modyuli #1 Xingheniso xa Nxopaxopo wa Data Nkatsakanyo wa nxopaxopo wa datha, nkoka, na matirhiselo
modyuli #2 Tinxaka ta Data na Swihlovo Tinxaka ta datha, swihlovo swa datha, na tindlela to hlengeleta datha
modyuli #3 Ku Lunghiselela na ku Hlantswa Data Nkoka wa ku basisiwa ka datha, ku tirhana na mimpimo leyi kayivelaka, na ku cinca ka datha
modyuli #4 Masungulo ya ku Vonakala ka Data Ku nghenelela eka ku vona datha, tinxaka ta tiploto, na maendlelo lamanene
modyuli #5 Tinhlayohlayo leti Hlamuselaka Mimpimo ya mboyamelo wa le xikarhi, ku cinca-cinca, na ku hangalasiwa ka datha
modyuli #6 Ku katsakanya na ku hlengeletiwa ka datha Ku hlengeletiwa ka datha, ku hlengeleta, na tithekiniki ta ku katsakanya
modyuli #7 Ku vona Data hi mahlo ya mianakanyo ya Nxopaxopo wa Univariate Ku vona swilo swin’we leswi cinca-cincaka hi ku tirhisa tihistogram, tiploto ta mabokisi , na swin'wana
modyuli #8 Ku Vonakala ka Data hi Nxopaxopo wa Bivariate Ku vona vuxaka exikarhi ka swilo swimbirhi leswi cinca-cincaka hi ku tirhisa tiploto to hangalaka na swin'wana
modyuli #9 Xingheniso xa Tinhlayohlayo ta Xiringanyeto Masungulo ya tinhlayo ta xiringanyeto, ku hangalasiwa ka swikombiso, na swiphemu swa ku tshemba
modyuli #10 Ku kamberiwa ka swiringanyeto Ku vumba swiringanyeto, tinxaka ta swikambelo, na miehleketo ya swikambelo
modyuli #11 Swikarhi swa ku tshemba na ku ringanyeta Ku aka swiphemu swa ku tshemba na ku ringanyeta tipharamitha ta vaaki
modyuli #12 ANOVA na Nxopaxopo wa ku tlhelela endzhaku Nxopaxopo wa ku hambana, ku tlhelela endzhaku ko olova na ko tala, na ku aka xikombiso
modyuli #13 Nxopaxopo wa Nxaxamelo wa Nkarhi Ku nghenelela eka nxopaxopo wa nxaxamelo wa nkarhi, swiphemu, na ku aka xikombiso
modyuli #14 Maendlelo yo vhumbha Ku olovisa ka xikombiso, ARIMA, na tithekiniki tin’wana to vhumbha
modyuli #15 Ku Cimiwa ka Data na Dyondzo ya Michini Nkatsakanyo wa ku ceriwa ka data, ku dyondza hi muchini, na dyondzo leyi languteriweke
modyuli #16 Tialgorithm ta Dyondzo leti Langutisiwaka Mirhi ya swiboho, makhwati lama nga hlelekangiki, na tialgorithm tin’wana to dyondza leti languteriweke
modyuli #17 Tialgorithm ta Dyondzo leti nga langutisiwangiki Ku hlengeleta, k-means, na ku hlengeletiwa ka xiyimo
modyuli #18 Nxopaxopo wa Matsalwa na Vukorhokeri bya Ririmi ra Ntumbuluko Ku nghenelela eka nxopaxopo wa matsalwa, NLP, na nxopaxopo wa matitwelo
modyuli #19 Nxopaxopo wa Data na Python Ku tirhisa Python eka nxopaxopo wa data, ti pandas, NumPy, na Matplotlib
modyuli #20 Nxopaxopo wa Data hi R Ku tirhisa R eka nxopaxopo wa data, ku tirhisiwa ka data, na ku vona hi mahlo
modyuli #21 Nxopaxopo wa Data hi Excel Ku tirhisa Excel eka nxopaxopo wa datha, matafula ya pivot, na ku endla tichati
modyuli #22 Nxopaxopo wa Data leyikulu Ku nghenelela eka datha leyikulu, Hadoop, na Spark
modyuli #23 Ku Hlamusela Switori swa Data na Vuhlanganisi Ku hlanganisa hi ndlela leyinene vutivi na mimbuyelo eka vakhomaxiave
modyuli #24 Ku Pfuxeta & Mahetelelo ya Khoso Ku pulana magoza lama landzelaka eka ntirho wa Nxopaxopo wa Data
U lunghekele ku dyondza, ku avelana ni ku phikizana?
