Data Mining

Data Mining

Description

All our operations with devices such as computer, tablet and smartphone produce

data and leave traces about us. A correct analysis and evaluation of these traces

reveal patterns and information. Data mining is a method used for this purpose.

Using data mining, a company can determine its possible customers, a doctor can

diagnose various diseases based on symptoms, or digital fraud can be detected.

This course is a point of departure for those who are interested in data mining.

There are no prerequisites to take the course. This four-week course that requires

one hour of contact per week is mainly based on individual learning. Participants

need to complete a series of activities individually every week. The course

instructor will be following participants, and intervene in the activities when

required. Participants can contact the instructor for any questions related to the

course.

Course format

Guided Course

Prerequisites

You should be able to understand Turkish

 Institution

Anadolu University

 Instructor

Emrah Emre ÖZKESKİN

Emrah Emre ÖZKESKİN

Personal page

 

  Information

Language Turkish
Self-paced Yes
Hours of study 25 hours
EQF-Level EQF level 5 - Foundation/Diploma of Higher Education
Rights Open license: (re-)use it
Requirements Free admittance
Cost Free of charge
Delivery mode Learn anywhere online
QA Quality assured
Massive Massive
Full Course Experience Full course experience
Provider OpenupEd
07-Nov-2016
Data Mining
http://akadema.anadolu.edu.tr/course-veri-madenciligi.php
All our operations with devices such as computer, tablet and smartphone produce

data and leave traces about us. A correct analysis and evaluation of these traces

reveal patterns and information. Data mining is a method used for this purpose.

Using data mining, a company can determine its possible customers, a doctor can

diagnose various diseases based on symptoms, or digital fraud can be detected.

This course is a point of departure for those who are interested in data mining.

There are no prerequisites to take the course. This four-week course that requires

one hour of contact per week is mainly based on individual learning. Participants

need to complete a series of activities individually every week. The course

instructor will be following participants, and intervene in the activities when

required. Participants can contact the instructor for any questions related to the

course.
Turkish
Self-paced
Start anytime
0
25
Anadolu University
http://akadema.anadolu.edu.tr/
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Guided Course
You should be able to understand Turkish
For more information about the EFQ levels click here
EQF level 5 - Foundation/Diploma of Higher Education
Emrah Emre ÖZKESKİN
1. Select an image to upload (add files)
2. Click 'start upload'
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Data Mining
No
Massive
Full Course Experience

Further information

In order to show thecertifications stated below you have to send us a manual request. Please contact for more information.

  • 0
Anadolu University
2016-12-06 14:13:49
Türkçe
Veri Madenciliği
Bilgisayarlar, tabletler ya da akıllı telefonlar gibi cihazlardaki bütün eylemlerimiz veri üretir ve bize dair bir iz bırakır. Eğer bu izler doğru analiz edilir ve değerlendirilirse desen ve bilgiler açığa çıkartılabilir. Veri madenciliği bu amaçla kullanılan bir yöntemdir. Veri madenciliğini kullanarak bir firma olası müşterilerini belirleyebilir; bir doktor semptomlardan farklı hastalıkları tanılayabilir ya da dijital dolandırıcılıklar tespit edilebilir. Veri madenciliğine giriş olarak adlandırdığımız bu dersimiz bu konulara merak duyan kişilere bir başlangıç noktası olmayı hedeflemektedir.

Bu derse katılmak için önşart yoktur. Veri madenciliğini merak eden herkes için başlangıç aşaması olarak tasarlanan bu ders, haftalık bir saat, toplam 4 hafta zaman alacak şekilde tasarlanmıştır. Ders büyük ölçüde bireysel öğrenmeye dayalı geliştirilmiştir. Her hafta bir dizi etkinliği bireysel olarak tamamlamanız beklenmektedir ancak dersin öğretim elemanı sürekli olarak sizleri izleyecek ve gerekli durumlarda uyarılarda bulunacaktır. Ayrıca ihtiyaç duyduğunuzda ders ile ilgili sorularınızı, dersin öğretim elemanlarına sorabilirsiniz.
Rehber Gözetimli

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