From the course: The Data Science of Economics, Banking, and Finance, with Barton Poulson
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Next steps
From the course: The Data Science of Economics, Banking, and Finance, with Barton Poulson
Next steps
- [Instructor] If you've been interested in the things that we've covered in this course, then I can offer a few recommendations on the next steps you can take to deepen your understanding of data science in economics, banking, and finance. The first step is to get some practice with real data. Now maybe you have your own data that would be sufficient for this, or you can download extensive financial records from sources like Yahoo or data.gov. Once you have that data, you're going to want to make sure you develop your software skills. You'll find in our learning library excellent courses on Excel, the statistical programming language R, and the general-purpose programming language Python, which is used extensively in data science. In addition, you'll want to make sure that you have a sound understanding of the principles of statistics and data science, both of which are covered elsewhere in our library. And then finally, take the opportunity to connect with others, either through…
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