106 學年度夏季學院 【資料科學程式設計】

CS+X Data Science Programming

Introduction

嗨嚕嚕
我是李映儒 ((but welcome to call me Lulu~~
國立臺灣師範大學 華語文教學系 準大一生
喜歡欣賞/參加藝文活動，其中最愛的是音樂與電影
對於未來充滿微妙的新奇，也因此想藉由學習獲得額外的「個人資產」
目前目標：希望能對程式設計運籌帷幄，在此如魚得水、享受悠遊其中！

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Week 1

Progress

 Sign up GitHub
 Install GitHub Desktop, R, RStudio, and Sublime Text 3
 Edit READ.ME through Sublime Text 3 and GitHub Desktop
 Add HW1(R Markdown and R HTML) through RStudio
 Learn Introduction to R in DataCamp

HW1

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Week 2

Progress

 Add Class_Practice1
 Know more about R
自己動手做分析（R語言）__ https://www.youtube.com/watch?v=3k0FPGNhTOY
 Understand the function of “chunk” and the principle of R
 Try to draw different plots/bars to complete HW2_Part1
 Add HW2_Part1
 Search and select the topic in PTT
 Get the topic: Tech_Job Class
 Text Mining
 Add HW2_Part2

Class_Practice1

HW2_Part1

HW2_Part2

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Week_3:

Progress

 Learn Introduction to R Tidyverse in Datacamp (pipe/filter/mutate)
 EDA in Kaggle
 Select the topic: iOS in App Store
 Look for the “points” and compare the items inside the .csv
 My opinion
 Add HW3_Part1
 Text mining in PTT: Senior Class
 Read the code and Debug to write my own code
 See the results and add my opinion
 TFIDF→PCA→Kmeans
 Add HW3_Part2

HW3_Part1

HW3_Part2

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Week_4:

Progress

 Make up the class
 Find the data last week unusable
 Search for the new data (←it’s a hard work I)
 Select the new data and debug (←it’s a pretty hard work II)
 Merge and compare the list in the data ”10408”
 T-test
 My opinion
 Add EDA to T-test (HW4_Part1)
 Got some problems in ANOVA with the data “10408”
 Recall the data ”Apps” last week and do statistics and regression
 Watch the clips on teaching film
利用R語言進行ANOVA __
https://www.youtube.com/watch?v=8PAlrHCM_Fg
 Try to turn the code into my own and debug while working on it
 My opinion
 Add EDA to ANOVA to Statistics and Regression (HW4_Part2)

EDA to T-test

EDA to ANOVA to Statistics and Regression

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Week 5

Progress

 Speech sharing
 Shiny
 Prepare the project for the next week
 Topic
 Motivation
 Coding
 PPT

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Week 6

Progress

 Project

[Shiny] → (view the file in Week_6/app.R)

PPT