The Tools of Big Data Science

You’ve read about many of the kinds of big data projects that you can use to learn more about your data in our What Can a Data Scientist Do for You? article—now, we’re going to take a look at tools that data scientists use to mine that data: performing statistical techniques like clustering or linear modeling, and then turning them into a story through visualization and reporting. You don’t need to know how to use these yourself, but having a sense of the differences between these tools will help you gauge what tools might be best for your business and what skills to look for in a data scientist. Analytical Tools R: The Most Popular Language for Data Science Once the data scientist has completed the often time-consuming process of “cleaning” and preparing…


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