000 | 01606nam a22002057a 4500 | ||
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999 |
_c3863 _d3863 |
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005 | 20221122120653.0 | ||
008 | 221122b ||||| |||| 00| 0 eng d | ||
020 | _a9781484267134 | ||
082 |
_a004.165 _bWAD |
||
100 |
_aWade, Ryan _99084 |
||
245 |
_aAdvanced analytics in power BI with R and python: _bingesting, transforming, visualizing |
||
260 |
_bApressĀ _aNew York _c2020 |
||
300 | _axlvi, 391 p. | ||
365 |
_aINR _b1499.00 |
||
520 | _aAbout this book 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. 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 |
_aBig data _9212 |
||
650 |
_aPython (Computer program language) _910207 |
||
650 |
_aR (Computer program language) _91512 |
||
942 |
_2ddc _cBK |