• Livestream: Lightning Talks & Talk Practice Night (Python)!

    This event will be Livestreamed here https://livestream.com/accounts/23925505/events/8682969 This is your chance to get on stage as New York Python does monthly Lightning Talks! **What is a Lightning Talk?** A lightning talk... • ... is a 5-minute talk on any topic, technical or non-technical (as long as its not a marketing pitch.) • ... can be given by anyone, even someone totally new to Python! (Share your experiences learning Python!) • ... often about something cool you just learned or some open source software you wrote. • ... but doesn't need slides and doesn't even need to be prepared! ~*~*~*~*~*~*~*~*~ SIGN-UP to speak here: http://bit.ly/2CXq1cT Signing up in advance isn't required -- if you'd prefer, just show up and talk. ...Need an idea for a talk? The above spreadsheet includes talk ideas! ...Want to see someone give a talk on a specific topic? Add a request to the spreadsheet above! ...Want to give a talk? Jessica Garson has written up some great advice on how to prepare and make the most of it! See it here! http://bit.ly/2Uu3YRY About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • Livestream: Rocking Data Science Interviews!

    Metis Livestream

    This event will be Livestreamed: https://livestream.com/metis/events/8565441 EVENT Interviews suck. Interviews are an inefficient and biased way to determine and evaluate a person's skills and qualities, and data science interviews in particular tend to test for wrote memorization. Fortunately, interviews tend to cover a relatively small and standardized set of concepts, which makes it easy to brush up, and bring your A-game. We'll cover a list of the concepts I use when leading interviews, have heard from colleagues, or have seen in the wild. I won't promise that this will land you your next job, but it should be a good place to start your review as you journey into the wild. BIO Brendan Herger enjoys bridging the gap between data science and engineering, to build and deploy data products. He is a Senior Data Scientist at Metis. Brendan brings a unique combination of machine learning, deep learning, and software engineering skills. In his previous work at Capital One and startups, he has built authorization fraud, insider threat, and legal discovery automation platforms. In each of these cases he's lead a team of data scientists and data engineers to enable and elevate his client's business workflow (and capture some amazing data). When he's not knee deep in a code base, Brendan can be found traveling, sharing his collection of Japanese teas, and playing board games with his partner in Seattle. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel!Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • Livestream: Data and Tech for Longevity, An Introduction

    This event will be Livestreamed here: https://livestream.com/accounts/23925505/events/8677196 This meetup will start with a high-level overview of aging: 1. Why aging? 2. What happens to you as you age? 3. Does every species experience aging or is it just us? 4. [How you are (most likely) going to die]....you’re welcome. 5. How is all this happening — what’s making you age anyway? 6. Can’t anyone stop this aging business? Next, we will discuss some high-level approaches to ending aging and extending life, the role of AI/tech in longevity, why now is the best time to get started, and what you can do about it (you can help and you can help in a big way). Shreya will then discuss her motivation for starting MoreLife (https://www.morelife.tech/) and explain how you can work on interesting data and engineering projects to help solve one of the biggest problems impacting humankind. We are now at a juncture in the aging field: year over year, there is an exponential increase in data availability, but not necessarily in the availability of data scientists, artificial intelligence practitioners, software engineers, data engineers, machine learning experts, and more. The goal of MoreLife is to bridge this gap between aging research labs and data science / machine learning / engineering expertise. MoreLife is made up of two groups: experts and volunteers. Experts from the aging sector share a list of problems that are slowing them down. Volunteers, then, try to help eliminate these problems. MoreLife is inspired by researchers in aging and longevity, folks in tech who dedicate their free time to meaningful projects, and philosophers behind efforts such as DataKind, Code for America, Scikit-Learn and many others. Check out the meetup here: https://www.meetup.com/Data-Tech-for-longevity/ Shreya's background is in Math and Physics. She has over a decade of experience in data science, data strategy, and data products. She has worked in finance, edtech, civictech, and more. She also has her own data consulting company, under which she consults with edtech organizations, schools, districts, and cities on effectively using their data. She has recently started MoreLife, which is a result of one of her deepest yearnings: for humankind to have an option to live longer and healthier. The mission of MoreLife is to build a network that can help accelerate breakthroughs in aging and longevity. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • Livestream: Info Session Feat. Alumni Carlie Badder and Jhonsen Djajamuliadi

