Data analytics : systems engineering, cybersecurity, project management /
Data analytics is creeping into the lexicon of our daily language. This book gives the reader a perspective as to the overall data analytics skill set, starting with a primer on statistics, and works toward the application of those methods. There are a variety of formulas and algorithms used in the...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Dulles, Virginia :
Mercury Learning & Information,
[2021]
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction to Statistics for Data Analysts
- 2 What is Data ?
- 3 Statistics Review
- Measures of the Central Tendency
- 4 Probability Primer
- 5 Occam's Razor and Data Analytics
- 6 Data Analysis Tools
- 7 Effect Size
- 8 Analysis Process Methods
- 9 Data Analytics Thinking
- 10 Where's the Data ?
- 11 Data Presentation
- 12 Geospatial Data Analytics
- 13 Additional Data Analytics Methods
- 14 Summary
- 15 Case Studies
- APPENDIX. RECOMMENDED SOLUTIONS FOR CASE STUDIES
- References
- Index