| 000 | 01148nam a2200229 4500 | ||
|---|---|---|---|
| 005 | 20250409124441.0 | ||
| 008 | 250409b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781032372624 | ||
| 037 | _cTextual | ||
| 040 |
_aRTL _cRTL |
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| 084 |
_aX:8:(B28) R4 _qRTL |
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| 100 |
_aGarn, Wolfgang _9752004 |
||
| 245 | _aData Analytics for business: AI-ML-PBI-SQL-R | ||
| 260 |
_aLondon _bRoutledge _c2024 |
||
| 300 |
_axii, 270 p. _bIncludes bibliographical references and index |
||
| 520 | _aWe are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. | ||
| 650 | _aEconomics | ||
| 650 | _aFinance | ||
| 650 | _aBusiness | ||
| 650 | _aIndustry | ||
| 942 |
_2CC _n0 _cTB _hX:8:(B28) R4 |
||
| 999 |
_c1308592 _d1308592 |
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