Teach Yourself Data Analytics in 30 Days: Learn to use Python and Jupyter Notebooks by exploring fun, real-world data projects

Clinton, David

ISBN 10: 1777721008 / ISBN 13: 9781777721008

Edité par Bootstrap IT, 2021

Used book in good and clean conditions. Pages and cover are intact. Limited notes marks and highlighting may be present. May show signs of normal shelf wear and bends on edges. Item may be missing CDs or access codes. May include library marks. Fast Shipping. N° de réf. du vendeur ZWM.LU50

Synopsis :

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 many valuable skills, but sometimes all you need is some quick and direct tools. Welcome to Teach Yourself Data Analytics in 30 Days.
The book's curriculum is organized into 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. Once you've worked through the whole book, you'll have enough Python skills to solve a wide range of data problems on your own.
If you're motivated and have some time to invest, 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, if you prefer, JupyterLab)
• Finding and cleaning data sources
• Plotting your data
• Using Python functions
• Understanding results through domain knowledge and tools like regression lines

Détails bibliographiques

Titre : Teach Yourself Data Analytics in 30 Days: ...
Éditeur : Bootstrap IT
Date d'édition : 2021
Reliure : Couverture souple
Etat : good