{"id":7493,"date":"2023-02-13T22:40:46","date_gmt":"2023-02-13T19:40:46","guid":{"rendered":"https:\/\/www.niobehosting.com\/blog\/?p=7493"},"modified":"2023-02-14T04:50:01","modified_gmt":"2023-02-14T01:50:01","slug":"veri-analizi-nedir-veri-analiz-yontemleri-nelerdir","status":"publish","type":"post","link":"https:\/\/www.niobehosting.com\/blog\/veri-analizi-nedir-veri-analiz-yontemleri-nelerdir\/","title":{"rendered":"Veri Analizi Nedir? Veri Analiz Y\u00f6ntemleri Nelerdir?"},"content":{"rendered":"\n

Veri analizi, verilerden i\u00e7g\u00f6r\u00fc ve bilgi elde etmek i\u00e7in \u00e7e\u015fitli teknikler ve ara\u00e7lar kullanma s\u00fcrecidir. Verileri temizlemeyi, d\u00f6n\u00fc\u015ft\u00fcrmeyi ve modellemeyi; kal\u0131plar\u0131 ve e\u011filimleri belirlemek i\u00e7in istatistiksel ve makine \u00f6\u011frenimi y\u00f6ntemlerini kullanmay\u0131 i\u00e7erebilir. Veri analizinin amac\u0131, bilgiye dayal\u0131 kararlar vermek veya ara\u015ft\u0131rmay\u0131 desteklemek i\u00e7in kullan\u0131labilecek yararl\u0131 bilgiler ve i\u00e7g\u00f6r\u00fcler sa\u011flamakt\u0131r.<\/p>\n\n\n\n

Veri analizi, yap\u0131land\u0131r\u0131lm\u0131\u015f veriler (veri tabanlar\u0131 gibi) ve yap\u0131land\u0131r\u0131lmam\u0131\u015f veriler (metin, resimler veya ses gibi) dahil olmak \u00fczere \u00e7e\u015fitli veri t\u00fcrleri \u00fczerinden ger\u00e7ekle\u015ftirilebilir. Veri analizinde; tan\u0131mlay\u0131c\u0131 istatistik, g\u00f6rselle\u015ftirme, veri madencili\u011fi, makine \u00f6\u011frenimi <\/strong>ve istatistiksel modelleme<\/strong> gibi kullan\u0131labilecek bir\u00e7ok farkl\u0131 teknik vard\u0131r.<\/p>\n\n\n\n

Veri analistleri, veri analizi yapmak i\u00e7in Excel, R, Python, SAS, SQL<\/strong> vb. \u00e7e\u015fitli ara\u00e7lar\u0131 kullan\u0131r. Kullan\u0131lan \u00f6zel ara\u00e7 ve teknikler, analiz edilen verinin t\u00fcr\u00fcne ve sorulan soruya ba\u011fl\u0131 olacakt\u0131r.<\/p>\n\n\n\n

Genel olarak veri analizi, i\u015fletmelerin, ara\u015ft\u0131rmac\u0131lar\u0131n ve i\u015fletmelerin verilerini anlamalar\u0131na, e\u011filimleri ve kal\u0131plar\u0131 belirlemelerine, daha iyi kararlar almalar\u0131na ve operasyonlar\u0131n\u0131 iyile\u015ftirmelerine yard\u0131mc\u0131 olabilecek i\u00e7g\u00f6r\u00fcler \u00e7\u0131karmalar\u0131na yard\u0131mc\u0131 olan hayati bir s\u00fcre\u00e7tir.<\/p>\n\n\n\n

Veri Analizi Yapmak Neden \u00d6nemlidir?<\/h2>\n\n\n\n

Veri analizi yapmak<\/strong>, a\u015fa\u011f\u0131daki bir\u00e7ok nedenden dolay\u0131 \u00f6nemlidir:\u00a0<\/p>\n\n\n\n

1. Bilgiye dayal\u0131 kararlar verme<\/h3>\n\n\n\n

Veri analizi, i\u015fletmelerin stratejik planlama ve karar verme konusunda bilgi sa\u011flayabilecek i\u00e7g\u00f6r\u00fc ve bilgiler sa\u011flayarak veri odakl\u0131 kararlar almas\u0131na olanak tan\u0131r.<\/p>\n\n\n\n

