Adjunct Instructor, Data Analysis & Visualization

Job Description

Summer 2026 Teaching Opportunity: Data Analysis & Visualization

The School of Sciences and Humanities at Wentworth Institute of Technology is seeking an instructor to teach a data analysis and visualization course during Summer 2026.

Summer Semester: May 5 – August 11, 2026

Meeting Time: Evenings

Preferred Modality: In person

Also Considered: Online synchronous instruction

We would particularly welcome instructors with experience in data analysis, data visualization, survey design, data cleaning, data scraping, and communicating data-driven insights. Experience with relevant industry-standard data analysis and visualization software is desirable.

Interested instructors should be comfortable guiding students through a semester-long applied data project that moves from defining a research question and collecting data through analysis, visualization, and presentation.

Course Description:

Regardless of profession, being able to gather, analyze, and visualize high quality data to gain insight into an issue and successfully articulate your findings to key decision-makers makes you a more valuable asset. This course takes a holistic approach to data-driven decision-making by introducing the theory, practice, and ethics of effective project and audience definition: data collection and survey design; data scraping, blending and cleaning; data analysis and visualization using a variety of software applications. You will leave this course with improved abilities to collect, analyze, and visualize data – and in a way that has integrity and validity and that successfully engages your audience.

Over the semester, each student will conduct a data analysis project from start to finish, including: Articulating the project audience and goals; developing and implementing a data collection and/or scraping process; combining, pivoting, cleaning, and analyzing the data; and producing visualizations that efficiently convey insights gleaned from the data while enabling the end-user to also interact with the data and make their own discoveries. Consequently, the principal outcome of this course for the diligent student will be the ability in the future to conduct similarly rigorous and successful data analysis projects on their own from start to finish, and to explain why a rigorous approach to every step in the data collection, analysis, and presentation (DCAP) process matters. More specifically…

Student Learning Outcomes:

At the completion of this course, the diligent student will be able to…

• Create data collection instruments and processes that facilitate analysis and minimize both sampling and non-sampling error;
• Art...

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis.