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4 Data Science Summer Course Programs
University of Groningen
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Medical Sciences Summer School: Data Science and AI in Health
- Groningen, Netherlands
Summer Course
Full time
5 days
On-Campus
English
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The aim of the Summer School ‘Data Science and AI in Health’ is to introduce young, enthusiastic researchers to the principles of data science and AI in healthcare and clinical research. Participants will be introduced to various aspects of data science, such as setting up and implementing a project. This includes both the collection and cleaning of data and the practical conduct of an initial (machine learning) analysis of the collected data.
Stanford Summer Session
Summer Course: Principles of Data Science
- Stanford, USA
Summer Course
Full time
8 weeks
On-Campus
English
A hands-on introduction to the methods of principles of data science. Strategies for analyzing and visualizing tabular data, including common patterns and pitfalls. Data acquisition through web scraping and REST APIs. Core principles of machine learning: supervised vs. unsupervised learning, training vs. test error, hyperparameter tuning, and ensemble methods. Introduction to data of different shapes and sizes, including text, image, and geospatial data.
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Boston University Summer programs
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Computing & Data Sciences Summer Course
- Boston, USA
Summer Course
Full time
12 weeks
On-Campus
English
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Introduction to key concepts from calculus (differentiation and integration), probability (discrete and continuous random variables), and linear algebra (vector spaces, matrices, and linear systems).
Stanford Summer Session
Summer Course: Introduction to Stochastic Processes I
- Stanford, USA
Summer Course
Full time
8 weeks
On-Campus
English
Discrete and continuous time Markov chains, Poisson processes, random walks, branching processes, first passage times, recurrence and transience, stationary distributions. Non-Statistics master's students may want to consider taking STATS 215 instead.
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Learn more about Data Science Summer Course programs
Data Science degree programs at the Summer Courses level focus on equipping students with vital skills to analyze and interpret complex data sets. This dynamic field blends statistics, programming, and domain knowledge, making it particularly appealing for those interested in solving real-world problems.
You'll explore foundational methods such as data manipulation, statistical analysis, and visualization techniques. Courses typically cover topics like machine learning, data mining, and programming for data analysis, helping you develop competencies that are in high demand across various industries. Students often strengthen their adaptability while engaging with cutting-edge tools and methodologies in data handling.
Understanding the complexities of data science can be daunting, yet the supportive environment fosters independence and critical thinking. Graduates emerge prepared for diverse career paths, including roles in data analytics, business intelligence, and research, where they can apply their skills globally. Embrace the opportunity to expand your knowledge and enhance your career readiness in this exciting and evolving field.