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Python for Data Science

at General Assembly - Downtown

(2460)
Course Details
Price:
$175 8 seats
Start Date:

Sat, Mar 28, 10:00am - 4:00pm

Location:
Downtown
125 Summer St 13th Fl
Btwn Lincoln St & Fitzgerald Surface Rd
Boston, Massachusetts 02110
(Map)
Book at Office/Home
Important:
A computer will not be provided.
Purchase Options
Description
Class Level: All levels
Age Requirements: 18 and older
Average Class Size: 20

What you'll learn in this python class:

Python is a versatile and widely-used programming language with many applications. This workshop explores Python's place in the scientific ecosystem, and how the language, with several readily-available open-source libraries, can serve as a powerful tool for data analysis. 

Designed as a stand-alone introduction to the data science aspects of Python, this class is also a recommended preparatory workshop for students planning to enroll in General Assembly's Data Science course.

By the end of the workshop, students will be able to:

  • Use pandas to perform data analysis
  • Use matplotlib to make visualizations of the data
  • Sci-kit learn to generate a statistical model of the data

Takeaways

  • Ability to use Python for basic data analysis tasks (data cleaning and reformatting, exploration, analysis)
  • Understanding of Python’s role as a tool in the backend and analysis toolkits
  • Understanding of the possibilities opened up through a better understanding of Python
  • Greater preparedness for GA's Data Science course

Prereqs & Preparation

  • Students must have taken Intro to Python Bootcamp or have equivalent foundational knowledge. Note, we will NOT be going through introductory Python. Here is an example exercise you should be able to do before taking this class: Write a function that prints all of the numbers between 1 and 10,000 that are either divisible by 7 or 33 but not both.
  • Please bring a laptop with Anaconda installed.
  • Anaconda Installation Instructions:
  • Visit https://www.anaconda.com/download/ Download the latest 3.x version. When the download is complete, run the installer.
School Notes:
For students enrolling in 12 week part time and immersive classes, it is not recommended that you book more than one class simultaneously.

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Refund Policy
If you can't make it to a class/workshop, please email us at [email protected] at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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Start Dates (1)
Start Date Time Teacher # Sessions Price
10:00am - 4:00pm Vivek Haligeri Veerana 1 $175

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