From the course: R for Data Science: Analysis and Visualization

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From the course: R for Data Science: Analysis and Visualization

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Next steps

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- [Barton] So we've come all the way through this introductory course on learning R. I like to think it's like your suitcase is now packed and you're ready to go on an adventure. So where should you go next? A few possibilities that might be especially useful for you are to explore the other courses that we have available on the principles of data. So data science, data analytics, statistical analysis, any one of those to give you the concepts that you'll be using when you work with a tool like R. Second one is, in case you're not familiar with it, spreadsheets are an extremely important tool. And I suggest that anybody who works with data in any capacity should be able to work comfortably and fluently with spreadsheets, Microsoft Excel, Google Sheets, or some other choice that's used in your organization. Also, it would make sense to take a look at other data science programming languages like Python, being the number one…

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