Applied Data Science with Python (DATASCI 223)

The Applied Data Science with Python (DATASCI 223) course is offered in Winter 2026 for 2 units. This course provides a survey of Data Science methods in Python, covering common data science tools and processes, and spending one week per topic learning to build common ML/AI solutions.

Objectives

At the conclusion of this course, students will be able to:

• Develop Proficiency in Python Programming and Data Science Tools: Equip students with the skills to proficiently use essential data science technologies and processes common in industry; including Python, Git, SQL, Pandas, and data visualization libraries, providing a strong foundation for conducting data analysis in real-world scenarios.
• Apply Machine Learning to Solve Real-World Problems: Enable students to apply machine learning techniques including data cleaning, classification and time series analysis, to real-world data science challenges, emphasizing their practical application in fields like health data science.
• Implement Advanced Data Science Concepts: Empower students to implement advanced data science solutions, including generative AI and Large Language Model (LLM) development, with a focus on their relevance and applications in healthcare and health data analysis.
• Develop Effective Data Communication Skills: Enhance students' ability to communicate data insights effectively through data visualization and storytelling, a crucial skill for conveying findings in health data science contexts.

Prerequisites

• Familiarity with programming concepts, including loops, variables, and functions. Ideally, hands-on experience writing and running scripts such as in: Python, R, Bash, or other programming languages.
• Exceptions to this prerequisite may be made with the consent of the Course Director, space permitting.
• This course is part of the Health Data Science Masters and Certificate Program and may have space limitations. Auditing is not permitted.

Faculty

• Course Director: Christopher Seaman, MA

Format

• Lectures will be held on Wednesday, 1:00 PM - 3:00 PM, labs will be held following the lecture from 3:00 PM - 4:30 PM, Jan 7 - Mar 18.
• Each week will dive into a different focus area. The lecture will provide an overview of new concepts and tools introduced that week, closing with a hands-on exercise for students to apply those concepts while writing their own code.
• Labs will not introduce new material; instead, they provide a forum for collaboration between students and staff to help each other with the current material.
• Students are encouraged to collaborate in small groups but may also work independently. The class culminates with a larger, multi-week project applying advanced techniques or combining applications from multiple focus areas.

Materials

• Syllabus & lecture notes/slides
• Reference books (including freely available options)
• Tools:
  • Markdown
  • Python
  • Git + GitHub
  • Jupyter notebooks or Google Colab
  • Visual Studio Code

Grading

• Final grades will be based on the class participation (40%) and submitted exercises (60%).

Additional Information

• Only UCSF students (defined as individuals enrolled in UCSF degree or certificate programs) will receive academic credit for courses. Official transcripts are available to UCSF students only. A Certificate of Course Completion will be available upon request to individuals who are not UCSF students and satisfactorily pass all course requirements.
• UCSF Graduate Division Policy on Disabilities applies to this course.

University of California San Francisco

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Overview:

University of California San Francisco (UCSF) is a renowned public research university located in San Francisco, California. It is a leading institution in the fields of health sciences, biomedical research, and patient care. UCSF is known for its commitment to innovation, collaboration, and its dedication to improving human health.

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Services Offered:

UCSF offers a wide range of services to its students, including:

Academic Calendar:

Provides information on academic schedules and important dates.

Career Center:

Assists students with career exploration, job searching, and professional development.

Financial Aid:

Offers financial assistance to eligible students through scholarships, grants, and loans.

General Catalog:

Contains detailed information about academic programs, policies, and resources.

Library:

Provides access to a vast collection of books, journals, databases, and other research materials.

Registrar:

Handles student records, registration, and graduation.

Student Success Guide:

Offers resources and support services to help students succeed academically and personally.

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Student Life and Campus Experience:

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Key Reasons to Study There:

World-Class Faculty:

UCSF boasts a faculty of renowned researchers, clinicians, and educators who are leaders in their fields.

Cutting-Edge Research:

The university is at the forefront of biomedical research, with groundbreaking discoveries and advancements in various areas of health sciences.

Exceptional Patient Care:

UCSF is home to a world-class medical center that provides comprehensive and compassionate care to patients.

Vibrant Campus Community:

UCSF offers a diverse and supportive campus community with a strong emphasis on collaboration and innovation.

Location in San Francisco:

The university's location in San Francisco provides students with access to a vibrant city with numerous cultural, entertainment, and career opportunities.

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Academic Programs:

UCSF offers a wide range of academic programs across its various schools, including:

School of Dentistry:

Offers programs in dentistry, oral health, and dental research.

School of Medicine:

Provides education and training in medicine, biomedical research, and public health.

School of Pharmacy:

Offers programs in pharmacy, pharmaceutical sciences, and drug discovery.

School of Nursing:

Provides education and training in nursing, nursing research, and healthcare leadership.

Graduate Division:

Offers graduate programs in various disciplines, including biomedical sciences, public health, and bioengineering.

Global Health Sciences:

Focuses on global health issues and provides training and research opportunities in this field.

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Other: