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Python for Data Science
When:
Saturday, Sep 16, 2017 10:00a -
3:00p
Where:
GA Boston
125 Summer St 13th Floor
Boston, MA 02110
Admission:
$180
Categories:
Business, Tech
Event website:
https://generalassemb.ly/education/python-for-data-science-2bf903ff-147f-4f7b-85e6-cb6b0b623a08/boston/36417
About This Workshop:
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
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