| 000 | 01150nam a2200193 4500 | ||
|---|---|---|---|
| 005 | 20251028121119.0 | ||
| 008 | 251028b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781529684162 | ||
| 037 | _cTextual | ||
| 040 |
_aRTL _cRTL |
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| 084 | _qRTL | ||
| 100 |
_aYildirim, Gokhan _9849679 |
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| 245 | _aApplied marketing analysis using python | ||
| 260 |
_aNew Delhi _bSage _c2025 |
||
| 300 |
_axvi, 366 p. _bIncludes bibliographical reference and index |
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| 520 | _aIt is vital for marketers today to be comfortable in their use of data and quantitative approaches and have a thorough grounding in understanding and using marketing analytics in order to gain insights, support strategic decision-making, solve marketing problems, maximise value and achieve success. Taking a very hands-on approach with the use of real-world datasets, case studies and Python, this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools, with a balanced mix of technical coverage alongside marketing theory and frameworks. | ||
| 700 |
_aKubler, Raoul _eCo-author _9849680 |
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| 942 |
_2CC _n0 _cTEXL |
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| 999 |
_c1465080 _d1465080 |
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