    Note: this event will be Livestreamed here: https://livestream.com/accounts/23925505/events/8675764 Join us on Livestream as the Metis Seattle team walks you through a sampling of what students learn during their 12 weeks of project-based data science work. You'll also hear from Metis alumni about how to prepare, what to expect, and what happens after you attend the Metis Data Science Bootcamp. Metis alum Jhonsen Djajamuliadi will present his final project at Metis and then will join Carlie Badder for a Q&A panel. About our alumni Carlie is a Data Scientist at Avanade. She has a passion for machine learning, translating data into insights, and making a difference in people's days. Her data science skill set is built upon a broad background of knowledge ranging from mechanical engineering and medical sciences to research and customer service. She loves being a part of multidisciplinary teams that value crossover and skill sharing, doing the dirty work and having big picture discussions. She graduated from the school of Engineering and Applied Sciences at the University of Pennsylvanian. Jhonsen is a recent Metis graduate with a unique background in Chemistry. His graduate studies focused on applying both experimental and computational techniques to solve protein structures. Data-driven research eventually led him into the world of data science and machine learning. The capstone project he will present at the Open House uses convolutional neural network to identify images of produce and provides a recommendation for personalized, healthier- ingredient-based recipes. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel!Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • AMA Ask Me Anything About Transitioning to Data Science from Academia

    NOTE: This is a live "Ask Me Anything" within the Metis Community Slack channel. To join, apply at the link below. http://bit.ly/MetisCommunitySlack Once you're in, join the #general channel and ask away! Looking to make the switch from academia to data science but not sure where to start? Join us to learn more about one Metis instructor's journey and how you, too, can evolve your career in this "Ask Me Anything." Kimberly Fessel is a bootcamp instructor at Metis's New York campus. Prior to joining the Metis team, she worked in digital advertising where she used natural language processing techniques to help clients better understand and enhance communication with their customers. Kimberly made the transition to data science following her role as a postdoctoral fellow at the Ohio State University. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute where she studied the nonlinear fluid-solid dynamics of the cochlea. She strongly believes that skills learned as an academic help strengthen careers in data science, including research experience, communication ability, as well as drive and determination. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • Livestream: Power of Workflows: A Problem Well-Stated is a Problem Half-Solved

    This event will be Livestreamed here: https://livestream.com/accounts/23925505/events/8689205 Data Science is a field with immense breadth and depth. As our toolkit grows and we learn how to chain models and pipelines together, there's no limit to the time and complexity we can devote to over-engineering a solution. In my role as a data science instructor at Metis, and during my tenure at Microsoft before that, I've observed time and again that many data scientists seem to be much better at learning algorithms and software libraries than they are at identifying good business cases to solve, and designing workflows that will enable them to work productively from start to finish. In this workshop I share a user-focused design approach to building an end-to-end minimum viable product for any data science project. By asking and answering the right questions at the start of any new project, we can set a course that points to clear choices for the design decisions we face along the way. I teach this in the context of building a music genre classification model that can be used to generate playlists from text descriptions. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • Ask Me Anything About the Metis Beginner Python and Math for Data Science Course

    NOTE: This is a live "Ask Me Anything" within the Metis Community Slack channel. To join, apply at the link below. http://bit.ly/MetisCommunitySlack Once you're in, join the #ama channel and ask away! Want to learn more about data science but have no idea where to start? This course is for absolute beginners looking for an introduction to the basic Python programming and mathematical principles essential to learn as a first step toward developing data science skills or a new career in the field. We will cover: Introduction to programming in Python Common Python libraries: NumPy, Pandas, Matplotlib Foundations of linear algebra Foundations of calculus Foundations of probability Foundation of statistics Course details: June 24 to August 5 Mondays and Thursdays 6:30pm - 9:30pm PT Samiyeh (Sami) is currently a Data Scientist with Intertrust, where she works on industry-leading machine learning algorithms in IOT to optimize the operation of the “vertical industry,” such as energy and insurance. With her teaching experience and knowledge, Sami is leading the Data Science internship program for Interturst. Sami has a doctorate in Theoretical Physics from Florida State University and the National Hight Magnetic Field Laboratory. During her PhD, she worked on advanced statistical analysis to understand the nature of disordered systems—such as glasses. Prior to joining Intertrust, she was an adjunct lecturer at San Francisco State University. Teaching is her passion and she enjoys sharing her experiences with anyone willing to learn. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • Ask Me Anything About the Metis Beginner Python and Math for Data Science Course

