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Big Data Machine Learning Course
- Tsamaya le bothata jwa data ka Koso ya rona ya Big Data Machine Learning, e diretswe batho ba ba dirang ka thekenoloji ba ba tlhagafaletseng go gaisa botlhe. Ithute ka go kgobokanya data, go e phepafatsa, le go e boloka, itse go tokafatsa modiri o o dirisiwang ka mokgwa wa Bayesian, mme o ithute ka hyperparameter tuning. Ithute go tsenya dirisiwa tsa machine learning tse di ka dirisiwang go le kalo-ka-kalo, go dira ka data ya nako yotlhe, le go e kopanya le dirisiwa tse dingwe tse di setseng di le teng. Nna le bokgoni mo Hadoop, Spark, le ditsamaiso tsa go rotloetsa, fa o ntse o oketsa bokgoni jwa gago mo exploratory data analysis le anomaly detection. Tsena jaanong go fetola tiro ya gago.
Tsamaya le bothata jwa data ka Koso ya rona ya Big Data Machine Learning, e diretswe batho ba ba dirang ka thekenoloji ba ba tlhagafaletseng go gaisa botlhe. Ithute ka go kgobokanya data, go e phepafatsa, le go e boloka, itse go tokafatsa modiri o o dirisiwang ka mokgwa wa Bayesian, mme o ithute ka hyperparameter tuning. Ithute go tsenya dirisiwa tsa machine learning tse di ka dirisiwang go le kalo-ka-kalo, go dira ka data ya nako yotlhe, le go e kopanya le dirisiwa tse dingwe tse di setseng di le teng. Nna le bokgoni mo Hadoop, Spark, le ditsamaiso tsa go rotloetsa, fa o ntse o oketsa bokgoni jwa gago mo exploratory data analysis le anomaly detection. Tsena jaanong go fetola tiro ya gago.
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Big Data Science Course
- Thibolla maatla a data ka Thuto ya rona ya Saense ya Data e Kgolo, e diretsweng batho ba ba dirang mo go la Business Intelligence ba ba batlang go gaisana mo tirong ya bone. Ithute ka didirisiwa tsa botlhokwa jaaka Hadoop le Apache Spark go diragatsa data, itse ditsela tsa go phepafatsa data, mme o tlhotlhomise mekgwa e e kwa godimo ya go sekaseka data. Ithute go tlhama ditshwantsho tse di nang le mosola o dirisa Tableau le Power BI, mme o tlhabolole dikgakololo tse di dirisang data go dira dipapatso tse di lebanyeng le papatso e e itiretsweng motho. Tsholetsa bokgoni jwa gago ka dithuto tse di khutshwane, tsa maemo a a kwa godimo, le tse di mosola tse di diretsweng go dirisiwa mo botshelong jwa mmatota.
Thibolla maatla a data ka Thuto ya rona ya Saense ya Data e Kgolo, e diretsweng batho ba ba dirang mo go la Business Intelligence ba ba batlang go gaisana mo tirong ya bone. Ithute ka didirisiwa tsa botlhokwa jaaka Hadoop le Apache Spark go diragatsa data, itse ditsela tsa go phepafatsa data, mme o tlhotlhomise mekgwa e e kwa godimo ya go sekaseka data. Ithute go tlhama ditshwantsho tse di nang le mosola o dirisa Tableau le Power BI, mme o tlhabolole dikgakololo tse di dirisang data go dira dipapatso tse di lebanyeng le papatso e e itiretsweng motho. Tsholetsa bokgoni jwa gago ka dithuto tse di khutshwane, tsa maemo a a kwa godimo, le tse di mosola tse di diretsweng go dirisiwa mo botshelong jwa mmatota.
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Big Data Specialist Course
- Iponeng maatla a data ka Thuto ya rona ya Bomankge ba Big Data, e diretsweng bomankge ba theknoloji ba ba ikemiseditseng go gaisa mo motlheng wa dijithale. Ithuteng mekgwa ya go tlhotlhomisa data, itseng go phepafatsa le go baakanya data, mme ithuteng go tlhama ditshwantsho tse di kgatlhang. Tlhabololang ditsela tse di ka dirisiwang le maano a thekiso a a itebagantseng le bareki go tokafatsa maitemogelo a bareki. Ruang bokgoni mo go baakanyetseng dipego le go di neela, go netefatsa gore diphitlhelelo tsa lona di a tlhaloganyika e bile di na le mosola. Tsholetsang tiro ya lona ka thuto e e mosola, e e maemo a a kwa godimo, e bile e le khutshwane e e diretsweng seemo sa theknoloji sa segompieno.
