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Python for Data Science

by on Oct 19, 2011

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The amount of data available to us is growing rapidly, but what is required to make useful conclusions out of it? ...

The amount of data available to us is growing rapidly, but what is required to make useful conclusions out of it?

Outline
1. Different tactics to gather your data
2. Cleansing, scrubbing, correcting your data
3. Running analysis for your data
4. Bring your data to live with visualizations
5. Publishing your data for rest of us as linked open data

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  • jeremyljng jing Li tags python data analysis 9 months ago
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Python for Data Science Python for Data Science Presentation Transcript