2. E\u011filimleri ve kal\u0131plar\u0131 belirleme<\/h3>\n\n\n\n

Veri analizi, gelecekteki davran\u0131\u015flar\u0131 tahmin etmek veya iyile\u015ftirme f\u0131rsatlar\u0131n\u0131 belirlemek i\u00e7in kullan\u0131labilen, verilerdeki hemen g\u00f6r\u00fcn\u00fcr olmayabilecek e\u011filim ve kal\u0131plar\u0131 belirlemeye yard\u0131mc\u0131 olabilir.<\/p>\n\n\n\n

3. Operasyonlar\u0131 iyile\u015ftirme<\/h3>\n\n\n\n

Veri analizi, verimsizlik alanlar\u0131n\u0131 belirlemek veya farkl\u0131 s\u00fcre\u00e7 ve stratejilerin etkinli\u011fini de\u011ferlendirmek i\u00e7in kullan\u0131labilir.<\/p>\n\n\n\n

4. M\u00fc\u015fteri anlay\u0131\u015f\u0131<\/h3>\n\n\n\n

Veri analizi, m\u00fc\u015fterileri, davran\u0131\u015flar\u0131n\u0131 ve ihtiya\u00e7lar\u0131n\u0131 daha iyi anlamak i\u00e7in kullan\u0131labilir. Bu, i\u015fletmelerin \u00fcr\u00fcn ve hizmetlerini geli\u015ftirmelerine ve daha etkili pazarlama stratejileri geli\u015ftirmelerine yard\u0131mc\u0131 olur.<\/p>\n\n\n\n

5. Maliyet tasarrufu<\/h3>\n\n\n\n

Veri analizi, i\u015fletmelerin verimsizlik alanlar\u0131n\u0131 belirleyerek, israf\u0131 azaltmas\u0131na ve \u00fcretkenli\u011fi art\u0131rarak maliyetleri azaltmas\u0131na yard\u0131mc\u0131 olabilir.<\/p>\n\n\n\n

6. Uyumluluk<\/h3>\n\n\n\n

Veri analizi, gerekli verileri ve i\u00e7g\u00f6r\u00fcleri sa\u011flayarak i\u015fletmelerin yasal ve d\u00fczenleyici gerekliliklere uymas\u0131na yard\u0131mc\u0131 olabilir.<\/p>\n\n\n\n

7. Ara\u015ft\u0131rma<\/h3>\n\n\n\n

Veri analizi, bir\u00e7ok alandaki ara\u015ft\u0131rmac\u0131lar i\u00e7in hayati bir ara\u00e7t\u0131r ve ara\u015ft\u0131rmac\u0131lar\u0131n hipotezleri test etmelerine, kal\u0131plar\u0131 belirlemelerine ve yeni ke\u015fifler yapmalar\u0131na olanak tan\u0131r.<\/p>\n\n\n\n

Veri Analiz S\u00fcreci Nedir?<\/h2>\n\n\n
\n
\"\"<\/figure>\n<\/div>\n\n\n

Veri analizi s\u00fcreci, birka\u00e7 a\u015famay\u0131 i\u00e7eren \u00e7ok ad\u0131ml\u0131 bir s\u00fcre\u00e7tir:<\/p>\n\n\n\n

1. Sorunu tan\u0131mlay\u0131n<\/h3>\n\n\n\n

Veri analiz s\u00fcrecindeki ilk ad\u0131m, yan\u0131tlamaya \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131z sorunu veya soruyu tan\u0131mlamakt\u0131r. Bu, ne t\u00fcr verilere ihtiyac\u0131n\u0131z oldu\u011funu ve ne t\u00fcr analizler yapman\u0131z gerekti\u011fini belirlemenize yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n\n\n\n

2. Verileri toplay\u0131n ve haz\u0131rlay\u0131n<\/h3>\n\n\n\n

Bir sonraki ad\u0131m, verileri analiz i\u00e7in toplamak ve haz\u0131rlamakt\u0131r. Bu, veri temizleme, veri d\u00f6n\u00fc\u015ft\u00fcrme ve veri entegrasyonu gibi g\u00f6revleri i\u00e7erebilir.<\/p>\n\n\n\n

3. Verileri ke\u015ffedin<\/h3>\n\n\n\n

Veriler haz\u0131rland\u0131ktan sonraki ad\u0131m, \u00f6zelliklerini daha iyi anlamak i\u00e7in verileri ke\u015ffetmektir. Bu, tan\u0131mlay\u0131c\u0131 istatistikler ve g\u00f6rselle\u015ftirme gibi g\u00f6revleri i\u00e7erebilir.<\/p>\n\n\n\n

4. Verileri modelleyin<\/h3>\n\n\n\n

Verileri ke\u015ffettikten sonraki ad\u0131m, ilk a\u015famada tan\u0131mlanan sorunu veya soruyu yan\u0131tlamak i\u00e7in verileri modellemektir. Bu, istatistiksel modelleme, veri madencili\u011fi ve makine \u00f6\u011frenimi gibi g\u00f6revleri i\u00e7erebilir.<\/p>\n\n\n\n

5. Sonu\u00e7lar\u0131 do\u011frulay\u0131n ve yorumlay\u0131n<\/h3>\n\n\n\n

Verileri modelledikten sonraki ad\u0131m, sonu\u00e7lar\u0131 do\u011frulamak ve yorumlamakt\u0131r. Bu, modelin performans\u0131n\u0131 de\u011ferlendirme, sonu\u00e7lar\u0131 yorumlama ve olas\u0131 sorunlar\u0131 veya s\u0131n\u0131rlamalar\u0131 belirleme gibi g\u00f6revleri i\u00e7erebilir.<\/p>\n\n\n\n

6. Sonu\u00e7lar\u0131 iletin<\/h3>\n\n\n\n

Son ad\u0131m, sonu\u00e7lar\u0131 ba\u015fkalar\u0131na iletmektir. Bu, bulgular\u0131 ve i\u00e7g\u00f6r\u00fcleri payla\u015fmak i\u00e7in raporlar, g\u00f6rselle\u015ftirmeler ve sunumlar olu\u015fturmay\u0131 i\u00e7erebilir.<\/p>\n\n\n\n

Bu genel bir s\u00fcre\u00e7tir, \u00e7\u00f6zmeye \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131z belirli soruna, sahip oldu\u011funuz veri t\u00fcr\u00fcne ve kulland\u0131\u011f\u0131n\u0131z ara\u00e7 ve tekniklere ba\u011fl\u0131 olarak s\u00fcre\u00e7 biraz de\u011fi\u015febilir. Ancak, \u00f6zetlenen ad\u0131mlar, veri analizi i\u00e7in genel bir \u00e7er\u00e7eve sa\u011flar.<\/p>\n\n\n\n

Veri Analiz Ara\u00e7lar\u0131<\/h2>\n\n\n\n

Veri analizi i\u00e7in bir\u00e7ok farkl\u0131 ara\u00e7 mevcuttur, en pop\u00fcler olanlardan baz\u0131lar\u0131 a\u015fa\u011f\u0131dakileri i\u00e7erir:<\/p>\n\n\n\n

1. Excel<\/h3>\n\n\n\n

Excel, veri analizi i\u00e7in yayg\u0131n olarak kullan\u0131lan bir ara\u00e7t\u0131r ve \u00f6zellikle k\u00fc\u00e7\u00fck ve orta \u00f6l\u00e7ekli veri k\u00fcmeleriyle \u00e7al\u0131\u015fmak i\u00e7in kullan\u0131\u015fl\u0131d\u0131r. Veri i\u015fleme, g\u00f6rselle\u015ftirme ve modelleme i\u00e7in bir\u00e7ok yerle\u015fik i\u015flev ve \u00f6zelli\u011fe sahiptir.<\/p>\n\n\n\n

2. R<\/h3>\n\n\n\n

R, veri analizi ve istatistiksel hesaplama i\u00e7in yayg\u0131n olarak kullan\u0131lan bir programlama dilidir. Veri i\u015fleme, g\u00f6rselle\u015ftirme ve modelleme i\u00e7in geni\u015f bir paket ve k\u00fct\u00fcphane ekosistemine sahiptir.<\/p>\n\n\n\n

3. Python<\/h3>\n\n\n\n

Python, veri analizi i\u00e7in yayg\u0131n olarak kullan\u0131lan bir ba\u015fka pop\u00fcler programlama dilidir. Veri i\u015fleme, g\u00f6rselle\u015ftirme ve modelleme i\u00e7in pandas, numpy, scikit-learn gibi bir\u00e7ok k\u00fct\u00fcphane ve \u00e7er\u00e7eveye sahiptir.<\/p>\n\n\n\n

