HU Data Science Summer Experience

Data Science at HowardU

The HU Data Science Summer Experience is a dynamic, immersive program designed to introduce learners to the world of data through multiple pathways. Whether you're a beginner or ready to deepen your skills, this experience includes our signature Data Science for Social Impact Bootcamp, hands-on research opportunities with Howard faculty, and credit and non-credit course options in data science and related fields. Participants will engage in meaningful research projects—ranging from health equity to climate and education data—while building technical skills in Python, data analysis, and visualization. It’s more than a program—it’s a launchpad for future data leaders committed to using data for social good.

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Data Science for Social Impact Bootcamp

The Data Science for Social Impact Bootcamp is a dynamic, beginner-friendly summer training program hosted by Howard University’s Applied Data Science and Analytics program in the Graduate School. Designed for high school students, college students, and lifelong learners (ages 14+), this free virtual bootcamp introduces the fundamentals of data science through the lens of social justice, equity, and community impact.

Participants will gain practical, hands-on experience using Python and essential data tools to analyze real-world issues such as environmental justice, health disparities, education inequality, and more.

Key Learning Objectives

By the end of the program, participants will be able to:

  • Understand the basics of Python programming
  • Apply data analysis techniques to social impact questions
  • Use foundational data science libraries like Pandas and NumPy
  • Explore data visualization and storytelling for advocacy
  • Engage in a final project using publicly available datasets
  • Recognize ethical considerations in data collection and usage

 

Who Should Apply

This program is ideal for:

  • Students (ages 14+) interested in coding, technology, and data
  • Beginners looking to explore data science in an accessible environment
  • Learners passionate about social good, equity, and justice
  • Participants from underrepresented backgrounds in tech and STEM

No prior coding experience is required—just curiosity, commitment, and a desire to make an impact.

 

Format and Schedule

  • Dates: May 19 – June 20, 2025
  • Format: Live virtual sessions + independent assignments
  • Time Commitment: 5–6 hours per week
  • Enrollment Fee: Free to attend; $25 required upon acceptance to secure your spot

Participants will have access to instructors, peer collaboration, guest speakers, and workshops.

Summer Course Offerings

DATA-401. Introduction to Geographic Information Systems. 3crs. PREREQ: None

Geographic Information Systems (GIS) are tools for managing, describing, analyzing, and presenting information. The course seeks to provide students with a basic level of familiarity with several aspects of Geographic Information Systems and Geographic Information Science.

DATA-304. Engineering and Managing Data-Driven Change. 3crs. PREREQ: None

This course provides a broad understanding of the principles underlying data engineering and management. With the introduction of SQL, this course aims to help students get started with developing their own datasets through harvesting, processing, aggregation, analysis, and visualization to make data-driven decision.  Working with a repository of public use data, students will discuss real case studies focused on specializations in the areas of Minority Health & Health Disparities, Environmental Justice, and Economic Empowerment. Real datasets are used in comprehensive projects.

DATA-802. Data Science Practicum/Internship. 2 crs. PREREQ: None

The Applied Data Science and Analytics Practicum /Internship course is an opportunity for students to apply principles, tools, theories, ideas, and skills learned in the classroom to a real-world problem. Student can engage in an (1) External Internship with an organization or government agency, (2) Internal Case Study Internship provided by the department, or (3) Internal Practicum research project to exercise their skills in Data Science and Data Analytics, and understand the culture around computing and management systems, operations, resources within a specialty area. The experience is obtained with organizations approved by the Center for Applied Data Science and Analytics Program under the guidance of faculty.

Summer Research Opportunities

Coming soon