Coding + Visual Analytics

Leonard N. Stern School of Business

What are the topics?

Leonard N. Stern School of Business

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Read more about Business Analytics

Business Analytics courses will introduce you to a popular and diverse profession. A business analyst is a specialist in many IT fields as well as in ...

Who should attend

Although there are no formal education or background requirements, this course is designed for participants who meet the criteria below. While we strongly encourage global participation, please note that all courses are taught in English. Proficiency in written and spoken English is required.

  • Years of Experience – Participants with all levels of work experience are welcome to attend
  • Job Functions – Ideal for any job function
  • Prerequisites – Intended for individuals with basic knowledge of Microsoft Excel and no prior experience in R or programming

About the course

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 eight 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.

Program Takeaways

  • Statistical Programming – Go beyond working with data in Excel. Learn a powerful statistical programming package to format, manipulate, analyze, and visualize data.
  • Data Presentation – Present your data so it is compelling and easy to understand.
  • Data Analysis and Reporting – Explore, analyze, and share your data findings. Learn to build dynamic reports and interactive apps.

Agenda

WEEKS 1-2

Coding in R for Data

Week 1: Coding Basics * Introduction to R Programming * Data Structures, Variables, and Data Types

Week 2: Data Exploration * Packages, Scripts, and Rmarkdown * Descriptive Statistics in R

WEEKS 3-4

Coding in R for Data

Week 3: Data Presentation * Reporting and Visualization in Rmarkdown * Data Cleaning and Formatting for Messy Data

Week 4: Data Application * Functions, Iteration, and Conditionals * Interactive Applications Using Rshiny

WEEKS 5-6

Visualizing Data

Week 5: Essentials of Visualizing Data * Introduction to Data Graphics and Design * Design + Audience

Week 6: Visualizing Comparisons * Categorical Data, Graphics and Design * The Report

WEEKS 7-8

Visualizing Data

Week 7: Visualizing Locations * Geospatial Data, Graphics and Design * The Dashboard

Week 8: Visualizing Time * Temporal Data, Graphics and Design * The Presentation

Experts

Kristen Sosulski

Kristen Sosulski is a Clinical Associate Professor of Information, Operations and Management Sciences at New York University Stern School of Business. She is also the Director of Education for the W.R. Berkley Innovation Lab. She teaches Data Visualization, Operations in Panama, Ops in NYC, the c...

Videos and materials

Coding + Visual Analytics at Leonard N. Stern School of Business

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

What will you learn from Business Analytics courses? First of all, you will learn about the profession of a business analyst, his duties, and what such a specialist does. You will get various soft skills, such as organizing teamwork, for example, acc...

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

We are happy to help you find a suitable online alternative.