    NOTE: This is a live "Ask Me Anything" within the Metis Community Slack channel. To join, apply at the link below. http://bit.ly/MetisCommunitySlack Once you're in, join the #ama channel and ask away! Want to learn more about data science but have no idea where to start? This course is for absolute beginners looking for an introduction to the basic Python programming and mathematical principles essential to learn as a first step toward developing data science skills or a new career in the field. We will cover: Introduction to programming in Python Common Python libraries: NumPy, Pandas, Matplotlib Foundations of linear algebra Foundations of calculus Foundations of probability Foundation of statistics Course details: June 24 to August 5 Mondays and Thursdays 6:30 - 9:30PM PT Samiyeh is currently a Senior Data Scientist with Intertrust, where she works on industry-leading machine learning algorithms in IOT to optimize the operation of the “vertical industry,” such as energy and insurance. With her teaching experience and knowledge, she is leading the Data Science internship program for Interturst. Samiyeh has a doctorate in Theoretical Physics from Florida State University and the National Hight Magnetic Field Laboratory. During her PhD, she worked on advanced statistical analysis to understand the nature of disordered systems—such as glasses. Prior to joining Intertrust, she was an adjunct lecturer at San Francisco State University. Teaching is her passion and she enjoys sharing her experiences with anyone willing to learn. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • Ask Me Anything About the Metis Beginner Python and Math for Data Science Course

    NOTE: This is a live "Ask Me Anything" within the Metis Community Slack channel. To join, apply at the link below. http://bit.ly/MetisCommunitySlack Once you're in, join the #ama channel and ask away! Want to learn more about data science but have no idea where to start? This course is for absolute beginners looking for an introduction to the basic Python programming and mathematical principles essential to learn as a first step toward developing data science skills or a new career in the field. We will cover: Introduction to programming in Python Common Python libraries: NumPy, Pandas, Matplotlib Foundations of linear algebra Foundations of calculus Foundations of probability Foundation of statistics Course details: July 8th to August 15th Mondays and Thursdays 6:30 - 9:30PM CST Sergey Fogelson is the Vice President of Analytics and Measurement Sciences at Viacom. He began his career as an academic at Dartmouth College in Hanover, New Hampshire, where he researched the neural bases of visual category learning and obtained his Ph.D. in Cognitive Neuroscience. After leaving academia, Sergey got into the rapidly growing startup scene in the NYC metro area, where he has worked as a data scientist in alternative energy analytics, digital advertising, cybersecurity, finance, and media. He is heavily involved in the NYC-area teaching community and has taught courses at various bootcamps, and has been a volunteer teacher in computer science through TEALSK12. When Sergey is not working or teaching, he is probably hiking. (He thru-hiked the Appalachian trail before graduate school). About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.

  • AMA About the Beginner Python and Math for Data Science with Michael Jancsy

    NOTE: This is a live "Ask Me Anything" within the Metis Community Slack channel. To join, apply at the link below. http://bit.ly/MetisCommunitySlack Once you're in, join the #general channel and ask away! Want to learn more about data science but have no idea where to start? This course is for absolute beginners looking for an introduction to the basic Python programming and mathematical principles essential to learn as a first step toward developing data science skills or a new career in the field. We will cover: Introduction to programming in Python Common Python libraries: NumPy, Pandas, Matplotlib Foundations of linear algebra Foundations of calculus Foundations of probability Foundation of statistics Course details: July 8 to August 15 Mondays and Thursdays 1:30pm - 4:30pm ET Michael is an experienced data scientist and machine learning engineer, currently developing AI-powered iOS apps for musicians at Aleatoric. Michael has been a data scientist in Silicon Valley since 2011, where he’s worked in a variety of domains, including business analytics, music information retrieval, natural language processing, and computational biology. He is also an experienced instructor of data science, having taught in Galvanize’s data science bootcamp. In 2017, he founded Aleatoric Technologies, which builds AI-powered educational apps for musicians. He earned his BA from the University of Rochester, where he triple-majored in mathematics, economics, and music. About Metis Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science. Learn more about us at https://thisismetis.com/ Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack Metis Code of Conduct Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof). We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events. If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.