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“Getting a data science job would have been much harder without Dataquest. It’s a great product. I recommend it to anyone who asks me about how to get started.”
In our Parallel Processing course, you’ll learn how to improve the performance of your code by processing data in parallel rather that iterating through rows sequentially.
You’ll learn how to start multiple processes and run functions on multiple processes at the same time, as well as share data between multiple processes. You’ll learn how use a process pool executor, practicing all of these skills as you dig into some data about the demand for data engineering jobs.
Then you’ll learn about MapReduce. You’ll learn how to use process pools, how to actually implement MapReduce, and how to effectively process data with it.
At the end of the course, you’ll complete a project using your new skills that challenges you to dig into data from Wikipedia pages and analyze them quickly and efficiently using MapReduce.
In this parallel processing course, you will:
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Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our course, you'll master data skills and grow your career.
We believe so strongly in our courses that we offer a full satisfaction guarantee. If you complete a career course on Dataquest and aren't satisfied with your outcome, we'll give you a refund.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Impress employers by completing a capstone project and certifying it with an expert review.
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