Summer 2025 Application is Now Open! Apply Today!
Open the gateway into the expansive world of data science, where machine learning, artificial intelligence, and big data are pivotal tools in shaping our future.
Course Description
Data Science is a multidisciplinary field blending data inference, algorithm development and technology, that stands at the forefront of transforming raw data into meaningful insights and innovations. At its core, data science involves extracting knowledge and insights from structured and unstructured data, using methods rooted in statistics, machine learning, and data analysis. This field is pivotal in today's information age, driving decision-making in industries ranging from healthcare to finance, and influencing societal advancements at an unprecedented scale. This course emphasizes the dual importance of quantitative analysis and qualitative interpretation to understand and leverage critical data. Beginning with Python programming fundamentals - a cornerstone in the data science toolkit - the curriculum advances through vital concepts such as data structures, manipulation, and exploratory data analysis (EDA). A special focus on Natural Language Processing (NLP) underscores the interdisciplinary nature of data science, integrating computational methods with linguistic insights. The course intertwines theoretical understanding with practical application, ensuring students not only learn the mechanics of data science, but also develop a critical, data-driven mindset. From engaging in hands-on projects to delving into real-world datasets, students will acquire the skills to convert data into compelling stories and actionable intelligence.
Instructor Bio
Christian Darabos, Ph.D., is the Senior Director for Research Computing and Data Services at Dartmouth College. He holds a double PhD degree in Business Information Systems and Molecular Biotechnologies from Switzerland and Italy. Christian leads a team of over 20+ IT professionals, software engineers, domain experts (STEM, GenAI/AI/ML, Data Science, GIS), and facilitators who provide comprehensive support and services covering the campus' research community computational needs. This includes high-performance and cloud computing, data storage, grant support, software licensing, security and privacy compliance for sensitive data computing and storage, and custom software solutions developments.
Admissions Criteria
Program Outcomes
Disclaimer
Information subject to change as program updates come in for 2025!
Summer Discovery Certificate of Completion
After successfully finishing this course, you will be awarded a certification completion for your accomplishment.
*This is a preview, not what you will receive