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Practical Data Science With R

200,000₫

Youll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

✪ Miễn phí GIAO HÀNG đơn hàng từ 399.000đ
✪ Giao hàng COD toàn quốc nhanh chóng từ 2 - 4 ngày
✪ Giao hàng HOẢ TỐC trong nội thành Hà Nội
✪ Hỗ trợ xuất hóa đơn VAT theo yêu cầu

Mã sản phẩm: STA768
Danh mục: Sách IT
Tình trạng: Còn hàng

Mô tả

Practical Data Science with R ( sách gia công, bìa mềm )

Practical Data Science With R

Thể loại:Computers - Computer Science

Năm:2014

In lần thứ:1

sNgôn ngữ:English

Trang:568

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases youll face as you collect, curate, and analyze the data crucial to the success of your business. Youll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.

About the Book

Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics.

Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels.

This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.

Whats Inside

Data science for the business professional

Statistical analysis using the R language

Project lifecycle, from planning to delivery

Numerous instantly familiar use cases

Keys to effective data presentations