4. SQL<\/h3>\n\n\n\n

SQL, ili\u015fkisel veri tabanlar\u0131n\u0131 y\u00f6netmek ve sorgulamak i\u00e7in kullan\u0131lan domaine \u00f6zg\u00fc bir dildir. Veri \u00e7\u0131karma ve veri temizleme i\u00e7in yayg\u0131n olarak kullan\u0131l\u0131r.<\/p>\n\n\n\n

5. SAS<\/h3>\n\n\n\n

SAS, veri y\u00f6netimi ve istatistiksel analiz i\u00e7in tescilli bir yaz\u0131l\u0131m paketidir. \u0130\u015f, finans ve ara\u015ft\u0131rma alanlar\u0131nda yayg\u0131n olarak kullan\u0131lmaktad\u0131r.<\/p>\n\n\n\n

6. Tableau<\/h3>\n\n\n\n

Tableau, kullan\u0131c\u0131lar\u0131n etkile\u015fimli ve g\u00f6rsel olarak \u00e7ekici panolar ve raporlar olu\u015fturmas\u0131na olanak tan\u0131yan bir veri g\u00f6rselle\u015ftirme arac\u0131d\u0131r.<\/p>\n\n\n\n

7. Power BI<\/h3>\n\n\n\n

Power BI, kullan\u0131c\u0131lar\u0131n \u00e7e\u015fitli veri kaynaklar\u0131na ba\u011flanmas\u0131na, g\u00f6rselle\u015ftirmeler olu\u015fturmas\u0131na ve \u00f6ng\u00f6r\u00fcleri payla\u015fmas\u0131na olanak tan\u0131yan bir i\u015f zekas\u0131 arac\u0131d\u0131r.<\/p>\n\n\n\n

KNIME, RapidMiner, Alteryx de veri i\u015fleme ve modelleme i\u00e7in kullan\u0131c\u0131 dostu bir aray\u00fcz sa\u011flayan pop\u00fcler veri analiz ara\u00e7lar\u0131d\u0131r.<\/p>\n\n\n\n

Bunlar, veri analizi i\u00e7in mevcut bir\u00e7ok ara\u00e7tan sadece birka\u00e7 \u00f6rnektir. Arac\u0131n se\u00e7imi, analiz edilen verinin t\u00fcr\u00fcne, yap\u0131lmas\u0131 gereken spesifik analize ve analizi yapan ki\u015finin beceri d\u00fczeyine ba\u011fl\u0131d\u0131r. <\/p>\n\n\n\n

Veri Analizi T\u00fcrleri: Teknikler ve Y\u00f6ntemler<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

Veri analizinde kullan\u0131lan bir\u00e7ok farkl\u0131 teknik ve y\u00f6ntem vard\u0131r, fakat en yayg\u0131n olarak kullan\u0131lanlar a\u015fa\u011f\u0131daki \u015fekildedir: <\/p>\n\n\n\n

1. Tan\u0131mlay\u0131c\u0131 istatistikler<\/h3>\n\n\n\n

Tan\u0131mlay\u0131c\u0131 istatistikler, bir veri k\u00fcmesinin ana \u00f6zelliklerini \u00f6zetlemek ve a\u00e7\u0131klamak i\u00e7in kullan\u0131l\u0131r. Tan\u0131mlay\u0131c\u0131 istatistikler, ortalama, medyan, mod ve standart sapma gibi \u00f6l\u00e7\u00fcmleri i\u00e7erebilir.<\/p>\n\n\n\n

2. G\u00f6rselle\u015ftirme<\/h3>\n\n\n\n

G\u00f6rselle\u015ftirme; \u00e7izelgeler, \u00e7izimler ve haritalar gibi verilerin grafik temsillerini olu\u015fturma i\u015flemidir. G\u00f6rselle\u015ftirme, verilerdeki kal\u0131plar\u0131 ve e\u011filimleri anlamay\u0131 kolayla\u015ft\u0131r\u0131r.<\/p>\n\n\n\n

