Python for Data Science (Intermediate)
19

Monday, 19 December

6:30 9:30 pm EST

GA D.C., 1776

1133 15th Street NW, 8th Floor
Washington , D.C. 20005
$65 USD
Regular Ticket
$65 USD
Total

Questions? Read our FAQs

Python for Data Science (Intermediate)

Sunggyun Kim Photo


Data Scientist and Full Stack Developer , Booz Allen Hamilton

19

Monday, 19 December

6:30 9:30 pm EST

GA D.C., 1776

1133 15th Street NW, 8th Floor
Washington , D.C. 20005
$65 USD
Regular Ticket
$65 USD
Total

Questions? Read our FAQs

About This Workshop

Python is an excellent programming language for data science, due to its rich set of data structures, the maturity of its data-focused libraries, and its ability to execute all aspects of the data science pipeline. This workshop will lay the foundation for data science in Python by exploring its data structures and data manipulation capabilities, as well as giving you a better understanding of the Python environment. This class is also a recommended preparatory workshop for students planning to enroll in General Assembly's Data Science course.

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

  • Ability to use Python for basic data manipulation tasks (reading and writing files, cleaning and reformatting data, and calculating simple summaries)
  • Understanding of Python's data structures and control flow
  • Experience finding public datasets online and getting them into Python
  • Greater familiarity with the different Python environments, including Spyder and the IPython Notebook
  • Greater preparedness for General Assembly's Data Science course

About the Instructor

Sunggyun Kim Photo

Data Scientist and Full Stack Developer ,
Booz Allen Hamilton

Sung is a full stack developer (Python, Ruby, JavaScript) and data scientist (Python via PANDAs, SciPy, NumPy, NLTK, Scikit-Learn). With a background in behavioral economics and clinical psychology, he enjoys building data driven web apps to solve real world problems.

Refund Policy

Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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