ODNAJDOWANIE, ŁĄCZENIE, ROZWIJANIE

Microsoft Reactor

Dołącz do firmy Microsoft Reactor i angażuj się ze startupami i deweloperami na żywo

Chcesz rozpocząć pracę ze swoją siecią AI? Firma Microsoft Reactor udostępnia wydarzenia, szkolenia i zasoby społeczności, aby pomóc startupom, przedsiębiorcom i deweloperom w budowaniu kolejnej działalności na podstawie technologii AI. Dołącz do nas!

ODNAJDOWANIE, ŁĄCZENIE, ROZWIJANIE

Microsoft Reactor

Dołącz do firmy Microsoft Reactor i angażuj się ze startupami i deweloperami na żywo

Chcesz rozpocząć pracę ze swoją siecią AI? Firma Microsoft Reactor udostępnia wydarzenia, szkolenia i zasoby społeczności, aby pomóc startupom, przedsiębiorcom i deweloperom w budowaniu kolejnej działalności na podstawie technologii AI. Dołącz do nas!

Wstecz

Build Skills: Clean and Prepare Data using Python

25 kwietnia, 2022 | 11:00 PM - 12:00 AM (UTC) Uniwersalny czas koordynowany

  • Formacie:
  • alt##LivestreamLivestream

Temat: Kodowanie, języki i struktury (w tym kodowanie GitHub i sztucznej inteligencji)

Język: angielski

Introducing Build Skills, the new Microsoft Reactor series to help you learn valuable tech skills and discover new career paths. This series of livestream workshops (and available on-demand after) covers foundational skills in coding, data science, web development, devops, and so much more. Taught by Microsoft engineers, students, and community leaders, this is the place to learn by doing, follow at your own pace in a fun and relaxed atmosphere, and get your questions answered. Join us today and get the skills you need today for the job roles of tomorrow!

Say you want to perform some analysis on a dataset that you find interesting -- like the squirrel population of Central Park (https://www.thesquirrelcensus.com), or various types of French cheese (https://www.kaggle.com/mathurinache/french-cheese-detection). The first thing you'll need to do with any dataset is to clean it up. Many datasets have missing information or won't be formatted in the exact way you'd like.
In this livestreamed workshop, you will learn how to use Jupyter Notebooks with the NumPy and Pandas libraries in Python. Then you’ll prepare your data for analysis and visualization with DataFrames and Matplotlib. Come join Justin and let’s learn together!

Who is it aimed at?

  • Beginners to Python and Data Science. Some familiarity with programming recommended.
  • Students or learning professionals interested in how to use Jupyter Notebooks to run Python for data science projects.
  • Student Ambassadors whom would like to share this workshop with their peers!

More learning / prerequisites:
Manipulate and Clean Data in Python: https://aka.ms/CleanDatainPython

About the speaker
Justin Garrett is host of this Just IN and a Principal Cloud Advocate in Cloud + AI Engineering at Microsoft. Justin works closely with learner communities to help address the skills gap in cloud development and manages a team of Cloud Advocates from around the world that do likewise. You’ll find him leading workshops at Microsoft Reactors, mentoring Student Ambassadors, and helping engineers improve Azure, GitHub and Visual Studio. Justin’s career at Microsoft also spans 16 years across Analytics, Windows, Bing search, Edge browser, Web Platform and Cloud Computing. In his spare time, he enjoys gardening and is an avid Pacific Northwest mountaineer. Follow him on www.linkedin.com/in/justgar and https://twitter.com/justgar

Ricardo Prins
Ricardo is a Gold Microsoft Learn Student Ambassador from Brazil, currently living and studying in Utah, USA. His areas of interest are Quantum Computing, Machine Learning, and Mathematics. He currently contributes to communities all around the world in developing learning material for introductory programming concepts, data structures and algorithms, and design patterns.

Głośniki

  • Justin Garrett

    • Principal Cloud Advocate

    Microsoft

Zdarzenia pokrewne

Poniższe wydarzenia mogą być również dla Ciebie interesujące. Koniecznie odwiedź nasze Strona główna reaktora , aby wyświetlić wszystkie dostępne zdarzenia.

W przypadku pytań skontaktuj się z nami pod adresem reactor@microsoft.com