3. Veri temizleme<\/h3>\n\n\n\n

Veri temizleme, verilerdeki hatalar\u0131 ve tutars\u0131zl\u0131klar\u0131 belirleyip d\u00fczeltme veya ortadan kald\u0131rma i\u015flemidir. Veri temizleme, eksik de\u011ferleri doldurma, yinelenen kay\u0131tlar\u0131 kald\u0131rma ve verileri standartla\u015ft\u0131rma gibi g\u00f6revleri i\u00e7erir.<\/p>\n\n\n\n

4. Veri d\u00f6n\u00fc\u015ft\u00fcrme<\/h3>\n\n\n\n

Veri d\u00f6n\u00fc\u015ft\u00fcrme, verileri bir bi\u00e7imden veya yap\u0131dan di\u011ferine d\u00f6n\u00fc\u015ft\u00fcrme i\u015flemidir. Veri d\u00f6n\u00fc\u015ft\u00fcrme, verileri normalle\u015ftirme, verileri toplama ve yeni de\u011fi\u015fkenler olu\u015fturma gibi g\u00f6revleri i\u00e7erir.<\/p>\n\n\n\n

5. Veri madencili\u011fi<\/h3>\n\n\n\n

Veri madencili\u011fi, b\u00fcy\u00fck veri k\u00fcmelerinden kal\u0131plar\u0131 ve bilgileri belirleme s\u00fcrecidir. Bu, birliktelik kural\u0131 madencili\u011fi, k\u00fcme analizi ve anormallik tespiti gibi teknikleri i\u00e7erebilir.<\/p>\n\n\n\n

6. Makine \u00f6\u011frenimi<\/h3>\n\n\n\n

Makine \u00f6\u011frenimi, verilere dayal\u0131 tahminler veya kararlar almak i\u00e7in e\u011fitim modellerini i\u00e7eren bir yapay zeka dal\u0131d\u0131r. Makine \u00f6\u011frenimi, regresyon, karar a\u011fa\u00e7lar\u0131 ve sinir a\u011flar\u0131 gibi teknikleri i\u00e7erebilir.<\/p>\n\n\n\n

7. \u0130statistiksel modelleme<\/h3>\n\n\n\n

\u0130statistiksel modelleme, bir veri k\u00fcmesindeki de\u011fi\u015fkenler aras\u0131ndaki ili\u015fkileri tan\u0131mlayan modeller olu\u015fturmak i\u00e7in istatistiksel teknikleri kullanma s\u00fcrecidir. Bu, do\u011frusal regresyon, lojistik regresyon ve zaman serisi tahmini gibi teknikleri i\u00e7erebilir.<\/p>\n\n\n\n

Metin madencili\u011fi, g\u00f6r\u00fcnt\u00fc analizi, ses analizi vb. de belirli veri analizi t\u00fcrleridir.<\/p>\n\n\n\n

Yukar\u0131dakiler, veri analizinde kullan\u0131lan bir\u00e7ok teknik ve y\u00f6nteminden sadece birka\u00e7\u0131d\u0131r. Kullan\u0131lan belirli teknikler, analiz edilen verinin t\u00fcr\u00fcne ve sorulan soruya ba\u011fl\u0131 olacakt\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"

Veri analizi, verilerden i\u00e7g\u00f6r\u00fc ve bilgi elde etmek i\u00e7in \u00e7e\u015fitli teknikler ve ara\u00e7lar kullanma s\u00fcrecidir. Verileri temizlemeyi, d\u00f6n\u00fc\u015ft\u00fcrmeyi ve modellemeyi; kal\u0131plar\u0131 ve e\u011filimleri belirlemek i\u00e7in…<\/p>\n","protected":false},"author":11,"featured_media":7512,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[],"class_list":["post-7493","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-is"],"yoast_head":"\nVeri Analizi Nedir? Veri Analiz Y\u00f6ntemleri Nelerdir? - Niobe Hosting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.niobehosting.com\/blog\/veri-analizi-nedir-veri-analiz-yontemleri-nelerdir\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Veri Analizi Nedir? Veri Analiz Y\u00f6ntemleri Nelerdir? - Niobe Hosting\" \/>\n<meta property=\"og:description\" content=\"Veri analizi, verilerden i\u00e7g\u00f6r\u00fc ve bilgi elde etmek i\u00e7in \u00e7e\u015fitli teknikler ve ara\u00e7lar kullanma s\u00fcrecidir. 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