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DTSTART;TZID=America/New_York:20220204T140000
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SUMMARY:Data Science Workshop Series: Introduction to Python
DESCRIPTION:Watch the recording now by clicking on the image above\n\n\n\nAre you interested in learning data science and modern computational tools for your research?  If so\, come join our Data Science Workshop Series on topics including Python Programming\, Machine Learning\, Distributed Machine Learning for Big Data\, and Deep Learning. \n\n\n\nThe workshop offers practical experience in learning Python\, especially for beginners. By the end of the workshop\, the participants will be able to write simple scripts\, understand Python modules\, and manage packages. \n\n\n\nThis is a virtual event\, and it is free. Register on Eventbrite: https://www.eventbrite.com/e/introduction-to-python-tickets-255576445027 \n\n\n\nThis workshop is hosted by the Office of Advanced Research Computing (OARC)\, Rutgers University\, organized by Bala Desinghu in collaboration with the Eastern Regional Network (ERN) and the New Jersey Big Data Alliance (NJBDA).  \n\n\n\nParticipants are encouraged to attend with campus partners representing a variety of stakeholders for campus research and research computing (e.g.\, researchers\, research computing professionals\, students\, staff\, faculty\, and practitioners\, etc.). \n\n\n\nFor additional information\, feel free to contact bala.desinghu@rutgers.edu\, forough.ghahramani@njedge.net\, or gavirapp@kean.edu.
URL:https://njbda.org/event/data-science-workshop-series-introduction-to-python/
LOCATION:New Jersey
CATEGORIES:workshops
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DTSTART;TZID=America/New_York:20220218T140000
DTEND;TZID=America/New_York:20220218T170000
DTSTAMP:20260421T125725
CREATED:20220208T143724Z
LAST-MODIFIED:20220315T202710Z
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SUMMARY:Data Science Workshop: Python for Big Data
DESCRIPTION:Watch the recording now by clicking on image above\n\n\n\n \n\n\n\nPython for Big Data Analytics\n\n\n\nIn recent years\, Python has become one of the top programming languages for doing data analysis due to its inherent advantages such as simplicity\, readability\, portability\, etc.\, However\, Python is slow compared to C or Fortran\, and it does not manage memory well. These limitations\, with speed and memory management\, may not be significant when analyzing small datasets\, but they become bottlenecks when analyzing big datasets. \n\n\n\nTo address the challenges associated with big data analytics\, the Python community developed and tested several techniques. In this workshop\, we will go through some of these techniques including vectorization\, parallelization\, just in time compilation\, and distributed task executions. We will do hands-on exercises to emphasize the following solutions. \n\n\n\nObjectives:\n\n\n\nHow to speed up the data analysis? \n\n\n\nWhat to do when the data set size exceeds the available physical memory? \n\n\n\nHow to distribute the workloads when doing machine learning for big data sets? \n\n\n\nWhat is needed? \n\n\n\nLaptop/Desktop with Internet connection \n\n\n\nDuration: \n\n\n\n3 hours \n\n\n\nProgramming Platform: \n\n\n\nOn-line resource or Laptop. Instructions for on-line resources will be given in the workshop. \n\n\n\nPrerequisite: \n\n\n\nBasic laptop usage. Basic knowledge of Python is helpful for doing the hands-on session. \n\n\n\nSlides and materials: \n\n\n\nWill be provided in the workshop \n\n\n\nRegistration: \n\n\n\nAfter registration\, the zoom link will appear on the registration page and as well as in your confirmation email. Register on Eventbrite now! \n\n\n\nThis workshop is hosted by the Office of Advanced Research Computing (OARC)\, Rutgers University\, organized by Bala Desinghu in collaboration with the Eastern Regional Network (ERN) and the New Jersey Big Data Alliance (NJBDA). \n\n\n\nParticipants are encouraged to attend with campus partners representing a variety of stakeholders for campus research and research computing (e.g.\, researchers\, research computing professionals\, students\, staff\, faculty\, and practitioners\, etc.). \n\n\n\nFor additional information\, feel free to contact bala.desinghu@rutgers.edu\, forough.ghahramani@njedge.net\, or gavirapp@kean.edu.
URL:https://njbda.org/event/data-science-workshop-python-for-big-data/
LOCATION:New Jersey
CATEGORIES:workshops
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