• Livestream: (:HandsOnSession)-[:TO]->(:QueryGraphs)-[:USING]->(:CypherQueries

    This event will be Livestreamed here: https://livestream.com/metis/events/8740244 "There is a difference between knowing the path and walking the path." - Cypher from the movie “The Matrix”. Or, more succinctly, “I want to learn the basics of querying a label property graph database using my own keyboard.” This meetup is going to be a little different from most meetups with part of the session being a hands-on DIY session using the Cypher query language. Traversing graph data is all about understanding how graphs can be structured, and consequently how to write graph queries. This is no different than knowing RDBMS concepts and SQL to query relational data. The session will introduce the label property graph model, followed by learning to write basic Cypher to create and query data in a Neo4j graph database. Attendees will need access to a web browser that can access the meetup space’s, or their own wifi, and be comfortable using a web interface to type Cypher commands (similar to typing SQL queries). BIO: Dan is a Chicago based field engineer & architect with an extensive experience in all things data who is currently working for Neo4j. Dan has worked with clients to envision and successfully implement solutions in the Hadoop, NoSQL, Machine Learning, OLAP, BI, and Massively Parallel Database technology realms. The cumulation of all this experience led Dan to the realization that real value from data is driven by understanding the patterns of connections between data, not just the data as islands of hard-structured connected tables. This epiphany became a reality when he was fortunate enough to work with the innovators of graph database technology by becoming part of the Neo4j family. Dan has a BS in Computer Science from Purdue University, West Lafayette, a MBA from the University of San Francisco, and a MS in Predictive Analytics from Northwestern University. ***THE METIS DEMYSTIFYING DATA SCIENCE CONFERENCE IS BACK!*** Join the world's largest FREE, 2-day, live online data science conference! See the full schedule and register here: https://thisismetis.com/demystify Conference Details: When: July 30-31, 2019 Time: 10am - 5pm ET Where: Live Online Cost: FREE Keynotes: Hilary Mason (General Manager, Cloudera) and Tarry Singh (Co-founder, CEO and AI Neuroscience Researcher, deepkapha.ai) Register: https://thisismetis.com/demystify ************* About Metis Metis (https://thisismetis.com/) accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps. The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle. On the corporate side, Metis works with large organizations who want to upskill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education. ************* 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.

  • Livestream: Coding and Algorithm Interview Practice

    Metis Community Slack

    This event will be conducted online via Livestream and Slack: https://livestream.com/accounts/23925505/events/8740312 Join our Metis Community Slack channel here: http://bit.ly/MetisCommunitySlack Chicago Tech Interviews is conducting a coding workshop at Metis Chicago and you can join online! They'll share some coding interview problems over the Livestream, break into small groups to work on them (you can work from home and join the conversation in Slack), then present the problems and their solutions via the Livestream! Schedule: 7:15 - 7:30pm Share problems (Livestream) 7:15 - 8:30pm Work problems (Slack) 8:30 - 9:00pm Review Answers (Livestream) Problems they've covered in the past: https://docs.google.com/document/u/1/d/1ZGADw2_Uj9yqAW2ZrsYHyz_gYftRWWYYUsjp5-BGgJI • What they'll do: Work through some interview problems in groups, then present the answers at the end. • What to bring: Bring paper and pencil, laptops are optional but often useful. • Important to know: Be ready to write code. It might not be perfect but to do well on coding interviews, you absolutely need to be comfortable writing code on whiteboards in front of other people. ***THE METIS DEMYSTIFYING DATA SCIENCE CONFERENCE IS BACK!*** Join the world's largest FREE, 2-day, live online data science conference! See the full schedule and register here: https://thisismetis.com/demystify Conference Details: When: July 30-31, 2019 Time: 10am - 5pm ET Where: Live Online Cost: FREE Keynotes: Hilary Mason (General Manager, Cloudera) and Tarry Singh (Co-founder, CEO and AI Neuroscience Researcher, deepkapha.ai) Register: https://thisismetis.com/demystify ************* About Metis Metis (https://thisismetis.com/) accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps. The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle. On the corporate side, Metis works with large organizations who want to upskill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education. ************* 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 Being a Data Scientist for a City (Chicago)

