Course Overview

New for 2021! Data science touches everything, reshaping not just businesses but our everyday social interactions. There is no better time than now to learn about this exciting field. This is a beginner’s class on exploring the basics of data science. You will be introduced to data scientists’ toolset, from programming languages and specialized libraries to productivity tools like Jupyter Notebooks. This summer STEM course for high school students focuses on practical techniques such as inferential and exploratory data analysis, data cleaning, data visualization, sampling, testing, and classification. At the end of this pre-college course, you will have the needed knowledge and confidence to perform basic data analysis and reporting, and unlock further opportunities to accelerate your exploration in this exciting field.

Course Objectives

  • Develop strategies for cleaning data
  • Hone inferential and exploratory data analytical skills in Python and R
  • Develop basic strategies in data visualization
  • Practice classification for machine learning
  • Acquire new programming knowledge independently.

Course Information

Course Prefix and Number: SCN 088

Eligibility: Students must be of rising high school sophomore, junior, or senior status – or a 2021 high school graduate. 

Credit: Noncredit

Grading: Pass/Fail

Cost: $2,500
Program rates are subject to change and will be approved by the board of trustees.  Discounts and scholarships are also available.


Program Information

Summer College Online: Explore college life before stepping foot on campus! High school students can enroll in a college-level course, pursue their academic interests, and meet like-minded students in daily virtual events and activities.


“To say it was a great experience would be an understatement.”

— Hanaah J., Summer College Online Student, 2020.

Course Dates and Details

ProgramCourse DatesSynchronous Class Time (Eastern Time)Credit/NoncreditStatus
Summer College Online3-Week Session I: July 19 – August 6, 2021MTWThF
1-2:30PM
NoncreditClosed

Course Requirements

Technology Requirements

  • Laptop or desktop computer with a webcam
  • Reliable internet access
  • A space conducive to taking an online class (without distractions)

Required Supplies

Students should budget for required textbooks and supplies. A supply and textbook list will be sent to students before the start of the program.

Typical Day

Tentative Schedule

Plan on reserving mornings for asynchronous coursework, which will include readings, videos and sometimes assignments and projects. All course materials will be available on Blackboard at the beginning of class so you can jump ahead as needed.

Students will be required to attend an afternoon live session class via videoconferencing for the three weeks, Monday – Friday from 1:00pm to 2:30pm EDT.

Each day will begin with a review of previous topics followed by discussion about new topics based on content given to complete before class. In a typical day you will be given the opportunity to practice new techniques before applying to assignments. This will be done as follows:

Coding Labs. You will be learning basic concepts through this guided tutorial.

Homework Assignment: Based on concepts discussed in the lab you will be given the opportunity to practice what you have learned by applying through a series of practical challenges

Daily Wrap-Up: You will summarize what you learned in your own words. These questions will be integrated into assignments.

When class is over, and on weekends, students can look forward to various Summer College virtual activities to meet and connect with other students across the world. Check out our Virtual Campus Experience page for more information!

Virtual End Event

On the final day of class, students will have their final project presentations which will be conducted in the virtual classroom. Parents are invited to attend.

Faculty Bios

Angela Usha Ramnarine-Rieks, Ph.D.

Angela Usha Ramnarine-Rieks teaches data and content management, programming and other information science courses at the School of Information Studies at Syracuse University. As a researcher, she has a keen interest in understanding the implications in the adoption and adaptation of new technologies within organizations. Ramnarine-Rieks is currently part of a research team exploring the socio-technical impacts of the smart grid phenomenon in the energy industry. Exposure to this domain began with postdoctoral work with the smart grid research team at Syracuse University. Her other research track explores integrating computational thinking into literacy. Yes, that means she supports the premise that all should learn to code.


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