Coding and Visual Analytics provides students with the foundational skills needed to become a data literate manager. Learn the basics of programming for data preparation, understanding, and communication. Build core skills in the R programming language for data importing, formatting, and analysis. Use Tableau, a leading business intelligence platform, to create robust visualizations and dashboards that communicate your findings.

For the first four weeks of this program, students will learn how to program in R for effective data manipulation and visualization. They will also develop the ability to create control structures, such as loops and conditional statements, to traverse, sort, merge, and evaluate data. The following four weeks of the program will focus on techniques for data preparation — how to choose, create, and edit graphics, as well as best practices for presenting your visualizations.

• Coding in R for Data
• Visualizing Data

In-House Quality
In 2001, Stern became the first business school to establish its own center for exploring new models in teaching and learning. The NYU Stern Learning Science Lab is a team of creatives, educators, designers, and technologists who work closely with faculty to create engaging and interactive courses. Leveraging the resources of Stern and NYU at large, the team applies their expertise in user experience design, learning science, and video production to build immersive digital learning environments for business school education.

Online Learning Terminology
The term "asynchronous" refers to courses or course elements that can be completed at any time within the parameters of the course schedule. Asynchronous activities are things you do independently, like watch videos and complete assignments, and interactions with others over time via email, discussion forums, collaborative documents, and other channels. The term "synchronous" refers to learning with others in real time using videoconferencing and other technologies. Our online certificate courses are asynchronous with optional synchronous elements.

This is a non-credit, pass/fail program. To pass each course, you will need a cumulative score of at least 55%. Upon successful completion of both courses, participants will receive the NYU Stern Certificate in Coding + Visual Analytics.