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Data analytics can divulge trends and metrics that would otherwise be lost in the mass of information.
Item #:
275487578
Data Analytics: Techniques and Applications
Item #:
275487578
€ 132
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Product Details
- Data analytics involves inspecting, transforming and modeling data with the objective of discovering useful information and conclusions. Techniques of data analytics can divulge trends and metrics that would otherwise be lost in the mass of information. This information can then be utilized to optimize processes to increase the overall efficacy of a business or system. Data analysis has multiple facets and approaches, encompassing varied techniques under a diverse range of names, and is used in different business, science, and social science domains. It is a process used for obtaining raw data, and converting it into information. This information is then employed in decision-making processes by the users. Data is collected for the purpose of analysis, hypotheses testing, or to disapprove theories. Data analysis plays a pivotal role in making decisions more scientific and helping businesses operate in a more effective manner. This book elucidates the concepts and innovative models around prospective developments with respect to data analytics. Most of the topics introduced herein cover new techniques and the applications of this field. Those with an interest in data analytics will find this book helpful.
| Publisher | States Academic Press |
| Publication date | September 27, 2022 |
| Language | English |
| Print length | 238 pages |
| ISBN-10 | 1639891455 |
| ISBN-13 | 978-1639891450 |
| Item Weight | 1.74 pounds (790 grams) |
| Dimensions | 8 x 0.56 x 10.88 inches (20.3 x 1.4 x 27.6 cm) |
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Data Analytics: Techniques and Applications
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Features & Benefits
- Explore various techniques and applications of data analytics.
- Uncover trends and metrics hidden within massive datasets.
- Optimize business processes to increase overall efficacy.
- Utilize data analysis for scientific decision-making.
- Learn about innovative models and prospective developments in data analytics.
- Ideal for anyone interested in mastering the field of data analytics.
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