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Interactive Data Visualisation with Python

13 November @ 2:00 pm - 3:30 pm AEDT

Event Poster

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Learn some options available for doing data visualization in Python.

See how you can use Python, Jupyter, Pandas, and Plotly, for exploratory data analysis.

Learn how interactive visualisations can speed up your data analysis work.

See an interactive dashboard built with Python for exploring pedestrian traffic patterns.

Join us and get a peek into unveiling patterns and trends in data!

 

Speaker

Ned Letcher
Senior Data Science Engineer @ThoughtWorks
 
Ned is a data science engineer at ThoughtWorks, where he helps organisations navigate and solve challenges along the journey of using data to assist in decision making and to innovate faster. He is also a Python trainer and an active participant in the Australian data community. He speaks at conferences and meetups and organises the Melbourne data visualisation meetup.

 

FAQs

Q. Is it free to join?
A. Yes! Participation is free, but slots are limited, so please register early!

Q. I’m based outside of Australia. 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. Just like our regular She Loves Data #MeetUp events, this online webinar is open to all professional men and women. #HeLovesData too!

Q. Is this an interactive discussion or just a ‘listen-in’ webinar?
A. Definitely interactive! Your thoughts, feedback, and questions are most welcome and will be entertained during the polling and live Q&A portions at the end of the discussion.

Q. What if something comes up and I need to retract my registration?
A. Please be considerate and let us know if you won’t be able to attend the online meetup a day in advance, so we can offer your place to somebody else.

Contact us and we’ll help you.The email you need is melbourne@shelovesdata.com


 
 

 

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Details

Date:
13 November
Time:
2:00 pm - 3:30 pm AEDT
Event Category:
Event Tags:

Venue

Online

Organizer

She Loves Data
Email:
info@shelovesdata.com
Website:
www.shelovesdata.com