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7 Data Science and Big Data Summer Course Programs
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CY Cergy Paris University - CY Tech
Summer School in Artificial Intelligence & Big Data
- Cergy, France
Summer Course
Full time
3 weeks
On-Campus
English
This course will promote students' good understanding of the Big Data eco-system, and current trends, highlight the Big Data challenges, allow students to build on-demand Big Data applications and show them how to solve advanced analytics problems with Big Data using cutting-edge technologies.
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.
Stanford Summer Session
Summer Course: Data, Algorithms, and Inequality in the Digital Age
- Stanford, USA
Summer Course
Full time
8 weeks
On-Campus
English
In this course, students will learn how data can both reveal and reinforce existing social inequalities, and how data can be used critically and responsibly. Alongside readings and discussions, this class will also include hands-on workshops in R to introduce tools for analyzing and visualizing data.
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Algebra Bernays University
Summer Program in Data-Driven Storytelling
- Zagreb, Croatia
Summer Course
Full time
4 weeks
On-Campus
English
Storytelling skills are among the most important skills today – the skills we all should practice. When combined with data, stories can become powerful tools in the digital industry. The program aims to teach you how to think out of the box and create interesting and relevant stories using data.
Boston University Summer programs
Fast-track counseling
Computing & Data Sciences Summer Course
- Boston, USA
Summer Course
Full time
12 weeks
On-Campus
English
Fast-track counseling
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.
Copenhagen Institute of Interaction Design
Digital Learning, Copenhagen 2020 Summer Workshop: Visualizing Systems
- Copenhagen, Denmark
Summer Course
Full time
5 days
Distance Learning
English
Unravel complex systems and visualize their interactions. Experiment and reimagine them through interventions, algorithms, models, and simulations. Communicate your understanding through powerful system visualizations.
Learn more about Data Science and Big Data Summer Course programs
You'll spend a focused few weeks doing what data scientists actually do, collecting, analyzing, and interpreting large datasets to answer real questions. Summer coursework in data science and big data moves fast, giving you concentrated exposure to methods that take months to develop in a standard program.
The learning environment fosters independent thinking and collaborative problem-solving across a compact, intensive schedule. Through applied coursework, you'll practice statistical analysis, data visualization, and the fundamentals of machine learning, working with industry-standard tools to clean and model complex data. Modules often cover database management, predictive analytics, and the ethical considerations that come with handling large-scale information.
This kind of short-format program suits you if you're testing the field before committing to a full degree, strengthening your portfolio between academic years, or adding quantitative skills to a background in business, social science, or another discipline. Career paths that draw on these competencies include data analysis, business intelligence, and research roles across finance, healthcare, logistics, and tech sectors. A summer program can sharpen exactly the skills employers look for when reviewing early-career candidates.