Book contents
- Frontmatter
- Dedication
- Contents
- Figures
- Tables
- Boxes
- Preface
- 1 What is Data Science?
- 2 Little Data, Big Data
- 3 The Process of Data Science
- 4 Tools for Data Analysis
- 5 Clustering and Social Network Analysis
- 6 Predictions and Forecasts
- 7 Text Analysis and Mining
- 8 The Future of Data Science and Information Professionals
- References
- Appendix – Programming Concepts for Data Science
- Index
Book contents
- Frontmatter
- Dedication
- Contents
- Figures
- Tables
- Boxes
- Preface
- 1 What is Data Science?
- 2 Little Data, Big Data
- 3 The Process of Data Science
- 4 Tools for Data Analysis
- 5 Clustering and Social Network Analysis
- 6 Predictions and Forecasts
- 7 Text Analysis and Mining
- 8 The Future of Data Science and Information Professionals
- References
- Appendix – Programming Concepts for Data Science
- Index
- Type
- Chapter
- Information
- Practical Data Science for Information Professionals , pp. i - ivPublisher: FacetPrint publication year: 2020