***It is no longer possible to register for this webinar but you can watch it on-demand here***
***Participants are strongly encouraged to download the needed data from the following Github repo and SET UP THE ENVIRONMENT PRIOR TO THE START OF THE WEBINAR***: https://github.com/cloudacademy/ca-pandas-webinars
Are you interested in gaining key insights in data management and manipulation using Python and Pandas? Then you’re in the right place!
In this five-part series, our Data Scientist Andrea Giussani will guide you through the world of data, tackling a different aspect in each episode. This fourth episode will dive into how to deal with time series data with Pandas. Join us to learn more about the pct_change, diff, windows, and rolling methods. This session is going to be amazing! If you are enjoying the series, sign up for episode number four.
Don’t miss out — sign up now to learn how to Pandas like a boss!
Participants are strongly encouraged to download the needed data from the following Github repo. Make sure to star our GitHub repo if you are finding it useful and practical for the attendance of the webinar.
You can follow along with the webinar by using either your favorite local Python or Google Colab environment. For more details, please check the readme on the aforementioned Github repo. If you missed the previous episodes, you can view them here:
– Episode n1
– Episode n2
– Episode n3
Don’t miss this webinar on April 14 at 9 a.m. PT | 12 p.m. ET | 6 p.m. CET.
– All registrants will receive the recording of the webinar via email
Andrea Giussani, Data Scientist at Cloud Academy
With a Ph.D. in Statistics, Andrea is a full-time Data Scientist at Cloud Academy. On top of his day to day job, he is also an Academic Fellow in Computer Science at Bocconi University in Milan. He is also a published author, check out his bestseller Applied Machine Learning with Python.