Python for Teens 7
Python for Teens 7
Python for Teens 7 is a step up from Python for Teens 6, the students will now be taught how to use the Pandas Library to help the students explore the world of Data Science through Web Scraping, and the Data Science Process; learning how to gather, clean, explore, visualize, and analyze their own data to convey a meaningful story.
Duration: 10 Hours, 5 Sessions
Terms and Conditions
To ensure a slot in your selected class, FULL PAYMENT is required at the time of registration. Two (2) weeks withdrawal notice is required for a refund which will have a processing fee deduction of 10%. If a request for a refund is made within 2 weeks to 48 hours before the class starts, you are entitled to a 50% refund. There will be no refunds or school credits issued on cancellations less than 48 hours notice from the class start date.
MAKE-UP CLASS POLICY
Make-up classes are available on a limited basis and must be arranged 24 hours before the class, with TCS’s Learning Manager. Only a maximum of one (1) make-up class under a specific program can be arranged. All make-up classes are subject to availability. Missed make-ups cannot be rescheduled.
The Coding School, Inc. reserves the right to photograph, videotape or record classes, courses or events at or in connection with the School.
I agree and authorize The Coding School, Inc. to photograph, videotape and to use, reproduce, and modify such materials for promotional and/or commercial purposes in any media without any compensation or remuneration.
I hereby release and waive The Coding School, Inc. from any claims regarding the photographs and videos, including but not limited to, infringement of the rights of privacy and publicity. I represent and warrant that I have the legal right to grant this release.
Want a Private Session?
Private Class Package
Have your own dedicated coach for your chosen class at your own schedule. Upon purchasing the private class package, we will contact you for your preferred schedule and start date.View full details