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Advanced Python Course
Simudzira hunyanzvi hwako hweBusiness Intelligence ne Advanced Python Course yedu, yakagadzirirwa nyanzvi dzinoshuvira kushandisa simba rePython mukutora zvisarudzo zvine data. Dzika mukati mekufembera (predictive modeling) nemiti yezvisarudzo (decision trees) nemasango asina kurongeka (random forests), nyatso gadzira migove yevatengi (customer segmentation) kuburikidza ne clustering ne RFM analysis, uwedzere kuonekwa kwedata rako (data visualization) neMatplotlib neSeaborn. Dzidza kuchenesa, kugadzirira, uye kuongorora data nemazvo, uchigadzira mishumo inonzwisisika ne mazano anokwanisika kuitwa. Joinha ikozvino kuti ushandure hunyanzvi hwako hwedata uye uwedzere budiriro yebhizinesi.
- Nyatsoziva predictive modeling: Vaka miti yezvisarudzo (decision trees) woita masango asina kurongeka (random forests).
- Ita customer segmentation: Shandisa clustering uye RFM analysis kuti uwane nzwisiso.
- Ita exploratory data analysis: Wona data neMatplotlib neSeaborn.
- Wedzera kugadzirira data (data preprocessing): Bata kukosha kuri kurasika (missing values) uye ururamise mhando dzedata (data types) nemazvo.
- Gadzira mishumo inonzwisisika: Pfupikisa data uye ugadzire mazano anokwanisika kuitwa.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Simudzira hunyanzvi hwako hweBusiness Intelligence ne Advanced Python Course yedu, yakagadzirirwa nyanzvi dzinoshuvira kushandisa simba rePython mukutora zvisarudzo zvine data. Dzika mukati mekufembera (predictive modeling) nemiti yezvisarudzo (decision trees) nemasango asina kurongeka (random forests), nyatso gadzira migove yevatengi (customer segmentation) kuburikidza ne clustering ne RFM analysis, uwedzere kuonekwa kwedata rako (data visualization) neMatplotlib neSeaborn. Dzidza kuchenesa, kugadzirira, uye kuongorora data nemazvo, uchigadzira mishumo inonzwisisika ne mazano anokwanisika kuitwa. Joinha ikozvino kuti ushandure hunyanzvi hwako hwedata uye uwedzere budiriro yebhizinesi.
Elevify advantages
Develop skills
- Nyatsoziva predictive modeling: Vaka miti yezvisarudzo (decision trees) woita masango asina kurongeka (random forests).
- Ita customer segmentation: Shandisa clustering uye RFM analysis kuti uwane nzwisiso.
- Ita exploratory data analysis: Wona data neMatplotlib neSeaborn.
- Wedzera kugadzirira data (data preprocessing): Bata kukosha kuri kurasika (missing values) uye ururamise mhando dzedata (data types) nemazvo.
- Gadzira mishumo inonzwisisika: Pfupikisa data uye ugadzire mazano anokwanisika kuitwa.
Suggested summary
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