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Livestream: Agile Data Science 2.0: Full-Stack Analytics app dev

July 12 @ 8:30 pm - 9:30 pm

NOTE: This is a Livestream event. Please follow the link below to watch. 
https://livestream.com/accounts/23925505/events/7525872

Agile Data Science 2.0 (O’Reilly 2017) defines a methodology and a software stack with which to apply the methods. *The methodology* seeks to deliver data products in short sprints by going meta and putting the focus on the applied research process itself. 

*The stack* is but an example of one meeting the requirements that it be utterly scalable and utterly efficient in use by application developers as well as data engineers. It includes everything needed to build a full-blown predictive system: Apache Spark, Apache Kafka, Apache Incubating Airflow, MongoDB, ElasticSearch, Apache Parquet, Python/Flask, JQuery. 

This talk will cover the full lifecycle of large data application development and will show how to use lessons from agile software engineering to apply data science using this full-stack to build better analytics applications. 

The entire lifecycle of big data application development is discussed. The system starts with plumbing, moving on to data tables, charts and search, through interactive reports, and building towards predictions in both batch and realtime (and defining the role for both), the deployment of predictive systems and how to iteratively improve predictions that prove valuable by building an experimental setup. 

About the Speaker 

Russell Jurney is principal consultant at Data Syndrome, a product analytics consultancy dedicated to advancing the adoption of the development methodology Agile Data Science, as outlined in the book Agile Data Science 2.0 (O’Reilly, 2017). 

He has worked as a data scientist building data products for over a decade, starting in interactive web visualization and then moving towards full-stack data products, machine learning and artificial intelligence at companies such as Ning, LinkedIn, Hortonworks and Relato. 

He is a self-taught visualization software engineer, data engineer, data scientist, writer and most recently, he’s becoming a teacher. In addition to helping companies build analytics products, Data Syndrome offers live and video training courses. 

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.c….

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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.

Details

Date:
July 12
Time:
8:30 pm - 9:30 pm
Event Category:
Website:
https://www.meetup.com/Metis-Chicago-Data-Science/

Venue

Livestream
https://livestream.com/metis/events/7555210
Chicago, IL us

Organizer

Metis: Chicago Data Science