courses forming a Data Science SpecializationIntroduction to Data ScienceIntroduction to DatabasesGeospatial technology and many Statistical and Data Analysis topics.

Information Visualization

Online course from the University of Indiana provides an overview and introduction to information visualization. It teaches the process of producing effective visualizations taking the needs of users into account. 

Harvard Data Science Course CS109

This Computer Science course from Harvard introduces five core areas of Data Science including; data wrangling, cleaning & sampling, data management to be able to access big data quickly and reliably; exploratory data analysis, prediction based on statistical methods, and communication of results through visualization, stories, and interpretable summaries. See the available Lecture Slides and VideoReadings, and other Resources.


Courses including UC Berkeley's Introduction to Statistics series:, topics in computer science and programming and many more. 

MIT Open Courseware

MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.

More Courses

 Extensive listing of Data, Analytics, and Visualization course materials (powerpoints, readings, etc) available from several universities. 

Online Graduate Certificate in Data Science

Indiana University Online Data Science Certificate

The Indiana University School of Informatics and Computing has announced a new online program in data science. The program, which will launch in January, is designed to lead to a Certificate in Data Science that is anticipated to be available by spring, pending approvals by the Indiana University Board of Trustees and Indiana Commission for Higher Education.

Primer on Data Management: What You Always Wanted to Know