12 darussan kan layi a cikin Injiniyan Data

12 darussan kan layi a cikin Injiniyan Data
A cewar Statista, ta 2025 girman babban kasuwar bayanai zai girma zuwa 175 zettabytes idan aka kwatanta da 41 a cikin 2019 (jadawalin). Don samun aiki a wannan filin, kuna buƙatar fahimtar yadda ake aiki tare da manyan bayanan da aka adana a cikin gajimare. Cloud4Y ya tattara jerin darussan injiniyan bayanai na 12 da aka biya da kyauta waɗanda za su faɗaɗa ilimin ku a fagen kuma zai iya zama kyakkyawan mafari akan hanyar ku zuwa takaddun shaida na girgije.

Magana

Menene injiniyan bayanai? Wannan shi ne mutumin da ke da alhakin ƙirƙira da kuma kula da gine-ginen bayanai a cikin aikin Kimiyyar Bayanai. Nauyin zai iya haɗawa da tabbatar da kwararar bayanai tsakanin uwar garken da aikace-aikace, haɗa sabbin software na sarrafa bayanai, inganta tsarin bayanan da ke ƙasa, da ƙirƙirar bututun bayanai.

Akwai adadi mai yawa na fasaha da kayan aikin da injiniyan bayanai dole ne ya kware don yin aiki tare da ƙididdigar girgije, ɗakunan ajiya na bayanai, ETL (haɓaka, canji, ɗaukar nauyi), da sauransu. Bugu da ƙari, yawan ƙwarewar da ake buƙata yana haɓaka koyaushe don haka injiniyan bayanai yana buƙatar ci gaba da cika iliminsa akai-akai. Jerinmu ya haɗa da darussa don masu farawa da ƙwararrun ƙwararrun ƙwararru. Zaɓi abin da ya dace da ku.

1. Takaddar Injiniya Nanodegree Takaddun shaida (Udacity)

Za ku koyi yadda ake ƙirƙira ƙirar bayanai, ƙirƙirar wuraren adana bayanai da tafkunan bayanai, sarrafa bututun bayanai da aiki tare da tsararrun bayanan bayanai. A ƙarshen shirin, zaku gwada sabbin ƙwarewar ku ta hanyar kammala aikin Capstone.

duration: 5 watanni, 5 hours a mako
Harshe: Turanci
Cost: $ 1695
Mataki: farko

2. Zama Takaddar Injiniyan Data (Coursera)

Suna koyarwa daga asali. Kuna iya ci gaba mataki-mataki, ta amfani da laccoci da ayyukan hannu don yin aiki akan ƙwarewar ku. A ƙarshen horon, za ku kasance a shirye don yin aiki tare da ML da manyan bayanai. Ana ba da shawarar sanin Python aƙalla a ƙaramin matakin.

duration: 8 watanni, 10 hours a mako
Harshe: Turanci
Cost😕
Mataki: farko

3. Zama Injiniyan Bayanai: Kwarewar Ka'idodin (LinkedIn Koyo)

Za ku haɓaka injiniyan bayanai da ƙwarewar DevOps, koyon yadda ake ƙirƙirar aikace-aikacen Big Data, ƙirƙirar bututun bayanai, aiwatar da aikace-aikacen a ainihin lokacin ta amfani da Hazelcast da bayanai Hadoop.

duration: Ya dogara da ku
Harshe: Turanci
Cost: watan farko - kyauta
Mataki: farko

4. Darussan Injiniya (Data)edX)

Anan akwai jerin shirye-shirye waɗanda ke gabatar muku da injiniyan bayanai kuma suna koya muku yadda ake haɓaka hanyoyin nazari. An raba darussan zuwa nau'ikan bisa ga matakin wahala, don haka zaku iya zaɓar ɗaya gwargwadon matakin ƙwarewar ku. Yayin horon za ku koyi amfani da Spark, Hadoop, Azure da sarrafa bayanan kamfanoni.

duration: Ya dogara da ku
Harshe: Turanci
Cost: ya dogara da zaɓaɓɓen hanya
Mataki: mafari, matsakaici, ci gaba

5. Injiniya Data (DataQuest)

Wannan darasi ya cancanci ɗauka idan kuna da gogewa tare da Python kuma kuna son zurfafa ilimin ku da gina aiki azaman masanin kimiyyar bayanai. Za ku koyi yadda ake gina bututun bayanai ta amfani da Python da pandas, za ku loda manyan bayanai a cikin bayanan Postgres bayan tsaftacewa, canzawa da ingantawa.

duration: Ya dogara da ku
Harshe: Turanci
Cost: ya dogara da fam ɗin biyan kuɗi
Mataki: mafari, matsakaici

