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نجلاء سعد راشد الهزاني

nsalhazzani@ksu.edu.sa
course

339 Stat

Data Analysis 

Weeks Title
1 Descriptive statistics and representation
2 Criterion of Correlation
3-5 Regression models: Linear, Multiple, Logistic, Poisson 
6-7 Hypothesis Testing (Parametric and Non-parametric)
8-11 Clustering and Classification 
12-14 Machine Learning  (overview) 

كتاب المقرر: التحليل الإحصائي متعدد المتغيرات- باستخدام حزم ساس
المؤلفون: أ. د. هشام مصطفى النشواتي،أ. د. خلف سلمان سلطان، أ. د. عبد الحميد عبد الله الزيد

  • Discovering Statistics Using R, Zoe FieldAndy FieldJeremy Miles.
  • Introduction to multivariate analysis. C. Chatfield and A.J. Collins, Chapman and Hall, 1980; revised edition 2000.
  • Everitt, B.S., Landau, S., and Leese, M., Cluster Analysis, fourth edition. Arnold, 2001.
  • Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) 1st Edition. by Ronald K. Pearson.
  • Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving. Deborah NolanDuncan Temple Lang (Chapman & Hall/CRC The R Series) 1st Edition 

 

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