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Data science for dummies /
This is the perfect starting point for IT professionals and students interested in making sense of their organization's massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and softwar...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley and Sons, Inc.,
[2015]
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| Colección: | --For dummies.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Part I, Getting started with data science: Wrapping your head around data science
- Exploring data engineering pipelines and infrastructure
- Applying data science to business and industry
- Part II, Using data science to extract meaning from your data: Introducing probability and statistics
- Clustering and classification
- Clustering and classification with nearest neighbor algorithms
- Mathematical modeling in data science
- Modeling spatial data with statistics
- Part III, Creating data visualizations that clearly communicate: Following the principles of data visualization design
- Using d3.js for data visualization
- Web-based applications for visualization design
- Exploring best practices in dashboard design
- Making maps from spatial data
- Part IV, Computing for data science: Using python for data science
- Using open source R for data science
- Using SQL in data science
- Software applications for data science
- Part V, Applying domain expertise to solve real-world problems: Using data science in journalism
- Delving into environmental data science
- Data science for driving growth in e-commerce
- Using data science to describe and predict criminal activity
- Part VI, The part of tens: Ten phenomenal resources for open data
- Ten (or so) free data science tools and applications.