6. Injiniya Data tare da Google Cloud (Coursera)

Wannan kwas ɗin zai taimaka muku samun ƙwarewar da kuke buƙata don gina aiki a cikin manyan bayanai. Misali, aiki tare da BigQuery, Spark. Za ku sami ilimin da kuke buƙatar shirya don sana'a-sanarwar Google Cloud Professional Data Engineer takaddun shaida.

duration: wata 4
Harshe: Turanci
Cost: kyauta a yanzu
Mataki: mafari, matsakaici

7. Injiniyan Bayanai, Babban Bayanai akan Dandalin Google Cloud (Coursera)

Wani kwas mai ban sha'awa wanda ke ba da ilimin aiki na tsarin sarrafa bayanai a cikin GCP. A lokacin darasi, za ku koyi yadda ake tsara tsarin kafin fara tsarin ci gaba. Bugu da ƙari, za ku kuma bincika bayanan da aka tsara da waɗanda ba a tsara su ba, yi amfani da sikelin atomatik, da amfani da dabarun ML don fitar da bayanai.

duration: wata 3
Harshe: Turanci
Cost: kyauta a yanzu
Mataki: mafari, matsakaici

8. UC San Diego: Babban Data Specialization (Coursera)

Kwas ɗin ya dogara ne akan yin amfani da tsarin Hadoop da Spark da amfani da waɗannan manyan dabarun bayanai zuwa tsarin ML. Za ku koyi kayan yau da kullun na amfani da Hadoop tare da MapReduce, Spark, Pig, da Hive. Koyi yadda ake gina samfuran tsinkaya kuma yi amfani da nazarin jadawali don ƙirar matsaloli. Lura cewa wannan kwas ɗin baya buƙatar kowane ƙwarewar shirye-shirye.

duration: 8 watanni 10 hours a mako
Harshe: Turanci
Cost: kyauta a yanzu
Mataki: farko

9. Taming Big Data Tare da Apache Spark da Python (Udemy)

Za ku koyi yadda ake amfani da tsarin rafi da firam ɗin bayanai a cikin Spark3, kuma ku sami fahimtar yadda ake amfani da sabis na Rage Map ta Elastic na Amazon don aiki tare da tarin Hadoop ɗinku. Koyi don gano matsaloli a cikin babban binciken bayanai kuma ku fahimci yadda ɗakunan karatu na GraphX ​​ke aiki tare da binciken cibiyar sadarwa da kuma yadda zaku iya amfani da MLlib.

duration: Ya dogara da ku
Harshe: Turanci
Cost: daga 800 rubles zuwa $ 149,99 (dangane da sa'ar ku)
Mataki: mafari, matsakaici

10. Shirin PG a Babban Injiniyan Bayanai (upGrad)

Wannan kwas ɗin zai ba ku fahimtar yadda Aadhaar ke aiki, yadda Facebook ke keɓance abincin labarai, da kuma yadda za a iya amfani da Injiniyan Bayanai gabaɗaya. Mahimman batutuwan za su kasance sarrafa bayanai (ciki har da sarrafa-lokaci), MapReduce, babban nazarin bayanai.

duration: wata 11
Harshe: Turanci
Cost: kusan $3000
Mataki: farko

11. Masanin Kimiyyar Bayanan Sana'a (Akwatin fasaha)

Za ku koyi tsara shirye-shirye a cikin Python, kuyi nazarin tsarin horar da hanyoyin sadarwar jijiya Tensorflow da Keras. Jagoran MongoDB, PostgreSQL, SQLite3 bayanai, koyi aiki tare da Pandas, NumPy da dakunan karatu na Matpotlib.

duration: 300 hours na horo
Harshe: Rashanci
Cost: farkon watanni shida kyauta, sannan 3900 rubles kowace wata
Mataki: farko

12. Injiniya Data 7.0 (Sabbin Sana'o'i Lab)

Za ku sami zurfin bincike na Kafka, HDFS, ClickHouse, Spark, Airflow, gine-ginen lambda da kappa architecture. Za ku koyi yadda ake haɗa kayan aiki da juna, samar da bututu, samun mafita na asali. Don yin karatu, ana buƙatar ƙaramin ilimin Python 3.

duration: 21 darasi, makonni 7
Harshe: Rashanci
Cost: daga 60 zuwa 000 rubles
Mataki: farko

Idan kuna son ƙara wani kwas mai kyau a cikin jerin, zaku iya cire rajista a cikin sharhi ko a cikin PM. Za mu sabunta sakon.

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source: www.habr.com

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