    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! Tom Schenk Jr. is a researcher and author on applying technology, data, and analytics to make better decisions. He’s currently the director of analytics at KPMG where he leads the smart city and government analytics practice. He’s authored several publications, including a book on data visualization, book chapters on education research, and academic articles on a variety of subjects. Tom has previously served as Chief Data Officer for the City of Chicago, led education research for the State of Iowa, and has held a variety of positions within academia. Tom is the co-founder of the Civic Analytics Network at Harvard University’s Ash Center for Democratic Governance and Innovation. He is also the current co-organizer of the Chicago Data Visualization Group. His work has been featured in The Economist and Wall Street Journal while he’s been featured in television programs on PBS NewsHour and National Geographic Channel. Tom will give his talk "Will you be better off in a “Smart City”?" at the Demystifying Data Science Conference on Wednesday, July 31st at 1:30pm ET. ABSTRACT: Technology and data has begun to be embedded in the fundamental structure and processes of the cities and states in which we live. Smart cities are looking to incorporate data and technology that improve the quality of life for their residents and help governments be more efficient. But what does that mean and how can it be meaningful to you? We’ll explore practical, real-life ways that data science, internet of things (IoT), and open data are being used to help cities become more livable and modern that range from predictive analytics, API feeds of real-time public data, and connected sensors to provide block-by-block insights. More importantly, we’ll discuss how it matters to residents and visitors to the city. ***THE METIS DEMYSTIFYING DATA SCIENCE CONFERENCE IS BACK!*** A FREE, 2-day, Live Online Conference! Get more information and register for free here: https://thisismetis.com/demystify Conference Details: When: July 30-31, 2019 Time: 10am - 5pm ET Where: Live Online Cost: FREE Register for the free online conference here: https://thisismetis.com/demystify ************* About Metis Metis (https://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, interactive 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 until they're hired, 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 #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 22nd to August 29th Mondays and Thursdays 6:30pm - 9:30pm ET Garrett gets most excited about approaching data problems from a people-first perspective – employing empathy for the end user and using what we know or can learn about complex systems to drive optimal experiences and outcomes. In his current role as Director of Data Science at StockTwits, Garrett leads efforts to use data science and machine learning to understand the network’s social dynamics and develop research and discovery tools that are used by over one million investors. A self-proclaimed “recovering actuary”, he started his career at Xerox, building probabilistic life contingency models for healthcare and retirement plans, designing liability driven asset management strategies and using Monte Carlo techniques to value executive option plans. He holds a BA in Mathematics from the The College of New Jersey and is currently working towards his MS in Computer Science from Georgia Institute of Technology. He is also an alumni of the Metis Data Science Bootcamp. When not working Garrett enjoys playing basketball, going to the gym, keeping up with tech news and working through MOOCs to stay on top of the latest development in AI. 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.

  • One Day at Bootcamp: Python, focusing on Pandas and SciKit Learn

    NOTE: Please register via the form below by July 11th to be considered. Thank you! Form for registration: https://www.thisismetis.com/events/odab-registration-nyc Back by popular demand, Metis NYC will be hosting “One Day at Bootcamp” to give you a chance to see what the experience is really like! You’ll receive free, interactive training in Python, focusing on Pandas and SciKit Learn from Metis Senior Data Scientist, Kimberly Fessel. IMPORTANT NOTE: The curriculum is designed for those familiar with Python data structures, loops, functions, and other common programming requirements. Please register via the form only if you plan to attend - seats are limited and in high demand. Required prerequisites: Familiarity with beginner Python Computer with Anaconda installed Schedule: -10:00 - 10:30 - Setup and Orientation - 10:30 - 11:00 - Intro to Machine Learning - 11:00 - 12:00 - Intro to Pandas - 12:00 - 1:00 - Lunch* - 1:00 - 1:20 - Intro to Regression - 1:20 - 3:00 - Predicting House Prices with Regression *Lunch is not provided and it is recommended to bring your lunch After a brief introduction to the concepts of machine learning, we'll dive into a hands-on session with Pandas to wrangle data. After lunch, we'll reconvene and focus on the basic theory of linear regression and how to apply it in a practical way. We'll use a dataset about house prices in Iowa to learn to make useful predictions. About the Metis Instructor: Kimberly uses her background in applied math to discover data's what, why, and how. Kimberly joins Metis from MRM//McCann, where she focused on helping clients understand their customers by leveraging unstructured data with modern NLP techniques. She is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute and completed a postdoctoral fellowship in math biology at the Ohio State University. ***THE METIS DEMYSTIFYING DATA SCIENCE CONFERENCE IS BACK!*** For the third year in a row, Metis is hosting Demystifying Data Science: A FREE, 2-day, Live Online Conference! Get more information and register for free here: https://thisismetis.com/demystify Conference Details: When: July 30-31, 2019 Time: 10am - 5pm ET Where: Live Online Cost: FREE Register for the free online conference here: https://thisismetis.com/demystify 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.

    5
  • AMA About Why I Prefer Python to My Other Computer Languages

    Metis Community Slack

    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! Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aims to help programmers write clear, logical code for small and large-scale projects. Hear from Metis NYC based Senior Data Scientist Vinny Senguttuvan about why he prefers the Python language He'll also compare Python to his other languages such as; Visual Basic, Java, C, C++, JavaScript, Matlab, etc. Bring your questions about different programming languages and be ready for a discussion about different computer programming languages. Vinny, a Metis data science instructor, views data as a facet of perception. Vinny comes to Metis after leading a team of Data Scientists at High 5 Games. Prior to that he taught Machine Learning at General Assembly and built tools for Animators and Effects Artists at Blue Sky Studios (the company that made Ice Age, Rio and The Peanuts Movie). He has a Masters in Computational Engineering and another in Creative Writing. He enjoys the nexus of mathematics, computer programming, human perception and arts. Over the past three years, Vinny has been knee-deep in large distributed data -- aggregating, building recommendation systems, measuring popularity and predicting Lifetime Value. In that time, he also finished a first draft of his novel. An avid programmer, Vinny has won various programming contests including the Regional ACM Collegiate Programming Contest. He has taught at the University of Miami and has given talks and presentations at various colleges and conferences. 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 at all. Sexual language & 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.

