Description
- ISBN-13: 9789384502942
- Publisher: AGRI BIOVET PRESS
- Binding: Hardcover
- Language: English
- ISBN-10: 9384502944
- Publisher Date: 01 Jan 2020
- Height: 20 mm
- Width: 190 mm
Availability: In Stock
Dss and analytical tools for quantitative data
SKU: 9789384502942
Original price was: ₹1,995.00.₹1,137.00Current price is: ₹1,137.00.
Unlock data-driven insights with “DSS and Analytical Tools for Quantitative Data” by Verma, K (ISBN: 9789384502942). This essential guide explores decision support systems and analytical tools for quantitative data analysis. From statistical methods to data mining techniques, learn to interpret complex datasets and make informed decisions. Perfect for students, researchers, and professionals seeking practical data analysis skills.
5 in stock
Description
Additional information
Additional information
| Weight | 0.5 kg |
|---|
Reviews (13)
13 reviews for Dss and analytical tools for quantitative data
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Rahul Choudhary –
Excellent book! Clear explanations and relevant examples. I was able to apply the concepts immediately to my work.
Lohit Dayma –
The book covers a wide range of topics, but some are not explored in sufficient detail. It feels like a survey, but the concepts are helpful.
Abhidev Pandey –
I was hoping for more advanced techniques. This book is more suitable for those new to data analysis. Okay-ish for the price.
Ashish Chahar –
A good overview, though some chapters were a bit too theoretical. Needs more real world implementation examples. Recommended for students.
Bhavana Dubey –
A helpful overview of DSS. Some sections were a bit dense, but overall a good resource for understanding data analysis techniques. It has some basic knowledge for freshers.
Taruna Satija –
Concise and informative. A great addition to my library. The price is bit high.
Reetish Mohan Panigrahy –
I found this book very insightful and easy to follow. Great resource for anyone working with quantitative data.
Shreshth Dhuria –
Good for beginners, but lacks depth for experienced analysts. Still, a useful reference to have on hand.
Devanshu –
Excellent resource for understanding data analysis! The author did an amazing job explaining each concept and it is easily understandable.
Shubham Raj –
Helpful for getting started, but I needed to seek additional resources for more in-depth understanding. Decent starting point though.
Yashwant Kumar Gurjar –
Comprehensive guide with a lot of useful information. Formatting could be improved for easier reading. Recommended for students in the field.
Nishi Maurya –
A well-written book that provides a solid foundation in DSS and analytical tools. Worth the investment.
Prashant Thakur –
Solid introduction to analytical tools. Examples could be more practical, but the theory is well-explained. Its good to understand DSS tools for quatitative data.