Big Data Analytics (I)
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Curriculum
References
Syllabus/RPS
Announcements
Week 1 - Introduction to Big Data Analytics
M1-Introduction to Big Data Analytics
Week 2 - Descriptive Analytics
Material and Practical session
Week 3 - Diagnostic Analytics and Introduction to R
Materials and Practical Session
Week 4 & 5 - R programming
Materials
Exercise
Week 6 - Project Assignment
Project 1 - Descriptive and Diagnostic analytics
Assignment Description and Data
Week 7 - Project Assignment (Presentation and Discussion)
Project discussion
Week 8 - Regression
Regression analysis
Regression Analysis
Week 9 - Multiple Regression and Model Selection
Multiple Regression and Model Selection
Material
Exercise
Week 10 - Mid Term Exam
Exam
Week 11 - Generalized Linear Models
GLMs
Materials
Exercise
Week 12 - Project Proposal
Project Proposal
Week 13 - Logistic regression and Feature selection
Feature selection techniques
Exercise
Material
Week 14 - Classification
Classification: Logistic regression, discriminant analysis, support vector machine
Materials
Week 15 - SVM and Progress on Project
Material
Week 16 - Final Exam - Project Presentation
Final project evaluation
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Panduan Dosen
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[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
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Big Data Analytics (I)
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Institut Teknologi Sepuluh Nopember
Magister
Fakultas Desain Kreatif dan Bisnis Digital
S-2 MANAJEMEN TEKNOLOGI ANALITIKA BISNIS
Semester Genap 2019/2020
Big Data Analytics (I)
Summary
Big Data Analytics (I)
Teacher:
Achmad Choiruddin