[R-sig-teaching] Data Science Materials

[AbouEl-Makarim Aboueissa]

Dear Sander:


This course will be a mixed of introduction to data science and introduction
to statistical machine learning.



*Topics to be covered (tentative)*


-Data preparation

-Exploratory data analysis and visualization

-Cluster and classification (Supervised and unsupervised learning algorithms
)

-Principal component

-Factor analysis

-Logistic regression

-Decision trees

-Association rules

-Model assessment

-Classification

-Bootstrap aggregation

-Shrinkage regression



with many thanks
abou

______________________


*AbouEl-Makarim Aboueissa, PhD*

*Professor of Statistics*

*Department of Mathematics and Statistics*
*University of Southern Maine*


On Wed, Dec 6, 2017 at 9:33 AM, Sander <sander1981 at gmail.com> wrote:

> Dear Abou,
>
> Do you have a list of topics you'd like to discuss?
>
> Kind regards,
> Sander
>
> On Wed, Dec 6, 2017 at 2:57 PM, AbouEl-Makarim Aboueissa <
> abouelmakarim1962 at gmail.com> wrote:
>
>> Dear All: good morning
>>
>>
>> I am planning to teach a course in practical data science using R, may be
>> in Fall 2018. I am wondering if someone have some materials on data
>> science
>> such as notes, R codes, and etc.
>>
>> It will be highly appreciated if they are willing to share such materials
>> with others.
>>
>>
>> with many thanks
>> abou
>> ______________________
>>
>>
>> *AbouEl-Makarim Aboueissa, PhD*
>>
>> *Professor of Statistics*
>>
>> *Department of Mathematics and Statistics*
>> *University of Southern Maine*
>>
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>>
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>
>

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