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Advanced Python Course
Gattako obukugu bwo mu Business Intelligence n'Eby'enkizo mu Python, etegerekeka eri abakugu abeesiga amaanyi ga Python okusalawo ebikwata ku data. Yinga mu predictive modeling nga tukozesa decision trees ne random forests, yiga ebikwata ku customer segmentation nga tukozesa clustering ne RFM analysis, era olongoose obukugu bwo mu data visualization nga tukozesa Matplotlib ne Seaborn. Yiga okuyonja, okuteekateeka, n'okunoonyereza ku data mu bwesimbu, ate era okolole lipooti ezirimu amagezi n'ebiteeso ebituukirika. Wegatte kati okukyusa obukugu bwo mu data n'okukulembeza obuwanguzi mu by'obusuubuzi.
- Yiga predictive modeling: Zimba decision trees era okole random forests.
- Kola customer segmentation: Kozesa clustering ne RFM analysis okufuna amagezi.
- Kola exploratory data analysis: Laga data nga okoseza Matplotlib ne Seaborn.
- Longoose data preprocessing: Gamba ku missing values era olongoose data types mu bwesimbu.
- Kolola lipooti ezirimu amagezi: Londa data era okole ebiteeso ebituukirika.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Gattako obukugu bwo mu Business Intelligence n'Eby'enkizo mu Python, etegerekeka eri abakugu abeesiga amaanyi ga Python okusalawo ebikwata ku data. Yinga mu predictive modeling nga tukozesa decision trees ne random forests, yiga ebikwata ku customer segmentation nga tukozesa clustering ne RFM analysis, era olongoose obukugu bwo mu data visualization nga tukozesa Matplotlib ne Seaborn. Yiga okuyonja, okuteekateeka, n'okunoonyereza ku data mu bwesimbu, ate era okolole lipooti ezirimu amagezi n'ebiteeso ebituukirika. Wegatte kati okukyusa obukugu bwo mu data n'okukulembeza obuwanguzi mu by'obusuubuzi.
Elevify advantages
Develop skills
- Yiga predictive modeling: Zimba decision trees era okole random forests.
- Kola customer segmentation: Kozesa clustering ne RFM analysis okufuna amagezi.
- Kola exploratory data analysis: Laga data nga okoseza Matplotlib ne Seaborn.
- Longoose data preprocessing: Gamba ku missing values era olongoose data types mu bwesimbu.
- Kolola lipooti ezirimu amagezi: Londa data era okole ebiteeso ebituukirika.
Suggested summary
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