From the course: A Day In The Life of a Data Scientist
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Using open-source tools
From the course: A Day In The Life of a Data Scientist
Using open-source tools
- The tools I use most often are Python and specifically the Pandas library within Python, and my favorite tool to write code and test code in is the Jupiter Notebook. I find that really useful when I'm looking at data sets that need to be cleaned and testing out different cleaning methods and transformation methods. For data visualization, I like to use R for certain aspects of it. Most often I use Tableau because it allows for user interaction and so that becomes really important when I'm trying to provide information to school leaders or teachers or other stakeholders of the organization. One of the great things about Python and R and Pandas and Jupiter Notebook is they're all open source, so you can learn them. There's tons of information online about how to use the language, how to code, and you can use it all for free. Open source programs or languages are really great because the community works on the…
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