Dear BangPypers, QuantumBlack (a McKinsey Company) and Analytics Vidhya invites all coders & data professionals in data science to come and join us for *QuantumBlack Hackathon* <https://datahack.analyticsvidhya.com/contest/quantumblack-online-hackathon/?utm_source=pythoncommunity> where you will get a glimpse at the problems and challenges that data engineers at QuantumBlack solve on a daily basis.
Before it can conduct analysis on data collected by multiple data sources and build models, an organization must know: - how many cases are in a data set? - what variables are included? - how many missing values there are? - what general hypotheses the data is likely to support? Do you have what it takes to explore raw datasets from multiple sources and find crucial insights? Here is the ultimate chance to showcase your data wrangling skills. Register now! *Duration: 10 Days * *Dates: 5th - 14th July 2019* *Prizes: iPad Pro, iPhone XR, Apple Watch & Interview Opportunities with QuantumBlack.* Participate in this BIG hackathon, win exciting prizes and selected candidates will get interview opportunities for Data Engineering roles at QuantumBlack. *Register Here:* *https://datahack.analyticsvidhya.com/contest/quantumblack-online-hackathon/* <https://datahack.analyticsvidhya.com/contest/quantumblack-online-hackathon/?utm_source=pythoncommunity> *Prizes* - 1st Prize – iPad Pro, 12.8 inches, 128 GB - 2nd Prize – iPad Pro, 12.8 inches, 128 GB - 3rd Prize – iPhone XR - 4th Prize – iPhone XR - 5th Prize – Apple watch series4 – GPS + Cellular - Some selected participants will be invited for interviews for Data Engineering opportunities with QuantumBlack. *About QuantumBlack:* QuantumBlack, a McKinsey Company is an advanced-analytics McKinsey team operating at the intersection of strategy, technology and design to improve performance outcomes for organizations. In 2015 QuantumBlack became part of McKinsey & Company. *Come be a part of this hackathon. * Regards -- *Deepika Singhal* -- This message contains confidential information and is intended only for the individual named. If you are not the name addressee you should not disseminate, distribute or copy this e-mail. You cannot use or forward any attachments in the email. Please notify the sender immediately by e-mail if you have received this e-mail by mistake and delete this e-mail from your system. Analytics Vidhya Educon Private Limited, DLF Phase 2, Gurgaon, India, www.analyticsvidhya.com <http://www.analyticsvidhya.com> _______________________________________________ BangPypers mailing list BangPypers@python.org https://mail.python.org/mailman/listinfo/bangpypers
