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Cheminformatics Course
Manolofatsa thata ya data mo khemistiring ka Khoso ya rona ya Cheminformatics. E diretswe bomankge ba khemistiri, khoso e e naya tsereganyo e e tletseng mo go tlhopheng mefuta ya machine learning, thupelo, le tekolo. Ithute go kokoanya data, go e laola, le mekgwa ya go e baakanya, go netefatsa boleng jwa data le bothokgami. Ithute go buisanya diphitlhelelo tsa saense ka bokgabane le go tlhaloganya maduo a a thata. Tokafatsa bokgoni jwa gago ka diteng tse di mosola, tsa boleng jo bo kwa godimo tse di diretsweng tiriso mo lefatsheng la mmatota. Tsaya karolo jaanong go godisa botsipa jwa gago mo cheminformatics.
- Itseng go tlhopha mefuta: Tlhopha mefuta e e siameng ya machine learning ya data ya khemistiri.
- Tokafatsa bothokgami jwa data: Netefatsa di-dataset tsa cheminformatics tse di boleng bo kwa godimo, tse di ka ikanngwang.
- Fetola data ka bokgabane: Ntlafatsa, baakanya, mme o tsenye data ya dikhemikale ka botswerere.
- Buisanya diphitlhelelo: Dira dipego tsa saense le ditshwantsho tse di bonalang sentle, tse di nang le mosola.
- Sekaseka maduo: Tlhaloganya dipoelo tsa mofuta le go lemoga dipaterone tsa data ka nepo.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Manolofatsa thata ya data mo khemistiring ka Khoso ya rona ya Cheminformatics. E diretswe bomankge ba khemistiri, khoso e e naya tsereganyo e e tletseng mo go tlhopheng mefuta ya machine learning, thupelo, le tekolo. Ithute go kokoanya data, go e laola, le mekgwa ya go e baakanya, go netefatsa boleng jwa data le bothokgami. Ithute go buisanya diphitlhelelo tsa saense ka bokgabane le go tlhaloganya maduo a a thata. Tokafatsa bokgoni jwa gago ka diteng tse di mosola, tsa boleng jo bo kwa godimo tse di diretsweng tiriso mo lefatsheng la mmatota. Tsaya karolo jaanong go godisa botsipa jwa gago mo cheminformatics.
Elevify advantages
Develop skills
- Itseng go tlhopha mefuta: Tlhopha mefuta e e siameng ya machine learning ya data ya khemistiri.
- Tokafatsa bothokgami jwa data: Netefatsa di-dataset tsa cheminformatics tse di boleng bo kwa godimo, tse di ka ikanngwang.
- Fetola data ka bokgabane: Ntlafatsa, baakanya, mme o tsenye data ya dikhemikale ka botswerere.
- Buisanya diphitlhelelo: Dira dipego tsa saense le ditshwantsho tse di bonalang sentle, tse di nang le mosola.
- Sekaseka maduo: Tlhaloganya dipoelo tsa mofuta le go lemoga dipaterone tsa data ka nepo.
Suggested summary
Before starting, you can change the chapters and the 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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