For students that want to make the most of their four years’ worth of college or expand their education after graduation, summer courses offer that opportunity. A course takes at most two months and can have more flexibility for the student’s progress, especially with distance learning options.
What is a summer course in data science? Data science resides at the intersection between statistics and computer science, dealing with collecting and analyzing large amounts of data. Students can learn about hardware and software employed to generate such data, how to interpolate trends and emergent behavior from large sample sizes, and how to graph and visualize the data to convey and support their inferences. Distinguishing data science from statistics is often an emphasis of the program, along with focusing on technology, especially the use of the Internet as an information channel.
Students that take a summer course in data science can develop skills in statistical analysis and computer science. More broadly applicable abilities they might build on, though, include communication, group work, acting as a liaison, and insight into other people.
Tuition for summer courses is relatively inexpensive compared to traditional college courses taking place in the fall or winter semesters. Exact pricing varies, though, and depends mainly on the individual schools and on the course hours the program requires.
Data science as a field has grown immensely in recent years, so students pursuing an education in data science can expect to enter an expansive job industry. Many companies employ data scientists as market researchers, database managers, or risk management consultants. Data scientists are also involved in work centered on predictive or pattern detection algorithms, which can put them in positions involving cyber security.
A summer course can be a powerful first step into a new branch of one’s education. If you want to learn more, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
Faculty of Applied Sciences - Ukrainian Catholic University
Lviv Data Science Summer School is an educational initiative from Applied Sciences Department of the Ukrainian Catholic University. The Summer School participants – under
Lviv Data Science Summer School is an educational initiative from Applied Sciences Department of the Ukrainian Catholic University. The Summer School participants – undergraduates, PhD students, young professionals – studies state-of-the-art methods and tools of Data Science, Machine Learning, Business Analytics. The school is oriented towards the basic level of participants’ knowledge. This year school dates are July 12-25.
The goal of the Summer School is to give the practice-oriented knowledge in the field of Data Science. The school’s program will incorporate three following stages. During the first stage participants will attend introductory courses that would make them familiar with the main theme of the school. During the second stage the students will be involved in several elective practice-oriented courses. The third stage will be substantially dedicated to working on the projects. The project topics will be provided by the supervisors: school’s lecturers, representatives of IT companies, and other partner organizations. The project work during several days means implementation and approbation of the previously obtained knowledge and skills. The project teams will present their results publicly at the end of the school....
Financial data analytics is in high demand in areas such as for predicting prices at the stock market or for analyzing the dependencies of prices on underlying components
Financial data analytics is in high demand in areas such as for predicting prices at the stock market or for analyzing the dependencies of prices on underlying components. Pattern mining or recommendation techniques represent are also of interest for a broad range of applications.
However, deep learning technologies, data and pattern mining, data visualization for human Artificial Intelligence(AI) interaction and enhanced user experience poses several challenges to financial data analytics.
This Summer School will introduce the basic, underlying machine learning principles (both supervised and unsupervised). The two-week course will also cover data and pattern mining on the web of special transactions-like data as well as visualization techniques....
Belgium, Brussels, Hungary, Budapest, France, Rennes+ 2 More
The EIT Digital Industry action line addresses the seamless integration of customer and retailer needs with the delivering of products through manufacturing and logistics
The EIT Digital Industry action line addresses the seamless integration of customer and retailer needs with the delivering of products through manufacturing and logistics. Digital manufacturing, referred to as Industry 4.0, uses intelligent sensors and control systems to allow real-time optimization of manufacturing and supply chain networks.
The summer school will provide an effective multidisciplinary learning environment through Open Innovation Lab concept already in place in the area of Bologna, by putting together students, university, and companies in a unique community toward the advancement of the whole Industry 4.0 ecosystem via collaborative interaction between all main actors. Moreover, informal meetings with the entrepreneurial local community will be arranged to foster exchange and generate new business ideas. Traditional classes will be integrated with other less formal teaching activities, more active and participated, by merging different ways of involving students, which will also address training soft skills: i) user-centric service design; ii) business plan and lean approach; iii) pitch preparation and attention to details; iv) creativity in innovation....
Belgium, Brussels, Italy, Bologna, France, Rennes+ 2 More
Within cities, predictive analytics play a role in many different domains such as citizen participation, city resilience, prevention of pollution, managing risks, public
Within cities, predictive analytics play a role in many different domains such as citizen participation, city resilience, prevention of pollution, managing risks, public transportation, and private mobility. Predictive analytics provides a way to shape data into meaningful decisions. It uses data analytics to make predictions and generate strategic, operational assets.
Public authorities and private companies can benefit from these insights and provide better services to citizens. The Summer School program will focus on the opportunities that data analytics can create for cities, citizens, and entrepreneurs in a wide range of user applications e.g. telecommunication infrastructure, urban logistics, tourism, security or social Wi-Fi....
George Washington University, Summer & Non-Degree Programs
This hands-on program is designed for international students who are English language learners to introduce them to concepts in cross-disciplinary research in a U.S. univ
Cross-disciplinary principles of data science and academic writing for research purposes
Program Dates: July 1 - August 10, 2018
This hands-on program is designed for international students who are English language learners to introduce them to concepts in cross-disciplinary research in a U.S. university. Students will engage with professionals to help solve problems in science and technology disciplines, as well as gain skills in research and writing techniques. In this program students will:
Connect with professionals in research-focused institutions.
Develop skills in problem analysis, literature research, teamwork, communication, and presentation.
Develop research-based writing skills including vocabulary, source evaluation, documentation, and cohesiveness.
Work in cross-disciplinary teams, using research methodologies to address issues and solve problems in areas such as statistics, computer science, mathematics, bioinformatics and more.
Develop leadership and teamwork
Discover and master international innovative business models and strategies
Gain the tools to solve the challenges facing global business
IAE Pau-Bayonne is the Graduate School of Management, the guarantor of graduate public training offer in Management, within the University of Pau and Pays de l’Adour. Our school offers selective degrees at Master and Ph.D. level, tailored to the needs of companies, and fed from the latest progress in the Management Sciences research area. IAE Graduate School of Management prepares our students to integrate high position jobs in various fields of Management in France or abroad.
-Develop leadership and teamwork
-Discover and master international innovative business models and strategies
-Gain the tools to solve the challenges facing global business’
-Combine in depth learning, international mobility and work experience...