Data Science Jumpstart with 10 Projects Transcripts
Chapter: Course Conclusion
Lecture: Conclusion
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All right, everyone, this marks the end of our course. We've covered a lot of ground in our Python and pandas and data journey together.
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Let's do a quick retrospective of what we learned. We looked at student data. We explored loading and manipulating student data.
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We looked at income data and how we can mess with that as well. We talked about joining and merging data. We showed how pandas has various tricks
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that we can do to evaluate that. And we also showed how we can do things like stick in pipe to check how we're doing as we're going along our process.
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We looked at doing aggregation, cleaning up data. We've looked at time series processing. We looked at dealing with text data,
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some basic NLP constructs. We even made some machine learning models. We looked at how to make simple dashboards
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and we looked at how to connect with databases. Hope this course has provided you with a skillset to cover a variety of data analysis tasks
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using Python and pandas. Remember, learning doesn't stop here. One of the most important things that you can do to continue learning is to practice.
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My advice to you would be to find data and practice these techniques on your own data. Thanks for being a part of this journey.
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Hope to see you in a future course.