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Thinkful Webinar | Data Science Fundamentals: The Pandas Library

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Jan 30

Thinkful Webinar | Data Science Fundamentals: The Pandas Library

Anyone interested in Data Science will need to know how to prepare data for modeling. If you're working in Python, that means you’ll need the Pandas package: one of the most important tools for data pros.

By Thinkful Webinars

When and where

Date and time

Saturday, January 30, 2021 · 10 - 11:30am PST

Location

Online

About this event

In this interactive workshop, you will learn the basics of working with the Pandas Data Frame structure, including how to clean and process your data so you're ready to make some predictions.

What you will learn:

  • How to use Python's Pandas library
  • How to use Pandas DataFrames
  • How to solve data wrangling problems with Pandas
  • And so much more...

How to join us: Once you register with Eventbrite, you will receive an email with the links to the live webinar from BigMarker. If you do not receive your link, please email virtual@thinkful.com.

Sponsored by Thinkful:

Thinkful is a tech bootcamp equipping people with the education and network to launch new careers and take their place in the world’s next workforce. Every course comes with a personal mentor who’s experienced in the field, as well as career coaches and an academic success manager. To find out more schedule a call HERE

Tags

  • Online Events
  • Online Classes
  • Online Science & Tech Classes
  • #technology
  • #bootcamp
  • #coding
  • #careers
  • #data_analytics
  • #data_science
  • #product_management
  • #web_development
  • #uxui_design

About the organizer

Organized by
Thinkful Webinars

Thinkful is a career accelerator equipping people with the education and network to launch new careers and take their place in the world's next workforce. Join us for free workshops, info sessions, tech talks, and happy hours focused on building relevant technical skills and growing your professional network. To join the Thinkful network visit Thinkful.com

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Thinkful Webinar | Data Science Fundamentals: The Pandas Library


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