[{"_1":2,"_46":-5,"_47":-5},"loaderData",{"_3":4,"_14":15,"_44":-5,"_45":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9,"_10":11},"user","shoppingCartId","toast","locale","en","constants",{"_12":13},"paypalClientId","AenrHU49peF-ZUH-Yq7AXLLNZYGUGlml474U16NCjB4ZznmQCEjiliN3whyuVZmkb7VxEzmTALgtKEKE","routes/_store+/_readers+/email_author.$slug/route",{"_16":17,"_43":-5},"book",{"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":29},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNDUwMzA","title","Teach Yourself Data Analytics in 30 Days","state","published","contactAuthorMethod","email","aboutText","

Would you like to learn how to extract useful insights from all the data around you without having to take years' worth of courses? College data science programs teach valuable skills, but sometimes all you need is access to some quick and direct tools. Welcome to Teach Yourself Data Analytics in 30 Days.

The book's curriculum is organized by eight data \"stories.\" The stories are interesting on their own. But there's no doubt what they're really all about is Python data analytics. Each story/chapter contains all the information you would need to go out and get the raw data and then write the Python analytics code necessary to solve a specific problem. Or, in other words, each chapter teaches new Python skills.

If you're motivated and have a bit of available time, there's no reason you can't use those stories to teach yourself data analytics in 30 days. You'll find everything you need to build your own basic data analytics skills, including:

* Getting Python up and running on Jupyter Notebooks (or JupyterLab, if you prefer)

* Finding and cleaning data sources

* Plotting your data

* Understanding results through domain knowledge and tools like regression lines

* Python functions

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