Advanced analytics in power BI with R and python: (Record no. 3863)
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000 -LEADER | |
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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 |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | 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 |
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Dewey Decimal Classification | IT & Decisions Sciences | TB1974 | 28-10-2022 | 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 |