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課綱

週次 時間 資料科學學習主題 實習課與程式學習進度
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1 09/12 Orientation Rstudio installation, Markdown, Datacamp custom track
2 09/19 Introduction to Data Science and Text Analytics Rstudio environment and basics of R: variables, data types, built-in plot;
3 09/26 R data structures vectors; conditionals
4 10/03 Preparing / Obtaining Data data structures; I/O, looping
5 10/10 Holiday (review of Base R using DataCamp custom track)
6 10/17 Data Wrangling dplyrggplot2
7 10/24 Data Wrangling more on dplyr; tidying data
8 10/31 Exploratory data analysis statistics (descriptive, hypothesis testing, linear regression); string manipulation;
9 11/07 Mid-term exam
10 11/14 Data preprocessing encoding; regular expression
11 11/21 Corpus and NLP handling large textual data; Chinese word segmentation/POS
12 11/28 (Guest lecture) (Chinese AI-NLP forum)
13 12/05 Statistics and Data modelling web: crawling
14 12/12 Text analytics [I]: text classification and clustering web: cleaning and preprocessing
15 12/19 Text analytics [II]: sentiment analysis web: applications
16 12/26 Text analytics [III]: texts in the social media web: applications
17 01/02 Reporting and Presenting Data wrap-up
18 01/09 Final term project presentation and report due (oral and poster presentation)

課程投影片 | slides

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