Mueller, John Paul, author. <br/><br/>
Python for data science for dummies / 
by John Paul Mueller, Luca Massaron. 
 - Second edition. 
 - Hoboken, New Jersey :  John Wiley & Sons,  c2019. 
 - xvi, 467 pages :  illustrations ;  23 cm. 
 - (For dummies) .
<br/><br/>Includes index. 
<br/><br/>Part 1 - Getting stared with data science and python<br/>Part 2 - Getting your hands dirty with data<br/>Part 3 - Visualizing information<br/>Part 4 - Wrangling data<br/>Part 5 - Learning from data<br/>Part 6 - The part of tens 
<br/><br/> Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.  
<br/><br/><br/>In English Text. 
<br/><br/><label>ISBN: </label>9781119547624 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Python (Computer program language).<br/>Computer programming.
<br/><br/><label>LC Class. No.: </label>QA 76.76  / M84 2019