Iponeng maatla a data ka Thuto ya rona ya Bomankge ba Big Data, e diretsweng bomankge ba theknoloji ba ba ikemiseditseng go gaisa mo motlheng wa dijithale. Ithuteng mekgwa ya go tlhotlhomisa data, itseng go phepafatsa le go baakanya data, mme ithuteng go tlhama ditshwantsho tse di kgatlhang. Tlhabololang ditsela tse di ka dirisiwang le maano a thekiso a a itebagantseng le bareki go tokafatsa maitemogelo a bareki. Ruang bokgoni mo go baakanyetseng dipego le go di neela, go netefatsa gore diphitlhelelo tsa lona di a tlhaloganyika e bile di na le mosola. Tsholetsang tiro ya lona ka thuto e e mosola, e e maemo a a kwa godimo, e bile e le khutshwane e e diretsweng seemo sa theknoloji sa segompieno.
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Big Data Testing Course
- Itse dintlha tsa botlhokwa tsa go sekaseka Big Data ka kosi ya rona e e feletseng e e diretsweng bomaitseanape ba thekenoloji. Ithute ka botlalo ka tshireletsego ya data, go sekaseka mokgwa wa go fitlha data, go lemoga diphatlha tsa tshireletsego le go laola gore ke bomang ba ba letlelelwang go bona data. Tlhaloganya dintlha tsa botlhokwa tsa Big Data, go akaretsa go amogela data, mekgwa ya go e baakanya le didirisiwa tsa go e boloka. Tokafatsa bokgoni jwa gago jwa go netefatsa boleng ba data, go kwala ditokomane le go bega. Ithute go dirisa didirisiwa tse di jaaka Apache JMeter go lekola bokgoni jwa tsamaiso ya data le go dira maano a a tseneletseng a go e sekaseka. Godisa bokgoni jwa gago mme o netefatse gore tsamaiso ya Big Data e nonofile.
Itse dintlha tsa botlhokwa tsa go sekaseka Big Data ka kosi ya rona e e feletseng e e diretsweng bomaitseanape ba thekenoloji. Ithute ka botlalo ka tshireletsego ya data, go sekaseka mokgwa wa go fitlha data, go lemoga diphatlha tsa tshireletsego le go laola gore ke bomang ba ba letlelelwang go bona data. Tlhaloganya dintlha tsa botlhokwa tsa Big Data, go akaretsa go amogela data, mekgwa ya go e baakanya le didirisiwa tsa go e boloka. Tokafatsa bokgoni jwa gago jwa go netefatsa boleng ba data, go kwala ditokomane le go bega. Ithute go dirisa didirisiwa tse di jaaka Apache JMeter go lekola bokgoni jwa tsamaiso ya data le go dira maano a a tseneletseng a go e sekaseka. Godisa bokgoni jwa gago mme o netefatse gore tsamaiso ya Big Data e nonofile.
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Bike Course
- Tsholetsa bokgoni jwa gago jwa baesekele ka Thuto ya rona ya Baesekele e e tletseng, e e diretsweng bomankge go oketsa bokgoni jwa bone. Ithute ka botlalo ditsela tsa go sekaseka ka matlho go bona bophepa, go lemoga tshenyo, le go bona kgobalo. Nna le bokgoni jwa metheo ya mekhiniki ya baesekele, go akaretsa go tlhaloganya dikarolo le tiriso ya didirisiwa. Ithute tlhokomelo ya drivetrain, ditlhatlhobo tsa pabalesego, tlhokomelo ya mariki, le tsamaiso ya dithaere. Itlamela ka bokgoni jwa go rarabolola mathata le mekgwa ya go baakanya mo tseleng. Ikopanye le rona jaanong go bona maitemogelo a go ithuta a a mosola e bile a le maemo a a kwa godimo.
Tsholetsa bokgoni jwa gago jwa baesekele ka Thuto ya rona ya Baesekele e e tletseng, e e diretsweng bomankge go oketsa bokgoni jwa bone. Ithute ka botlalo ditsela tsa go sekaseka ka matlho go bona bophepa, go lemoga tshenyo, le go bona kgobalo. Nna le bokgoni jwa metheo ya mekhiniki ya baesekele, go akaretsa go tlhaloganya dikarolo le tiriso ya didirisiwa. Ithute tlhokomelo ya drivetrain, ditlhatlhobo tsa pabalesego, tlhokomelo ya mariki, le tsamaiso ya dithaere. Itlamela ka bokgoni jwa go rarabolola mathata le mekgwa ya go baakanya mo tseleng. Ikopanye le rona jaanong go bona maitemogelo a go ithuta a a mosola e bile a le maemo a a kwa godimo.
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