Data Science Consultant, Ex-Apple Manigandan has more than 16 years of experience in cloud projects for Fortune 500 companies. He has a strong background in the architecture and implementation of AWS, Azure, and GCP, along with hands-on experience in DevOps tools. Dario Silic PhD, Universit...
到了大三的上学期,我了解到我们学校有一个公派交换的项目,这次项目只有两个名额,要求是托福达到95分。
课程:https://businessdatascience.nl/BDS-curriculum 【偏学术、偏商科】“aiming to train future PhD students who will start their doctorate at one of the Schools in business and economics of the three partner universities: University of Amsterdam, Erasmus University Rotterdam, and Vrije Universiteit A...
In the newly established research group “Statistics & Data Science” (https://psychologie.unibas.ch/en/fakultaet/abteilungen/statistics-and-data-science/), we develop and evaluate statistical models and analysis methods in psychology. Our research focuses on psychometric models (e.g., Item Respons...
Data sharing and the future of science Who benefits from sharing data? The scientists of future do, as data sharing today enables new science tomorrow. Far from being mere rehashes of old datasets, evidence shows that studies based on analyses of previously published data can achieve just as ...
A curated list of awesome resources for practicing data science using Python, including not only libraries, but also links to tutorials, code snippets, blog posts and talks. Core pandas - Data structures built on top of numpy. scikit-learn - Core ML library, intelex. matplotlib - Plotting lib...
Science 2 Data Science, offered my the necessary experience to help transition from academia to industry. I have a very theoretical PhD, and i wanted a platform to show off programming and data science skills that i had aquired through self teaching. S2DS London was this perfect platform!
:memo: An awesome Data Science repository to learn and apply for real world problems. - academic/awesome-datascience
Emailphdadmissions@wbs.ac.uk Please quote DATASCIENCE on your application and submit by 1 March ...
By doing data science, of course! Okay, okay - that might not be particularly helpful when you're first starting out. In this section, we've listed some learning resources, in rough order from least to greatest commitment - Tutorials, Massively Open Online Courses (MOOCs), Intensive Programs...