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Mode ya ku Dyondza
10 Timodyuli / ~100 matluka
Mode ya Wizard
~25 Timodyuli / ~400 matluka
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Endla xiendlakalo .

Switirhisiwa swa le Mapapa swa Sayense ya Data
( 25 Timodyuli )

modyuli #1
Xingheniso xa Khomphyuta ya le Mapapa
Nkatsakanyo wa khomphyuta ya le mapapa, mimbuyelo, na miehleketo ya nkoka
modyuli #2
Nkatsakanyo wa Vaphakeri va le Mapapa
Ku pimanisiwa ka vaphakeri lavakulu va le mapapa (AWS, Azure, GCP, IBM Cloud)
modyuli #3
Swisekelo swa Vuhlayiseki bya le Mapapa
Swivilelo swa vuhlayiseki, maendlelo lamanene, na ku landzelela eka xigwitsirisi
modyuli #4
Sayense ya Data eka Xirhendzevutani
Swilo leswinene swa sayense ya datha leyi simekiweke eka papa, swiyimo swa matirhiselo leswi tolovelekeke
modyuli #5
Swihlawulekisi swa Vuhlayiselo bya le Papa
Nkatsakanyo wa vukorhokeri bya vuhlayiselo bya le mapapa (S3, Vuhlayiselo bya Blob, Vuhlayiselo bya le Mapapa)
modyuli #6
Ku Nghena na ku Endliwa ka Data
Ku nghenisa na ku tirhisa tidathaseti letikulu eka xigwitsirisi (Kinesis, Event Hubs, Cloud Pub/Sub)
modyuli #7
Vuhlayiselo bya Data lebyi simekiweke eka papa
Swintshuxo swa vuhlayiselo bya datha leswi simekiweke eka papa (Redshift, BigQuery, Synapse)
modyuli #8
Dyondzo ya Muchini leyi simekiweke eka papa
Nkatsakanyo wa vukorhokeri bya dyondzo ya michini leyi simekiweke eka papa (SageMaker, Azure Machine Learning , AutoML)
modyuli #9
Ku hlanganisiwa ka swikhomela-ndhawu swa Sayense ya Data
Ku tirhisa swikhomela-ndhawu (Docker) eka maendlelo ya ntirho ya sayense ya datha leyi nga humelerisiwaka
modyuli #10
Ku Hlela Swikhomela-ndhawu leswi simekiweke eka papa
Ku hlengeleta swikhomela-ndhawu eka papa (Kubernetes, ECS, ACI)
modyuli #11
Ku Khomphyuta loku nga riki na Sevha ya Sayense ya Datha
Miehleketo ya khomphyuta leyi nga riki na sevha na matirhiselo eka sayense ya datha
modyuli #12
Ku Vona ka Data loku simekiweke eka Papa
Switirhisiwa na vukorhokeri bya ku vona datha leyi simekiweke eka papa (Tableau, Power BI, D3. js)
modyuli #13
Nxopaxopo wa Data leyikulu eka Xirhendzevutani
Ku lulamisa na ku xopaxopa datha leyikulu eka xigwitsirisi (Hadoop, Spark, HBase)
modyuli #14
Ku Endliwa ka Ririmi ra Ntumbuluko leri simekiweke eka papa
Vukorhokeri bya NLP lebyi simekiweke eka papa na switirhisiwa (NLTK, spaCy, Stanford CoreNLP)
modyuli #15
Xivono xa Khomphyuta lexi simekiweke eka papa
Vukorhokeri bya xivono xa khompyuta lexi simekiweke eka papa na switirhisiwa (OpenCV, TensorFlow, PyTorch)
modyuli #16
Maqhinga yo Antswisa Ntsengo wa le Papa
Tithekiniki to antswisa ku durha ka mapapa eka ndzhwalo wa ntirho wa sayense ya datha
modyuli #17
Vumaki bya le mapapa bya Sayense ya Datha
Ku dizayina vumaki bya le mapapa lebyi nga ringanisiwaka na lebyi tirhaka kahle eka ndzhwalo wa ntirho wa sayense ya datha
modyuli #18
Ntirhisano lowu simekiweke eka papa na Vulawuri bya Vuhundzuluxi
Ntirhisano na vuhundzuluxi switirhisiwa swo lawula swipano swa sayense ya data eka xigwitsirisi (GitHub, GitLab, Bitbucket)
modyuli #19
Ku Langutisisa na ku Loga leswi simekiweke eka papa
Switirhisiwa swo langutisisa na ku loga swa ndzhwalo wa ntirho wa sayense ya datha leyi simekiweke eka papa
modyuli #20
Cloud-based Backup na Ku Vuyisa
Maqhinga ya vuhlayiselo na ku vuyisa eka ndzhwalo wa ntirho wa sayense ya datha leyi simekiweke eka papa
modyuli #21
Vuhlayiseki bya le mapapa bya Sayense ya Datha
Maendlelo lamanene ya vuhlayiseki eka ndzhwalo wa ntirho wa sayense ya datha eka papa
modyuli #22
Ku Landzelela na Vulawuri bya Mapapa
Ku tekeriwa enhlokweni ka ku landzelerisa na vulawuri eka ndzhwalo wa ntirho wa sayense ya datha leyi simekiweke eka papa
modyuli #23
Ku rhurhela Mindzhwalo ya Ntirho ya Sayense ya Datha eka Xirhendzevutani
Maqhinga yo rhurhela ndzhwalo wa ntirho wa sayense ya datha ya le ndzeni ka ndhawu eka xigwitsirisi
modyuli #24
Ku aka Datha leyi simekiweke eka Papa Xipano xa Sayense
Ku tekeriwa enhlokweni ka nhlangano ku aka ntlawa wa sayense ya datha leyi simekiweke eka papa
modyuli #25
Ku Pfuxeta & Mahetelelo ya Khoso
Ku pulana magoza lama landzelaka eka ntirho wa Cloud Infrastructure for Data Science


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