  • Livestream: Intro to Linear Algebra for Data Science

    Metis Livestream

    This event will be Livestreamed here: https://livestream.com/accounts/23925505/events/8707282 Before there was machine learning, there was linear algebra. And if you’d like to be proficient in data science, a basic understanding of linear algebra is essential. If you’ve ever wished to dive deeper into the math of your favorite algorithms, or if you’ve been meaning to crack open that college linear algebra book for a refresher but didn’t know where to start, this is the event for you! We’ll be going at a fairly quick clip through the fundamentals of linear algebra. The intention is not so much to learn all the linear algebra you’d ever need for data science, but rather to give you a solid footing so that you can kickstart your own studies. We’ll be starting with the basics and will assume no prior knowledge in linear algebra. We’ll spend about 90 minutes going through a lecture, with plenty of opportunity to ask questions. No technical background is required and you don’t need to bring a laptop (unless you’d like one to take notes on). You might want to bring a notebook and pencil to take notes. There will be time before and after to mingle and ask questions or for recommendations on your personal math journey. Are you thinking about applying to the Metis Data Science Bootcamp? Check out the Metis Admissions Prep here: https://www.thisismetis.com/admissions-prep Lara Kattan is a Senior Data Scientist at Metis. Sis constantly awe struck by how math and statistical models can so reasonably approximate the messy real world, and loves to share her passion for the theory. Lara comes to Metis from McKinsey, where she worked with financial institutions on risk modeling. Prior to settling into the practical world of consulting, Lara received a master's from the University of Chicago, where she had the privilege of thinking about problems with no real-world implications. There her passion for unstructured thinking and novel problem solving were nurtured and she took the lessons learned with her into conference rooms and PowerPoint decks. The statistical and mathematical elegance of data science are what animate her the most, but she gets her biggest joy from demystifying the rigorous mathematics for all audiences. If forced to snap out of her mathematical reveries, she's probably doing yoga, riding a bike, or drinking too much coffee. 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.

    2
  • Use Cases for Alternative Datasets in Data Driven Investing

    Please sign in at the front desk. We will explore what insights can be gained using using foot traffic data for retail stores, and what needs to be done to make the data useful. We will also look at how it correlates with more traditional datasets like retail sales. Zain Hoda is founder of Alpha Hat, a data analytics firm making alternative data useful and actionable for fundamental investors. He previously worked at BNY Mellon Asset Management, Ziff Brothers Investments, BlackRock, and Bloomberg. He has a BS in Computer Science from Stanford University and a Master in Finance from Princeton University. ***THE METIS DEMYSTIFYING DATA SCIENCE CONFERENCE IS BACK!*** For the third year in a row, Metis is hosting Demystifying Data Science: A FREE, 2-day, Live Online Conference! Get more information and register for free here: https://thisismetis.com/demystify Conference Details: When: July 30-31, 2019 Time: 10am - 5pm ET Where: Live Online Cost: FREE Register for the free online conference here: https://thisismetis.com/demystify ************* About Metis Metis (https://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, interactive 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 until they're hired, 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.

    5
  • Ask Me Anything About the Math Needed for Data Science

    Metis Community Slack

    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! Learning the theoretical background for data science or machine learning can be a daunting experience as it involves multiple fields of mathematics. Metis Senior Data Scientist Kimberly Fessel holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute and completed a postdoctoral fellowship in math biology at the Ohio State University. In this AMA Kim will answer your questions about the mathematics needed to start your journey into the world of data science. Below is a quick overview of the math needed for data science. Linear Algebra Used in machine learning (& deep learning) to understand how algorithms work under the hood. Basically, it’s all about vector/matrix/tensor operations, no black magic is involved! Calculus Used in machine learning (&deep learning) to formulate the functions used to train algorithms to reach their objective, known by loss/cost/objective functions. Statistics and Probability Used in data science to analyze and visualize data, in order to discover (infer) helpful insights. Kimberly uses her background in applied math to discover data's what, why, and how. Kimberly joins Metis from MRM//McCann, a leading digital advertising agency, where she focused on helping clients understand their customers by leveraging unstructured data with modern NLP techniques. She is passionate about data storytelling and the power of compelling data visualizations to challenge pre-conceived assumptions. Kimberly's enthusiasm for teaching comes from her days as an academic. She holds a Ph.D. in applied mathematics from Rensselaer Polytechnic Institute and completed a postdoctoral fellowship in math biology at the Ohio State University. In her spare time, Kimberly likes to stay active and particularly enjoys swing dancing, rollerblading, and jogging with her dog. 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.

    3
  • Ask Me Anything About the Metis Intro to Data Science Course

    Metis Community Slack

    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 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.