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Statistics Course For Data Science
Fungua uwezo wa data na Statistics Course yetu ya Data Science, iliyoundwa kwa ajili ya wataalamu wa Business Intelligence. Ingia ndani kabisa ya upimaji wa nadharia, elewa kikamilifu p-values, t-tests, na ANOVA. Boresha ujuzi wako wa utoaji ripoti kwa mawasiliano wazi na maarifa yanayoweza kutekelezwa. Chunguza uchambuzi wa regression, ikijumuisha model fit na mbinu za multivariable. Imarisha ujuzi wako wa usafishaji na uandaaji data, na ufaulu katika uchambuzi wa data ya mauzo na segmentation ya wateja na utambuzi wa mienendo. Inua taswira yako ya data na histograms, bar charts, na line graphs zenye ufanisi. Jiunge sasa ili ubadilishe utaalamu wako wa data!
- Elewa kikamilifu upimaji wa nadharia: Changanua data na p-values, t-tests, na ANOVA.
- Tengeneza ripoti zilizo wazi: Wasilisha maarifa kwa usahihi na uwazi.
- Faulu katika regression: Tekeleza linear na multivariable models kwa ufanisi.
- Safisha na uandae data: Hakikisha usahihi na transformation na validation.
- Taswira data: Unda chati na grafu zenye athari kwa maarifa bora.
from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Fungua uwezo wa data na Statistics Course yetu ya Data Science, iliyoundwa kwa ajili ya wataalamu wa Business Intelligence. Ingia ndani kabisa ya upimaji wa nadharia, elewa kikamilifu p-values, t-tests, na ANOVA. Boresha ujuzi wako wa utoaji ripoti kwa mawasiliano wazi na maarifa yanayoweza kutekelezwa. Chunguza uchambuzi wa regression, ikijumuisha model fit na mbinu za multivariable. Imarisha ujuzi wako wa usafishaji na uandaaji data, na ufaulu katika uchambuzi wa data ya mauzo na segmentation ya wateja na utambuzi wa mienendo. Inua taswira yako ya data na histograms, bar charts, na line graphs zenye ufanisi. Jiunge sasa ili ubadilishe utaalamu wako wa data!
Elevify advantages
Develop skills
- Elewa kikamilifu upimaji wa nadharia: Changanua data na p-values, t-tests, na ANOVA.
- Tengeneza ripoti zilizo wazi: Wasilisha maarifa kwa usahihi na uwazi.
- Faulu katika regression: Tekeleza linear na multivariable models kwa ufanisi.
- Safisha na uandae data: Hakikisha usahihi na transformation na validation.
- Taswira data: Unda chati na grafu zenye athari kwa maarifa bora.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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