Bedankt voor het vertrouwen het afgelopen jaar! Om jou te bedanken bieden we GRATIS verzending (in België) aan op alles gedurende de hele maand januari.
- Afhalen na 1 uur in een winkel met voorraad
- Gratis thuislevering in België
- Ruim aanbod met 7 miljoen producten
Bedankt voor het vertrouwen het afgelopen jaar! Om jou te bedanken bieden we GRATIS verzending (in België) aan op alles gedurende de hele maand januari.
- Afhalen na 1 uur in een winkel met voorraad
- Gratis thuislevering in België
- Ruim aanbod met 7 miljoen producten
Omschrijving
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.
This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.
Key Features:
- Applies a modern, computational approach to working with data
- Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues
- Teaches the fundamentals of some of the most important tools in the Python data-science stack
- Provides a basic, but rigorous, introduction to Probability and its application to Statistics
- Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material
Specificaties
Betrokkenen
- Auteur(s):
- Uitgeverij:
Inhoud
- Aantal bladzijden:
- 464
- Taal:
- Engels
- Reeks:
Eigenschappen
- Productcode (EAN):
- 9781032350424
- Verschijningsdatum:
- 22/02/2024
- Uitvoering:
- Paperback
- Formaat:
- Trade paperback (VS)
- Afmetingen:
- 178 mm x 254 mm
- Gewicht:
- 866 g
Alleen bij Standaard Boekhandel
+ 200 punten op je klantenkaart van Standaard Boekhandel
SOLDEN
E-BOOK ACTIE
Beoordelingen
We publiceren alleen reviews die voldoen aan de voorwaarden voor reviews. Bekijk onze voorwaarden voor reviews.