Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners Hardback - 2020
by Herbert Jones
- New
- Hardback
A$57.36
A$19.20
Delivery to USA
Standard delivery: 14 to 21 days
More delivery options
Standard delivery: 14 to 21 days
Details
- Title Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
- Author Herbert Jones
- Binding Hardback
- Condition New
- Pages 134
- Volumes 1
- Language ENG
- Publisher Bravex Publications
- Publication date 2020-01-10
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # B9781647483043
- ISBN 9781647483043 / 1647483042
- Weight 1.14 lbs (0.52 kg)
- Dimensions 10 x 8 x 0.38 in (25.40 x 20.32 x 0.97 cm)
- Category Computers - Data Base Management
- Quantity available 10
About The Saint Bookstore Merseyside, United Kingdom
Biblio member since 2018
The Saint Bookstore specialises in hard to find titles & also offers delivery worldwide for reasonable rates.
Reader reviews for Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information