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portada Python for Data & Analytics: A Business-Oriented Approach
Type
Physical Book
Publisher
Author
Language
English
Pages
450
Format
Paperback
Dimensions
25.4 x 20.3 x 2.3 cm
ISBN13
9781943153992

Python for Data & Analytics: A Business-Oriented Approach

Groner, Daniel H. (Author) · Prospect Press · Paperback

Python for Data & Analytics: A Business-Oriented Approach - Groner, Daniel H.

New Book Imported to Taiwan
Delivery: 07 Sep - 15 Sep Shipping: 5 to 6 business days.
NT$ 4,195
NT$ 4,195

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Synopsis "Python for Data & Analytics: A Business-Oriented Approach"

*** An eTextbook version is available at VitalSource.com for $57.85 USD. ISBN is 978-1-943153-98-5. ***Python for Data & Analytics introduces essential programming concepts using Python, pandas, and other packages for the purpose of accessing data and performing analyses, and developing applications. The presentation presumes no prior programming experience. It is designed for introductory and more advanced programming courses in a data analytics, information systems, or business program. To this end, business examples are emphasized throughout. Various topics often covered in a computer-science-oriented course are purposefully not included in this textbook including topics like recursion and sorting algorithms. FEATURES: Impart data analytics skillsExplore programming to access, prepare, analyze, and present data.Explore the power and convenience of Python notebooksTraditional introductions teach computer programming primarily as a sequence of statements called programs. Today, Python is still used in programs but it is also used for interactive data analysis and in a hybrid technique called a notebook. This text introduces all three approaches.Jumpstart learning with spreadsheet analogiesAs appropriate, analogies are presented relating Python concepts to spreadsheets to leverage students' prior knowledge. Animate learningKey programs are animated and narrated using "CodeInMotion" videos that reveal the "living and breathing" dynamics of code. Cement understandingIn-class exercises assure that students can apply each successive concept.Prepare students for businessHighly-relevant examples are drawn from finance, logistics, marketing, accounting, health, and other functional areas. They are real (or realistic), not too complex, and explained in detail.

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