Pre-College Summer Programs and Courses
Accelerate your entry into college life in a fast-paced environment while earning academic credit from a top university.
Filter your search by area of study, location, and date range. Qualified pre-college students may also consider the undergraduate courses listed below.
Data Analytics Workshop - AS.110.100
Pre-College students July 8 - July 19 OnlineIn this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
This self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.
Prerequisite: Precalculus. (There is no programming requisite required for this course.)
Required Text: There are no required textbooks for this program; all readings and resources will be made available to you throughout the program.
Data Analytics Workshop - AS.110.100
Pre-College students July 22 - August 2 OnlineIn this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
This self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.
Prerequisite: Precalculus. (There is no programming requisite required for this course.)
Required Text: There are no required textbooks for this program; all readings and resources will be made available to you throughout the program.
Data Analytics Workshop - AS.110.100
Pre-College students June 24 - July 5 OnlineIn this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
This self-paced program is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for your important program deadlines.
Prerequisite: Precalculus. (There is no programming requisite required for this course.)
Required Text: There are no required textbooks for this program; all readings and resources will be made available to you throughout the program.