Advanced analytics in power BI with R and python: (Record no. 3863)

MARC details
000 -LEADER
fixed length control field 01606nam a22002057a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221122120653.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221122b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484267134
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004.165
Item number WAD
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wade, Ryan
245 ## - TITLE STATEMENT
Title Advanced analytics in power BI with R and python:
Remainder of title ingesting, transforming, visualizing
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. ApressĀ 
Place of publication, distribution, etc. New York
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent xlvi, 391 p.
365 ## - TRADE PRICE
Price type code INR
Price amount 1499.00
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field of data analytics to your work in Microsoft Power BI. Data analytics expert and author Ryan Wade shows you how to use R and Python to perform tasks that are extremely hard, if not impossible, to do using native Power BI tools. For example, you will learn to score Power BI data using custom data science models and powerful models from Microsoft Cognitive Services.<br/><br/> <br/><br/>The R and Python languages are powerful complements to Power BI. They enable advanced data transformation techniques that are difficult to perform in Power BI in its default configuration but become easier by leveraging the capabilities of R and Python. If you are a business analyst, data analyst, or a data scientist who wants to push Power BI and transform it from being just a business intelligence tool into an advanced data analytics tool, then this is the book to help you do that.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Big data
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type Bill No Bill Date
    Dewey Decimal Classification     IT & Decisions Sciences Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 11/22/2022 Technical Bureau India Pvt. Ltd. 1049.30   004.165 WAD 003708 11/22/2022 1 1499.00 11/22/2022 Book TB1974 28-10-2022

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