After three years, NYC School of Data has built a collaborative framework of relationships that has demystified data and technology, fostered participatory democracy, built cross-borough relationships, and mentored a new generation of civic leaders. Tab will move on to the next part of the site rather than go through menu items.In some cases, test results are also reported by student characteristics including disability status, English Language Learner (ELL) status, race/ethnicity, eligibility for free and reduced price lunch status, and gender. This year’s conference kicks off NYC’s annual Open Data Week and features OVER 24 sessions organized by NYC’s civic technology, data, and design community for YOU! Students will need to bring laptops to class.This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R. It will introduce you to data mining, performance measures and dimension reduction, regression models, both linear and generalized, KNN and Naïve Bayes models, tree models, and SVMs as well as the Association Rule for analysis. This year, we wanted to focus on civic engagement with the city’s data producers. We’re using Sched.com to host our session schedule, session descriptions, and information about our speakers. SSA Report by School, Second Quarter 2019 (Excel) 3. Network with our alumni and hiring partners from these companiesJoin us on Wednesday, August 12, and hear from bootcamp alumnus Raul Vallejo as he shares first-hand experiences on how he built a career in data science and what it’s like to work in the field today. We concentrate on language basics such as list and string manipulation, control structures, simple data analysis packages, and introduce modules for downloading data from the web.Big Data with Amazon Cloud, Hadoop/Spark and DockerThis is a 6-week evening program providing a hands-on introduction to the Hadoop and Spark ecosystem of Big Data technologies. Race or ethnicity: 1. This class targets people who have some basic knowledge of programming and want to take it to the next level. Open Data is free public data published by New York City agencies and other partners. NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry.
The course will begin with a review of Python concepts needed for our examples. Programming will be done in Python. If you bring your laptop, don’t forget your power adapter!FYI – We will not have a coat check, but we will have shared coat racks around the facility.
The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. Welcome to NYC School of Data 2019!! Feel free to build your schedule via NYC School of Data is a mix of panels, conversations, workshops, and projects. The course will cover these key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. He will share pieces of advice and valuable lessons pulled from personal experience while learning data science and working both independently and within a larger team of data scientists.
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