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Two Sigma is a technology company that applies a rigorous, scientific method-based approach to investment management. Since our founding in 2001, Two Sigma’s vision has been to develop technological innovations that intelligently analyze the world’s data to consistently deliver value for our clients. Our technology – inspired by a diverse set of fields including artificial intelligence and distributed computing – and our commitment to Research & Development aim to ensure that our methods are constantly improving and advancing.
Metis delivers an intensive, 12-week, instructor-led Data Science Bootcamp in New York City. The application period is underway now for this popular project-based program developed in collaboration with Datascope Analytics.
The course hammers the core data science tools of machine learning, statistics, and programming while students build a round portfolio of five complete data science projects. Upon graduating, students are prepared to hit the ground running as new data science hires, ready to acquire and clean structured and unstructured data, scrape the web, manage databases, design analyses and models, perform supervised and unsupervised machine learning algorithms, and interpret and communicate results, all within the practical context of the iterative design process.
Students build a strong foundation in python-language, the unix/linux command line, machine learning packages such as scikit.learn, other statistics modules including scipy and pandas, web scraping packages like BeautifulSoup and Selenium WebDriver, PostgreSQL and mongodb databases, collaborative coding under version control with git, working on remote cloud servers such as rackspace, custom visualization tools, especially matplotlib and d3.js with support in HTML, CSS, javascript and web hosting. Students will complete multiple data science projects with these tools.
Ongoing career coaching and job placement support means that graduates are assisted in the development of an online portfolio of projects. They are trained in interviewing, resume-writing, and salary negotiation, are introduced to the Metis hiring partners and participate in an in-person Career Day.
The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers.
The Python Software Foundation (PSF) is a 501(c)(3) non-profit corporation that holds the intellectual property rights behind the Python programming language. We manage the open source licensing for Python version 2.1 and later and own and protect the trademarks associated with Python. We also run the North American PyCon conference annually, support other Python conferences around the world, and fund Python related development with our grants program and by funding special projects.
Ttwick is a first mover that is capitalizing on the opportunities of the new Data Economy, by engineering and developing new products and services with a wide range of B2B and B2C applications. The company has its roots in Wall Street, where its founder and CEO engineered data products to securitize billions of USD dollars in exotic deals.
Ttwick developed and applied for several patents for a next generation search engine technology, with multiple advantages over legacy search engines by coupling semantic search, data collection, and data augmentation in real-time. Today, this technology is the backbone of three separate B2C search engines for 1) social, self-published content and news 2) daily deals, and 3) general knowledge discovery.
In the B2B side, ttwick is currently advising a select group of financial and marketing professionals who are using our search technology enhanced with proprietary financial models to gain powerful insights into corporate and market events.
The Master of Engineering in Big Data is delivering a new Class of Data Scientist prepared for real world applications of deep data science skills. This program is tailored for students with a background in Applied Statistics, Mathematics, and Computer Science who are looking to join the world of professional Data Scientists.
The Masters program is designed to train students in the skill sets required for success in the field of Data Science, providing the necessary background in Statistics, Machine Learning, and Computer Science, practical coding abilities, and real world experience with industry partners, bridging the gap between Academia and Industry.
Our mission is to provide students an interdisciplinary set of skills, including superior analysis methods, Machine Learning, Visualization, and Database management as well as Data Science communication and leadership training. Our mentorship program grooms students to gain the independent ability to define and solve industry-related questions and recommend actionable business strategies facilitated by Machine Learning solutions.
The Masters program is 12 months long, including an internship and on-site practice with Galvanize faculty mentors.
The University of New Haven is a private, top-tier comprehensive institution recognized as a national leader in experiential education. Founded in 1920 on the campus of Yale University in cooperation with Northeastern University, the University of New Haven moved to its current West Haven campus in 1960. The University operates a satellite campus in Tuscany, Italy, and offers programs at several locations throughout Connecticut and in New Mexico. The University of New Haven is fully accredited by the New England Association of Schools and Colleges (NEASC).
The University of New Haven, brings nearly a century of rich history, providing GalvanizeU with academic expertise, support, and degree-granting capacity. While GalvanizeU’s campus and programs are located in the San Francisco Bay Area, all degrees are granted through the University of New Haven and courses are delivered by faculty appointed by the University.
