Data Preprocessing for Data Science

University of Maryland, Baltimore County (UMBC), founded in 1966 and located near Baltimore, is known for strong programs in STEM, the arts and professional fields. With a student body of roughly 13,600 and more than 1,400 international students, UMBC combines research intensity with a student centered culture that values innovation, inclusivity and experiential learning. Its urban proximity offers connections to industry hubs and research institutions in the Baltimore and Washington corridor.

The university provides an extensive selection of academic programs, with over 220 degree options spanning science, engineering, computing, business and liberal arts. UMBC emphasizes undergraduate research, entrepreneurship and interdisciplinary collaboration, supported by active faculty mentorship and modern facilities. Career services and corporate partnerships help students access internships, coops and job placements in competitive fields.

International students find a welcoming campus with robust advising, cultural organizations and pathways for academic transition. The surrounding region enhances practical learning through internships, research collaborations and service projects. For students aiming to pursue rigorous study in technology, research or professional practice while benefiting from personalized support and strong employer links, UMBC offers a dynamic and opportunity rich environment.

The Data Preprocessing for Data Science program is for students who want to learn about data science. This non-degree program is one week long and taught in English. It helps students learn how to prepare data for analysis and make informed decisions.

The program covers topics like data cleaning, data transformation, and data visualization. Students learn skills like programming, data analysis, and data interpretation. They also get to work with tools like Python and R.

After completing this program, students can pursue careers like Data Analyst, Business Intelligence Developer, or Data Scientist. They can work in industries like finance, healthcare, or technology, and for employers like Google or Microsoft.