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Intro to Python
24. 9. 2022 @ 14:00 - 16:00 SMT
#Programming #Beginner #Python
Improve your understanding on the basic functionality and usage of Python!
Intro to Python is part of the Signature Program of She Loves Data. Intro to Python serves as a foundation module to data analysis in Python. This series is hosted by She Loves Data India Chapter.
Target Audience:
– Beginners in programming and data analysis
– Analysts who want to upgrade their skills.
– She Loves Data SQL completer.
Speakers
Sr Product Analyst, Delivery Hero
Lindsay has more than 7 years data industry experience around marketing, business intelligence, and consumer data in digital tech space. An educator at heart, Lindsay has been advocating and teaching data for 5 years for corporates and bootcamp academy. Outside of work, she loves doing outdoor sports and Latin dancing.
Cloud Architect, Thomson Reuters
Rittika Jindal has around 14 years of experience in data and technology. She is working as Cloud Architect with Thomson Reuters, Bangalore, India. She has strong hands-on experience in building data lakes, data pipelines using Cloud(AWS and GCP) and traditional data warehouse technologies. She loves to trek in the Himalayas and practicing Yoga in her free time.
FAQ
Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!
Q. I’m based out of APAC. Can I still join?
A. Absolutely! This is an APAC-wide online event. You can join from any part of the world.
Q. Is it only for women?
A. This online webinar is open to all professional men and women. #HeLovesData, #TheyLoveData too!
Do you have any other question?
Please contact us and we’ll help you: support_india@shelovesdata.com
By registering you understand that the details you provide during the registration process will be collected and used by She Loves Data. Photographs and/or videos may be taken at the event. By taking part in this event you grant the event organizers full rights to use the images resulting from the photography/video filming, and any reproductions or adaptations of the images for publicity and/or marketing purposes. This might include (but is not limited to), the right to use them in their printed and online publicity materials, social media, and press releases
