Skip to content
Welcome To Our Store.
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Roman's Data Science How to monetize your data - Hardcover

$52.92 USD
$52.92 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fastest Delivery Tomorrow With Vip DealOrder within 1 hr 8 mins.

Instant 10% Discount On HDFC Banks Credit/Debit Cards EMI and CreditCard

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
  • Daily deals
  • Return policy
  • Payment method
  • Help center 24/7

Flight Range: Up to 1,000 meters (3,280 feet)

Maximum Speed: 45 kilometers per hour (28 miles per hour)

For all orders exceeding a value of 100USD shipping is offered for free.

Returns will be accepted for up to 10 days of Customer’s receipt or tracking number on unworn items. You, as a Customer, are obliged to inform us via email before you return the item.

Otherwise, standard shipping charges apply. Check out our delivery Terms & Conditions for more details.

View Product Details
Shopping cart
Product Product subtotal Quantity Price Product subtotal
Roman's Data Science How to monetize your data - Hardcover
Roman's Data Science How to monetize your data - Hardcover
Roman's Data Science How to monetize your data - Hardcover
$52.92/ea
$0.00
$52.92/ea $0.00

Product Description

by Roman Zykov (Author), Alexander Alexandrov (Translator), Philip Taylor (Editor)

An introduction to the field of data analysis written in jargon-free language that is not bogged down by programming code and mathematical formulas. It covers the most essential topics in the fields of data science, machine learning and business intelligence that you are likely to come across on a regular basis.

The main goal is to help readers get the most out of their data, make business decisions and create information products - all without paying over the odds.

In a career spanning over 20 years, the author has worked as a junior data analyst, headed up the analytics division of an $10-billion company and co-founded a recommendation systems startup. The text was edited by a professional journalist. It contains QR codes and links with links you can follow if you want a deeper understanding of the topics covered.

Number of Pages: 304
Dimensions: 0.69 x 9 x 6 IN
Publication Date: December 01, 2021
you might like